Department of Information Sciences and Technology Abstracts

Presenter(s): Hilary Cumming

Showcase Advisor: Angel Ford

Abstract: Perfectionism is understood to be a complex and multidimensional thought process that is rooted in rigid, unforgiving beliefs.  It is associated with an array of unhealthy cognitive, behavioral and physical manifestations which can deeply affect the mental health of adolescents at a delicate point in emerging identity formation.  Many studies have linked perfectionist mindsets with Classical musicians, however there is a notable lack of research on elite adolescents who are on a professional music track and what interventions might help this population.  Standing on the shoulders of the groundbreaking work on mindset interventions of Carol Dweck, whose research advocates for “Growth Mindset” over “Fixed Mindset,” and Patrick Gaudreau, who advocates for intentionally replacing the concept of “Perfectionism” with the concept of “Excellencism,” this study will build towards a clear, concise scaffolded approach that teachers, families and students can use to break the hold that perfectionism exerts on a sensitive population.

Presenter(s): Rubi Martinez

Showcase Advisor: Rawan Almakinah

Presenter(s): Rishmitha Gurram

Showcase Advisor: Rawan Almakinah

Presenter(s): Erica Reven

Showcase Advisor: Jennifer Goodall

Abstract: The rapid growth of artificial intelligence (AI) tools is reshaping how college students engage with online and asynchronous learning. This paper will examine how AI is being used by online learners as a form of academic support, while also exploring concerns related to academic integrity, overreliance, and reduced critical thinking. It will focus on the ways AI can function as a virtual tutor for remote students who lack immediate access to peers and instructors, as well as the ethical challenges institutions face when trying to regulate its use. By analyzing current scholarly research on AI in education and online learning environments, this paper will argue that AI can enhance student success when used responsibly, but must be paired with clear policies to prevent misuse.

Presenter(s): Precious Akazi

Showcase Advisor: Angel Ford

Abstract: AI technologies are now being used in skincare and cosmetic applications. These systems show that it is full of personalization and appear to be “objective,” but there are concerns about algorithmic bias and reinforcement of societal beauty standards. There is limited research examining whether these tools can be trusted, so my presentation will showcase my research findings on trust and perceived bias in skincare and cosmetic AI systems.

Presenter(s): Murphy Sorich

Showcase Advisor: Angel Ford

Abstract: The proposed research is in the field of archival processing and description, exploring the themes of decolonial and anti-racism archival frameworks, community archiving practice, and the handling of privacy and personally identifying information in archival practice. The gap in the research and the focus of the proposed qualitative research is to explore how community archives process and describe materials that contain personally identifying information of sensitive and/or marginalized groups. The goal of the proposed research is to identify current practices and challenges in the archival field that balance the safety and security of personally identifying information (PII) while ensuring marginalized groups are represented and not erased historically.

Presenter(s): Imani Smith

Showcase Advisor: Jennifer Goodall

Abstract: Being a college student-athlete means constantly balancing two demanding roles: being a full-time student and a competitive athlete. Between practices, games, travel, and training, student-athletes often have much less time to focus on academics compared to other students. This presentation looks at the challenges student-athletes face when trying to keep up with school while meeting the expectations of their sport. Using research on student-athletes in college, it explores how time demands, academic pressure, and stress can impact their college experience. It will also discuss the importance of support systems like sports psychological services, tutoring, academic advising, and time management strategies that help student-athletes stay successful in the classroom while still competing. Understanding these challenges can help colleges better support student-athletes so they don’t have to choose between success in school and success in their sport.

Presenter(s): Anthony Palumbo

Showcase Advisor: Jennifer Goodall

Abstract: Current students in colleges are under more academic, social, and financial strain than ever before, which has a major effect on their mental well-being and overall performance. This presentation discusses the increasing incidence of anxiety, depression, and burnout in college students, along with the factors in the institution and in society that lead to these issues. Using academic literature, the project discusses the obstacles to mental health service access and assesses the measures that can be taken by colleges to enhance well-being, resilience, and academic endurance. By knowing the overlap between mental health and student success, the institutions can then be in a better position to support students in or out of the classroom.

Presenter(s): Jesenia Mathew

Showcase Advisor: Angel Ford

Abstract: Violent criminal behavior is a complex phenomenon influenced by biological, psychological, and social factors. While criminological research has traditionally focused on sociological and environmental explanations for violence, biological influences remain comparatively underexplored. Research in genetics, neurophysiology, and brain structure suggests that certain biological traits may predispose individuals to impulsive or aggressive behavior. These factors often interact with environmental influences such as childhood trauma and intergenerational stress. This research proposal examines the biological foundations of violent behavior through a biosocial framework that integrates biological and environmental influences. Drawing on existing literature in criminology, psychology, and neuroscience, the study explores how biological predispositions may contribute to violent behavior when combined with social and environmental conditions. By highlighting the role of biological factors in violent crime, this research aims to contribute to a more comprehensive understanding of criminal behavior.

Presenter(s): Deanna Ryder-Sawyer

Showcase Advisor: Angel Ford

Abstract: Why are teenagers so difficult to attract to public libraries? This research proposal will cover theories as to why and provide methods of discovering the true reasons.

Presenter(s): Bri McIntire

Showcase Advisor: Angel Ford

Abstract: A research proposal to explore the frequency and causes of burnout and mental illness symptoms in individuals new to the library profession, with less than five years experience. The research is mixed methods and explores professionals in public, private and academic libraries.

Challenges in Asynchronous Online Learning for Students With ADHD: Examining the Difficulties Faced by Students with Attention Deficit/Hyperactivity Disorder in Asynchronous Online Learning Environments, and Proposing Potential Solutions for Institutions of Higher Education

Presenter(s): Johnathan Bramhall

Showcase Advisor: Jennifer Goodall

Abstract: For my presentation, I will address the issues faced by students with ADHD in an asynchronous online learning environment within higher education.  
I will first establish the difficulties faced by these students within the context of asynchronous online classes;  I will then look at prior studies on the subject and present any solutions that have already been found. Finally I will conclude by suggesting potential solutions based on my findings.

Presenter(s): Ryan Kushner

Showcase Advisor: Jennifer Goodall

Abstract: First-generation college students are those whose parents never attended college. These kinds of students face a lot of challenges when they enroll to pursue their higher education. This presentation is all about the challenges faced by first-generation college students. This project is a scholarly research on the challenges faced by first-generation college students. This project will focus on how the university helps such kinds of students through mentoring programs. This presentation will shed light on the importance of first-generation college students.

Presenter(s): jason slim

Showcase Advisor: Carol Anne Germain

Abstract: This project looks at the information environment of the Clifton Park community and how people access important information through local institutions. The main focus of this project is the Clifton Park-Halfmoon Public Library and how it supports the community by providing access to information, technology, and services. Throughout the project I saw how the library functions as an information environment and how people in the community use it to access reliable information. I also examined community health indicators using PolicyMap to better understand the health conditions in the Clifton Park area. The data showed that the community generally has strong access to healthcare, high health insurance coverage, and good access to grocery stores, which all support overall health. Now there are some gaps that need to be worked on. But overall, this project highlights how local institutions like libraries can help communities access important information and improve overall wellbeing.

Presenter(s): Javier Gonzalez

Showcase Advisor: Carol Anne Germain

Abstract: Public libraries increasingly serve as community information hubs that promote digital access, health information, and civic engagement. This project investigates the Guilderland Public Library in Guilderland, New York, as a case study of how a suburban public library supports information equity and community well-being. Using PolicyMap data, institutional documents, site observations, and staff insights, the study assesses technology access, community health information needs, and the library’s role as a social “third place.” Findings indicate that while the community benefits from strong broadband connectivity, challenges related to digital literacy and information confidence persist. The project concludes with recommendations to improve digital literacy programs, strengthen health-information partnerships, and enhance the library’s role as a community-centered digital equity hub.

Presenter(s): Emma Zwickel

Showcase Advisor: Angel Ford

Abstract: The proposed research study, The Essence of Instagram: Content, e-Interaction, & Promotional Outcomes, seeks to uncover undergraduate students' experiences with library services as reflected in their perceptions of university libraries’ Instagram pages. With a particular focus on contextual optimization, eInteraction, and service promotion tactics, two bi-coastal universities meeting two prerequisite criteria will be selected, and purposive sampling will be used to identify ten student interviewees. Semi-structured interview questions will focus on the library resources and services students frequently use, whether and how Instagram engagement inspired their interest in the library, and suggestions for increased interaction and service expansion. In support of students’ autonomy, the Uses and Gratifications Theory (UGT) will be brought forth as a conceptual framework. Interview questions and subsequent open coding analysis will therefore assert that students are uniquely motivated in their reasons for choosing to interact with and use library-generated media and offered services.

Presenter(s): Michael Fabretti

Showcase Advisor: Jennifer Goodall

Abstract: I will be covering advantages and disadvantages of experiential learning in comparison with other teaching methods. 
I will cover Kolb's theory and dig into the different parts of the cycle the theory describes, and talk about different learning styles.

Presenter(s): Shatiese Wilson

Showcase Advisor: Angel Ford

Abstract: Student engagement is discussed often in education, especially when it comes to hands on learning environments like makerspaces. Many educators believe that when students are creating and solving problems, they become more involved in the learning process. Hands on learning allows students to actively participate rather than just participate in traditional instruction. However, there is still limited research that directly compares student engagement in hands on learning environments and more traditional learning environments.

This proposed study would explore whether there is a measurable difference in student engagement between students participating in hands on learning activities and those experiencing traditional instruction. The study would use a quantitative approach and collect survey data from K-12 students to measure aspects of engagement such as participation, interest, and effort. By comparing engagement levels across learning environments, the study aims to better understand how the type of learning experience may influence how engaged students feel.

Presenter(s): Aditya Patel

Showcase Advisor: Jennifer Goodall

Abstract: In this project, the focus is on how commuter and introverted students might feel disconnected from the college community and how this might influence their feelings of belonging, participation in the classroom, self-confidence, and academic achievement. For many students, it is difficult to navigate feelings of loneliness, imposter syndrome, and hesitation to seek help when they do not feel connected to the college community. This presentation will also consider how the structure of the classroom, teaching style, AI technology, and engaging learning strategies can help students feel more connected and supported in the college community. In many ways, this project is focusing on the invisible students and the challenges they might experience and how this might influence their academic success.

Presenter(s): Abraham Velez Rodriguez, Zachari Zegadlo, Alisha Hassell, Aria Curcio, Charles DiPietro, Cifer Ruswick, Cylus Brooks, David Rutkowski, Derek Pember, Ethan Bissell, Jacob Miller, Jaden Wang, Jayden Latchman, Jerry Ho, Arien Shams, Michael Carter, Morgan Rogers, Nicole Hilbert, Christopher Garcia, Ryan Sy, Sean Reyes, Stephen Gravereaux, Tyler Wong, Vincent Jiang, Sam Hautzig, Koby Tanoh, Trevor Forde

Showcase Advisor: Michael Leczinsky

Abstract: Students will discuss their final project for the CGDD 271: Game Design and Development Fundamentals course. 

Presenter(s): Iqbal Afonja

Showcase Advisor: Michael Leczinsky

Abstract: Firewall Defender is a cybersecurity-themed reaction game where the player acts as a firewall protecting a network from cyber threats. Players must quickly decide whether to block or allow different types of traffic such as phishing attacks, malware, and normal activity. Correct decisions increase score while mistakes reduce system health. I chose this concept because my cybersecurity concentration is in cyber defense and I wanted to connect my academic focus to game design. The game was developed in Unity and demonstrates concepts like threat detection, reaction time, and decision-making under pressure.

Presenter(s): Adriana Gray

Showcase Advisor: Jennifer Goodall

Abstract: FutureTech is a concept website designed to simulate the digital presence of a fictional smartphone technology company. The project explores how UX/UI design principles can be used to create a clear and engaging product marketing experience that communicates complex technological features effectively. The design process followed the UX/UI design cycle, beginning with initial sketches and low-fidelity wireframes to establish layout and content hierarchy. These concepts were then developed into high-fidelity prototypes that refined the visual interface, interaction design, and overall user flow. The final prototype was translated into a fully deployed website, demonstrating the integration of design thinking with front-end development. This project highlights the importance of user-centered design in presenting product information clearly while maintaining strong visual appeal and intuitive navigation for users.

Presenter(s): Marcus Ade

Showcase Advisor: Angel Ford

Abstract: This research proposal is meant to analyze and display the potential correlation between video games, and aggression from the gamers that play it. It's a common assumption that the content of violent media such as video games, lead to violent actions. From the observations of most studies, that isn't exactly the case. A study that looks further into the frustration that arises from non-violent, yet challenging games might be fruitful. Can non-violent games cause players to react with as much, or greater aggression than with violent video games?

Presenter(s): Mariya Gyendina

Showcase Advisor: Rawan Almakinah

Abstract: This presentation reports on a literature review of sources exploring the impact of AI tools on how students search for and evaluate information. The presentation also touches on the issues of academic integrity.

Presenter(s): Cooper Patschureck

Showcase Advisor: Angel Ford

Abstract: Electronic waste, commonly known as e-waste, refers to discarded electronic and electrical equipment. It is produced across the world but disproportionately found in developing nations due to global trade and illegal dumping techniques. In these nations, electronic waste often sits untouched until it is either incinerated or informally recycled, both of which are dangerous. This growing environmental crisis, driven by global technological advancement, displays evidence of environmental racism as the waste burden of developed nations is put onto less developed ones. This proposal explores themes that describe the areas impacted by e-waste in developing nations: the environment, economy, and public health. Through a survey of those near e-waste sites, we can measure the impact on both people and the local environment. This will allow the people in these nations to move towards proper recycling techniques and self-sufficiency.

Presenter(s): Ratu Bolenaivalu

Showcase Advisor: Rawan Almakinah

Presenter(s): Brandon Hall

Showcase Advisor: Angel Ford

Abstract: Transportation is one of the most universal experiences within humanity. People need to be able to get places, and they need the means to get places. However, individuals are not always given agency in their choice of transportation mode with outside factors such as land-use and financial situations shaping the ways that people are able to get where they are going. This research will explore the lived experiences of those dependent on methods of transportation, with the two main groups of study being those dependent on public transportation and those reliant on personal cars for transportation. While research has been published on this topic including some great qualitative analysis of those effected, this study seeks to compare the lived experiences of both groups of people and analyze how their lives are shaped by their transportation dependency.

Presenter(s): Ryan Ulscht

Showcase Advisor: Frank Peris

Abstract: This presentation is going to display the different types of data bases used to coordinate the drones labs events. Things like collecting emails to message students to remind them they have an event or keeping track of attendance for events.

Presenter(s): Matthew Thompson

Showcase Advisor: Rawan Almakinah

Abstract: This project explores how machine learning can support enterprise architecture initiative triage during the earliest stages of intake and prioritization. Enterprise architecture teams often review many incoming initiatives under time constraints, with incomplete information and competing strategic demands. These conditions can make triage inconsistent, slow, and difficult to scale. Machine learning offers a potential way to improve this process by analyzing historical intake data and identifying patterns related to business value, risk, complexity, and strategic alignment. In this project, machine learning is examined as a decision-support tool rather than a replacement for human judgment. The analysis also considers important ethical and organizational issues, including bias, transparency, accountability, and governance. The central argument is that machine learning can improve the speed and consistency of enterprise architecture initiative triage, but only when used within a human-in-the-loop model that preserves oversight, explainability, and responsibility for final decisions.

Presenter(s): Afeer Masih

Showcase Advisor: Jennifer Goodall

Abstract: This presentation examines how peer mentorship helps student-veterans stay in college as they transition to higher education. Veterans frequently encounter distinct difficulties, such as anxiety about new environments and adjusting from a structured military setting to a more independent academic one. Drawing on Arthur Chickering’s Seven Vectors and adult learning theory, this research shows that peer educators serve as "social anchors" and "safe allies." By encouraging group reflection and demonstrating professional problem-solving, peer mentors help reduce anxiety during the transition and close skill gaps between high school and college. The study indicates that non-traditional students need inclusive support systems to succeed. As a peer educator in the Cybersecurity department, I support peer-led discussions as a key way to help veterans stay in school and create a fairer campus community.

Presenter(s): Zion Smith-Fox

Showcase Advisor: Michael Leczinsky

Abstract: This presentation is about a video game I made for my game development. This is a platformer game where you need to make it to the goal to win. It is a very easy game based on gaming logic.

Presenter(s): Sihyun Joo

Showcase Advisor: Jennifer Goodall

Abstract: Online Learning and Student Engagement in Higher Education

Presenter(s): Lia Price

Showcase Advisor: Jennifer Goodall

Abstract: For my showcase presentation, I will be focusing on how students may feel more comfortable confiding in peer educators with academic help, compared to with their professors. I want to examine what makes peer educators more approachable towards students and the differences between peer educators and professors.

Presenter(s): Emilee Memmelaar

Showcase Advisor: Angel Ford

Abstract: The topic of this proposed research study is what objects mean to an individual’s identity and how that relates to overconsumption, societal pressures, and the effects that can have on mental health. By using qualitative research methods like in-depth interviews, we can determine what the major variables are. This research is important as it will help those struggling with impulse buying and escapism to create better buying habits and alert them to a potentially harmful lifestyle.

Presenter(s): Dayana Morales Gomez

Showcase Advisor: Angel Ford

Abstract: Immigrants, asylees, and refugees are by definition in a foreign land, trying to make their way. Most often, they leave poor countries for wealthy ones. For their part, wealthy countries are more commercialized than ever – seemingly everything is available at a specific, calculated cost. In this landscape, the public library stands as one of the last truly free and open spaces. Public libraries are best known for their books, but they offer much more than that. For immigrants, they can be a lifeline. Public libraries offer free resources for language acquisition, citizenship attainment, employment, education and more. In spite of the reach and popularity of these programs, research about public libraries’ role in the lives of foreign-born populations is limited. I am proposing a qualitative study of how public libraries in the U.S. are meeting (or not meeting) the needs of immigrants, asylees, and refugees in the present day.

Presenter(s): Skylar Couch-Tellefsen

Showcase Advisor: Angel Ford

Abstract: As the primary democratic information hub, libraries have adapted to the state of the world in an effort to provide more resources to improve health literacy and provide information on personal health, well-being, and physical and mental health through expanding their collection, services, and programming. Thus far, many studies have been done to highlight different health initiatives done in public libraries that improve personal well-being and the health literacy of a given population. When determining the scope of this research, I focused on three major themes: (1) General Health Initiatives, (2) Mental Health Resources & Initiatives, and finally, (3) Health Literacy. This research project aims to address the lack of health literacy of patrons in vulnerable, lower-class communities and how libraries can develop health literacy through programming. In other words, the research focuses on how libraries can provide more resources and initiatives to improve health literacy for people in vulnerable populations.

Presenter(s): Ryan Clow

Showcase Advisor: Angel Ford

Abstract: The presentation will cover the process of gathering data, reviewing literature, and creating a research proposal that will provide a survey of academic library makerspaces. Particular emphasis will be given on how faculty from a variety of disciplines are integrating offered maker services into their curriculum across academia.

Presenter(s): Charlotte Svetkey

Showcase Advisor: Angel Ford

Abstract: This study proposal explores the ways in which the physical space designated for, or the space that is open to children, impacts their use of the library. The study proposal looks at the current state of literature and research on this topic and those related to it, through a multi-pronged lens of diversity, inclusivity, and accessibility in relation to physical library space.

Presenter(s): Savannah DeVore

Showcase Advisor: Angel Ford

Abstract: When discussing Autism Spectrum Disorder or ASD, men are the first people that come to mind. An shy little boy who refuses to talk to anyone and has a train obsession. Usually people don't consider that women can and do have autism. Because of this idea, women are under-diagnosed and sometimes misdiagnosed. Autistic women learn to 'mask' or hide their symptoms at an early age in order to fit in. Through my research study, I will be discussing the themes of gender, society, physical and mental heath, and burnout in regards to Autistic women.

Presenter(s): Nyah Oyola

Showcase Advisor: Jennifer Goodall

Abstract: The Socratic teaching method is a style of learning that focuses on discussion and questioning rather than lecturing. The method is named after ancient Greek philosopher Socrates, who believed people learn more effectively by thinking through ideas and challenging their own assumptions. Instructors ask open-ended questions that encourage students to explain their reasoning, consider different perspectives, and reflect on the topic being discussed. For college students, this method can be extremely helpful because it promotes active participation instead of passive listening. Many college courses require students to analyze information, form arguments, and support their opinions with evidence. The Socratic method helps develop these skills by encouraging students to think critically and communicate their ideas clearly during discussions. It also creates a learning environment where students feel more engaged with material and gain a deeper understanding of concepts while building confidence in their ability to contribute to academic conversations.

Presenter(s): Elizabeth Thida Htway

Showcase Advisor: Angel Ford

Abstract: This study examines how government policy shapes nonprofit operations, interactions, and accountability. The literature shows that policy design imposes constraints on nonprofit capacity through administrative burdens and restricted advocacy rights. Frameworks such as administrative burden theory, signaling theory, supplementary and complementary theory, managerial practice models, and accountability frameworks collectively demonstrate that nonprofits operate within complex, interdependent policy environments. However, these impacts are studied largely conceptually and in isolation. This study identifies three major gaps: the lack of quantified organizational impacts, insufficient staff‑level perspectives, and limited understanding of how constraints influence performance and sustainability. To address these gaps, the study applies administrative burden theory to assess learning, compliance, and psychological costs from a staff‑centered perspective. Thematic analysis is applied to interview data, capturing staff's lived experiences to identify shared themes and insights.

Presenter(s): Matthew Gregg

Showcase Advisor: Jennifer Goodall

Abstract: This project researches how technology is used, changes, and how AI changes how college students use technology within their day-to-day life as university students.

Presenter(s): Adnan Khan, Jesuloluwa Ebofin, Ronald Sanders, Tavares Young Jr, Omar Doucoure

Showcase Advisor: Jennifer Goodall

Abstract: A collection of individual games made for the Valleycats.

Presenter(s): Thomas Marvin

Showcase Advisor: Ariel Pinto

Abstract: For this presentation I'm going to take a look at the use of VPNS today's cybersecurity landscape. Expanding on the direct goal of implementing VPNS, especially for remote work. VPNS protect data whilst in transit and give secure access from a remote site. There is a risk in ways of which affect networks, in terms of configuration and how users are authenticated. I will provide a deep understanding of tech such as TLS, IPsec and SSL and their importance. Furthermore, looking at vulnerabilities, exploit from users and administrators. Lastly, how compliance can help organizations build guidelines to better use and implement this technology at different scales. This will use GRC comparisons to companies that had been affected both in a positive and negative way as well as how proper implementation builds cyber resilience through proper VPN configuration.

Presenter(s): Luimer Yumbla

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence is increasingly used in healthcare to improve diagnostic accuracy. This research examines how machine learning models can enhance the diagnosis of Lyme disease, a tick-borne illness affecting hundreds of thousands of people in the United States each year. Traditional diagnosis typically relies on the standard two-tier testing method, which combines ELISA and Western blot tests. While widely used, this approach can take several hours and may have limited sensitivity during the early stages of infection. Machine learning models offer the ability to analyze complex biomedical datasets, including antibody responses and biosensor measurements, to identify patterns associated with infection. This study investigates the advantages and limitations of using machine learning compared to traditional diagnostic methods. Potential benefits include improved diagnostic accuracy and faster analysis, while limitations include dependence on high-quality training data and the need for rigorous clinical validation. Research by Dr. Nathaniel Cady.

Presenter(s): Albert Bondzie

Showcase Advisor: Jennifer Goodall

Abstract: This is a presentation on the reason as to why college students feel unprepared to step into the real world and they feel as if they don't have the knowledge and the resources needed to accomplish the the work given to them. The feeling of inadequacy that students feel as though the whole time spent in college was wasted is a very problematic issue and I feel as if that alone needs to addressed so they know what the real world expects of them. Being able to work at a company without having to like your dragging the whole team behind is important because some people struggle to deal with lack of confidence in them self's and bring able to accomplish their job knowing they have the qualifications is important to them, but if they feel like those qualifications don't even meet the standards of society it becomes problematic.

Presenter(s): Tyler Corso

Showcase Advisor: Angel Ford

Abstract: Research on students’ reading habits has traditionally focused on academic outcomes. This research, however, explores culture as another key influence. Drawing on evidence from international studies employing qualitative, quantitative, and mixed-methods approaches, this research proposal aims to provide data to inform educators about the factors that influence students' reading habits. Today, reading extends beyond traditional books to include digital formats such as webcomics and fanfiction. Many studies still overlook these, yet these formats themself have important influences in youth and online culture.

Presenter(s): Amanda Benitez

Showcase Advisor: Norman Gervais

Abstract: Amanda’s Digital Space was created to showcase how structure and soft aesthetics can coexist. Here, I share my routines, goals, and personal systems that help me maintain academic success while prioritizing balance and well-being. My final project will be a personal lifestyle and productivity website called Amanda’s Digital Space. The site will act as a curated, calming online space that reflects my routines, goals, and interests as a college student. Many students struggle to balance school, responsibilities, and personal growth, so this website will show how I organize my time, stay productive, and stay motivated while keeping things visually appealing. The target audience is other college students who want inspiration for balance, productivity, and aesthetic organization. This topic is important because having structure and motivation helps students succeed academically and feel more in control of their daily lives.

Presenter(s): Dhruv Bhotia

Showcase Advisor: Rawan Almakinah

Abstract: A planned study investigating whether a specially designed artificial intelligence trading bot can reliably make money in the stock market is presented in this poster. It examines previous research, describes suggested techniques and analysis, and talks about constraints and moral issues. Because algorithmic trading currently makes up almost 70% of all trading activity in the US stock market, the study is important. Algorithms can now recognize intricate market patterns without the need for explicit theoretical models thanks to developments in machine learning. This study assesses whether predictive financial AI can consistently take advantage of market inefficiencies and generate useful, lucrative trading strategies by creating and testing a custom AI bot.

Presenter(s): Amari Adams

Showcase Advisor: Norman Gervais

Abstract: This website, Inside the Mind of a UAlbany Student, explores some of the common experiences students face while attending the University at Albany. College can be exciting but also stressful as students learn to balance classes, studying, clubs, and independence. The site discusses topics like stress and mental health, time management, and study techniques that help students succeed in college courses. It also highlights important campus resources such as tutoring, academic advising, and counseling services. Overall, the goal of this website is to give a better understanding of student life at UAlbany and show the support systems available to help students manage stress and succeed academically.

Presenter(s): Kishan Johnson, Wooseok Jung, Carolyn Frias, Woodjamy Exea, Douglas Ufomba

Showcase Advisor: Jonathan Crispino

Abstract: A college campus is supposed to be safe. In 2026, there were at least 18 incidents of gunfire on school grounds. Campus safety can be a major concern. There might be a situation where a blue light isn’t always available. UAlbany is a public campus; anyone is free to walk around the campus, which sounds unsafe. This project focuses on design and development through 3D printing. We will  develop a wearable safety device that contacts campus authorities or calls 911.   
This will be a faster and more reliable way to contact authorities when a student feels unsafe. This device will be discreet and easy to activate, allowing authorities to see your exact location when in danger without much trouble. We will explore how students feel about a public campus, their needs, and how to improve campus safety. The prototype should be reliable and provide quick responses in times of danger.

Presenter(s): Jonathan Paguay

Showcase Advisor: Norman Gervais

Abstract: (excuse my previous submission) This presentation will be on the website that I built during the semester. The website is about climate change and will give brief information on it, as well as being connected to other webpages that show the different regions affected by climate change.

Presenter(s): Lauren Forbes

Showcase Advisor: Norman Gervais

Abstract: My project and the theme of my website will be about music more specifically focusing on my favorite artists. I will be able to delve into who these artists are and why I enjoy them as much as I do. I think people who would be curious and intrigued by my website are other fellow music listeners and enjoyers who are willing to understand my taste in music.

Presenter(s): diana Castellanos

Showcase Advisor: Norman Gervais

Abstract: The topic of my website would contain information on the effects of fast fashion on climate change. I feel like this would be an interesting topic and overall theme. This theme is an important topic because it's important to keep in mind what clothing you're buying and what company's you're buying from. This would be for the public audience; many people are not aware of the damage fast fashion is doing to the earth and climate, it's important to bring awareness to it.

Presenter(s): Erioluwa Adesanya

Showcase Advisor: Norman Gervais

Abstract: My website will be a hair page for the business “Styled by Eri”. This website is important because it is an accessible way to book a hair appointment, allowing you to browse through the different styles offered in order to choose what style suits you. The audience of the page will black students on campus with the range of popular black hairstyles being offered.

Presenter(s): Sarah Griffin

Showcase Advisor: Norman Gervais

Abstract: Even after thousands of years, Ancient Greece's influence is still seen in many places today around the world such as the United States.  It is also important to study ancient history to learn more about how humans have changed over time. Therefore,  the website covers different city-states that had the greatest impact on the civilization. The main city-states chosen are Athens, Sparta, and Thebes. and the events that occurred each year.  Each page of the website details the specific city's geography, influential figures, and a brief timeline of notable events. The first page focuses on Athens and its many philosophers. The second page covers Sparta and its military conflicts. The last page covers Thebes' role in Greek conflicts. Hopefully, this site can help educate people more on parts of Greek history they might not know about. Overall, the site aims to be educational and get people more interested in history.

Presenter(s): Anna Obremski

Showcase Advisor: Norman Gervais

Abstract: This will be a presentation about the website I made for my final project for CINF201.

Presenter(s): Dakarai Lawrence

Showcase Advisor: Norman Gervais

Abstract: My project will consist of creating a website that will serve as an interactive webpage that will explore different artists' popularity among the worlds. With multiple varieties of music and different genres, my final website will be developed for people to hopefully find a new artist and explore out of their comfort zone.

Presenter(s): Christos Annivas

Showcase Advisor: Norman Gervais

Abstract: My project will consist of creating a website for a gym that gives people a real look at what the gym has to offer. A lot of people choose their gym based on what they can find online, so having a well-built website can make a big difference in attracting new members. My final website will be designed for anyone who is looking to get active, whether they are experienced gym-goers or just starting out. It will bring together everything someone would want to know before joining, like membership options, class schedules, and trainer information, all in a clean and visually appealing way that matches the energy you feel when you walk through the doors of a gym.

Presenter(s): David Frimpong

Showcase Advisor: Norman Gervais

Abstract: This presentation introduces a website designed to guide aspiring entrepreneurs through the process of starting their own fashion brand. The site provides step-by-step information on key stages such as developing a brand identity, designing clothing, sourcing materials, manufacturing, marketing, and launching products. The goal of the website is to make fashion entrepreneurship more accessible by providing straightforward guidance, helpful resources, and real-world tips. By the end of the presentation, the audience will understand how the platform helps individuals turn a creative idea into a structured fashion business while avoiding common mistakes that new designers often face.

Presenter(s): Aaron Thomas

Showcase Advisor: Norman Gervais

Abstract: My presentation is about a show I enjoy. Depending on the person it can get very confusing how the powers in the show works and how each person is involved in the story. My website can help a little bit with that and give a brief summary of things for anyone interested

Presenter(s): Noe Perez

Showcase Advisor: Norman Gervais

Abstract: My project consists of a website dedicated to Colombian professional soccer/football player Luis Díaz, currently playing as a forward in FC Bayern Munich in the Bundesliga (Germany).  Luis Díaz has become one of the most exciting players in world of soccer/football, representing not only his club but also the pride of Colombia on the international stage. This website is gives fans at a both casual and dedicated level a single place to learn about his journey from a small town in Colombia all the way to one of the biggest soccer/football clubs in the world. The target audience is soccer/football fans, sports enthusiasts, and anyone interested in learning more about one of South America's biggest stars.

Presenter(s): Shawn Tanaka

Showcase Advisor: Norman Gervais

Abstract: This project is a website that compares Major League Soccer (MLS) and the J.League in Japan. It examines differences in league statistics, playing style, player development systems, and league structure. The website uses tables, images, and explanations to highlight how the two leagues operate and how soccer culture differs between the United States and Japan. The project was created using HTML and CSS.

Presenter(s): David Finch, Gashley LaFleur, Joseph Bonfiglio, Seven Garcia, Evendrissa Louis-Jeune

Showcase Advisor: Jennifer Goodall

Abstract: As a team, we collaborated to provide the ValleyCats team with a promo night to use for their upcoming baseball season.  We decided to have the theme night be "College Night" to celebrate the return to school and put a spotlight on the local universities.  As a team, we gave the ValleyCats games for in-between innings, to be played on their concourse, and recommendations for different sponsors to have there.

Presenter(s): Sohan Radhakrishnan

Showcase Advisor: Norman Gervais

Abstract: Showcasing a website I made in class where users can find new music and listen to playlists based on their mood

Presenter(s): Emmanuel Antwi

Showcase Advisor: Norman Gervais

Abstract: For my project, my idea is to make a clothing brand website. The reason this idea first came to mind is because my cousin has a very successful clothing brand called Nodisturbance and Safealways with well-designed websites. My older brother also has an interest in starting a clothing brand, but he is worried about the expenses of hiring someone to make a website for him. This project would be a good way for me to gain experience and understand what would be required if I were to make a website for him in the future. My target audience would be people who are looking to buy clothing.

Presenter(s): Steven Marin

Showcase Advisor: Norman Gervais

Abstract: My final project website will be about the band Phish that I like and focus on their discography and History. Music has always been important to me. The website will include the Musicians, some information about them and their music, and demonstrate my proficiency in web design.

Presenter(s): Noah Kalus

Showcase Advisor: Abdullah Canbaz

Abstract: Can a AI-driven computer vision model perform better than humans at solving puzzles? Specifically the classic "Where's Waldo?" puzzle.

Presenter(s): Nicolas Berntson

Showcase Advisor: Jennifer Goodall

Abstract: - Showing off 3D printing projects. 

• Demonstrating software and applications of how to design and print 3D models.
• Showcase how to export it to printer as well as how filament works.

Presenter(s): Vanessa Taveras Sepulveda

Showcase Advisor: Richard Rose

Abstract: I will be doing research in how machine learning may improve prosthetics that that are based more on technology systems. With machine learning in prosthetics they are not just waiting for commands but are actively predicts what the user is trying to do.

Presenter(s): Shayaan Khaliq

Showcase Advisor: Abdullah Canbaz

Abstract: Artificial Intelligence is reshaping cybersecurity from reactive defense to predictive resilience. By integrating machine learning, behavioral analytics, and automated response systems, organizations can detect anomalies, identify zero-day exploits, and mitigate threats in real time. 

At the same time, adversarial AI, model poisoning, and automated attack frameworks are expanding the threat landscape. Cybersecurity must therefore evolve to secure not only networks and endpoints, but also data pipelines, training environments, and deployed models.

The future of digital security depends on this convergence, where intelligent systems both protect and must themselves be protected.

Presenter(s): David Espinoza

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence is becoming an important part of many industries, helping with tasks such as data analysis, automation, and decision-making. However, as AI systems become more advanced, they also require large amounts of computing power, which increases energy use and raises concerns about environmental impact. This project explores whether the growth of AI can be considered sustainable by looking at the energy required to train and run large AI models and the carbon emissions associated with data centers. It also examines efforts to reduce these impacts, including more efficient hardware, improved algorithms, and the use of renewable energy to power data centers. While AI can consume significant energy, ongoing improvements in technology and energy management show that its environmental footprint can be reduced. Overall, AI has the potential to become more sustainable if developers, companies, and policymakers continue to prioritize energy efficiency and cleaner sources of power

Presenter(s): Elijah Williams

Showcase Advisor: Rawan Almakinah

Abstract: Satellite navigation systems are essential for many modern technologies, including transportation, communication, and emergency services. Systems within the Global Navigation Satellite System (GNSS) rely on signals transmitted from satellites to receivers on Earth, but these signals are vulnerable to interference. Two common threats are jamming, which disrupts signals, and spoofing, which manipulates signals to provide false information. As reliance on satellite-based services continues to grow, detecting these disruptions has become increasingly important. This research explores how artificial intelligence (AI) can help identify unusual patterns in satellite signal data that may indicate interference or malicious activity. By analyzing datasets of GNSS signals under normal and disrupted conditions, this study evaluates how AI-based detection methods could improve monitoring and help protect the reliability of satellite navigation systems.

Presenter(s): Tiffany Paruolo

Showcase Advisor: Jill Cofield

Abstract: As artificial intelligence (AI) is quickly adapting and influencing the digital environment, the use of deep fakes and deception is a growing concern. This research design will be conducted in three lines of effort. The first line of effort will be exploring how the absence of fact-checking and monitoring of social media content impact individuals being deceived from AI generated deepfakes and increase the risk of human-caused disasters for emergency managers. The second line of effort will focus on what mitigation measures emergency managers can utilize to prevent the deception from a threat actor who uses AI generated deepfakes to manipulate the public and emergency service personnel. The third line of effort will have a case study analysis on a recent event that resulted in a large group of individuals being deceived from AI generated content that was spread through social media.

Presenter(s): Clark Constant

Showcase Advisor: Abdullah Canbaz

Abstract: This study will examine how AI can be used to spread extremist rhetoric. Studying how AI-generated content is used in online spaces can help researchers understand how modern technology can lead to radicalization. It can also help lawmakers and tech companies develop better tools and ways to detect and limit the spread of AI-generated extremist propaganda.

Presenter(s): Mesyah Thomas-Harvey

Showcase Advisor: Rawan Almakinah

Abstract: With most artificial intelligence systems being based on large language models, they often produce confident hallucinations. In these hallucinations, the model gives inaccurate information that is completely made up while presenting it with confidence. This project examines why these hallucinations occur and the factors that contribute to them. This will be done by reviewing model outputs and examining the way language models generate-text, while also looking at the specific causes behind these hallucinations. The research will focus on how the statistical nature of language models, which predict likely words rather than verify factual accuracy, can lead to these errors. It will also consider how limitations in training data, gaps in knowledge, and the model’s objective to produce fluent responses can encourage it to generate plausible-sounding but incorrect information. Understanding these limitations is important for improving AI reliability, guiding the development of better safeguards, and encouraging responsible use of AI systems.

Presenter(s): Christopher Blick

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence is changing cybersecurity in a big way, especially when it comes to detecting threats and responding to incidents before they spiral out of control. This showcase presentation takes a look at how AI helps security teams sort through huge amounts of data and react faster to potential attacks. It also looks at the other side of that reality which is that AI is not perfect and when people trust it too much there can be mistakes that can carry serious consequences. What makes this topic important to me is that cybersecurity is not just about technology but it is about protecting people and systems. By looking at AI’s development and practical uses along with ethical challenges this project argues that AI can be a powerful tool in cybersecurity but only when it is used responsibly and with meaningful human oversight.

Presenter(s): Ciera Gidley

Showcase Advisor: Jennifer Goodall

Abstract: Throughout the past few years, use of artificial intelligence has increased significantly through open-access models like ChatGPT. This has affected the way students learn, work, and adapt to their surroundings on college campuses across the United States. With this in mind, it is important to determine what these affects are, and if they are to the benefit or detriment of learning in higher education settings.

Presenter(s): Rijon Jackson

Showcase Advisor: Abdullah Canbaz

Abstract: This project will be about how Ai can be incorporated in sports

Presenter(s): Joseph Franz

Showcase Advisor: Abdullah Canbaz

Abstract: Artificial intelligence is changing the way sports teams analyze performance and make decisions. This presentation will look at how AI uses large amounts of data to track player performance, predict possible injuries, and help teams develop better game strategies. By analyzing things like player movement, workload, and past performance, AI can find patterns that coaches and analysts might miss. These insights can help teams improve player development, keep athletes healthier, and gain an edge over their opponents. Overall, the presentation will show how AI and data analytics are becoming an important part of the future of sports.

Presenter(s): Joneury Colon Pimentel

Showcase Advisor: Richard Rose

Abstract: This topic of study will bring up the usage of AI/ML in the marketing industry where they train their AI with different criteria to help spread to the right audience for whatever is being marketed, but the issues would be how some AI change some marketing strategies for the worst with bias such as racial bias that connect their product to certain races where it shouldn't have any correlation and unintentional bias from mistakes of the AI trainer and misguide the true intentions behind how a product is marketed. Furthermore, I want to know which of these bias scenarios cause more harm than the others and a way to alter the usage of bias in the marketing industry.

Presenter(s): Gabriella Brathwaite, Gracee Rodgers

Showcase Advisor: Kimberly Cornell

Abstract: Artificial Intelligence is widely known as an extremely useful tool in many areas, such as healthcare, education, and even for questions in daily life. However, many people rely on AI to stay up-to-date on news or for advice without realizing its tendency to output misinformation based on various factors, such as its training to be agreeable to the user, or to generate false information due to its instructions to be helpful as possible. In order to find the root cause of misinformation in AI, it is crucial to examine the gaps within their training, whether it be the quality or quantity of data they are fed, or the requests that are more likely to trigger the output of misinformation. This research aims to understand misinformation in AI and prevent further implications by finding the gaps within their training concepts.

Presenter(s): wendyam Ouedraogo

Showcase Advisor: Jennifer Goodall

Abstract: AI has positive and negative ways to affect students. AI is a learning support that explains difficult concepts as simply as possible.

Presenter(s): Muhammad Kebbeh

Showcase Advisor: Abdullah Canbaz

Abstract: This project explores how Creative AI tools can help in designing original video game characters. Using generative AI, I created a fantasy RPG character named Kael Stormblade, a warrior with lightning-based abilities. ChatGPT was used to generate the character’s concept, abilities, and backstory, while an AI image generator was used to produce visual designs of the character. Multiple prompts were tested and refined to generate different visual styles and character details. The final result demonstrates how AI can support the creative process by quickly generating ideas and visual concepts that game designers can build upon. This project highlights both the creative potential of AI tools and the importance of human guidance in shaping and refining AI-generated content.

Presenter(s): Adizat Bisiriyu

Showcase Advisor: Richard Rose

Abstract: As AI is increasingly used in healthcare diagnostics, I believe it’s important to focus on the concerns that remain about potential racial bias in algorithmic decision-making. The point of this research is to examine whether AI diagnostic systems produce unequal outcomes across varying racial groups due to biased training data. Understanding these disparities, if they do exist, is important for evaluating the impact of algorithmic bias and ensuring an ethical development of medical AI tech.

Presenter(s): Aaditya Ramesh

Showcase Advisor: Rawan Almakinah

Abstract: This project looks at how artificial intelligence can be used to study swimming performance and help swimmers get better. In swimming, things like stroke technique, body position, timing, and consistency all affect how well someone performs. These details can be hard to judge just by watching, even for experienced coaches. Because of this, the project focuses on creating an AI system that can give more objective feedback on a swimmer’s technique.

The system uses video recordings of swimmers and applies computer vision and machine learning to track their movements in the water. It looks at things like stroke patterns, body motion, and timing during each lap. By analyzing this data, the system can point out possible problems, such as inefficient strokes or uneven pacing, and suggest where improvements could be made.

Overall, using we can tell how an athlete can improve it their particular style.

Presenter(s): Victoria Tobes

Showcase Advisor: Jill Cofield

Abstract: In this project I am developing a research framework that will provide conclusions regarding the general attitudes of university students towards law enforcement and the way that it impacts their behavior within society. My research project includes understanding statistics generated from surveying target populations of students from various universities. Through interpreting the responses from students of different majors, ethnicities and backgrounds, conclusions regarding their behavior within a law enforcement context in public can be drawn. The reason why attitudes towards law enforcement is important is because law enforcement is an aspect of national governance.

Presenter(s): Ashwani Pothen

Showcase Advisor: Jennifer Goodall

Abstract: The rapid growth of artificial intelligence is transforming how businesses market their products on social media platforms. Companies increasingly rely on AI to analyze user data, personalize advertisements, and predict consumer behavior. Platforms such as TikTok and Instagram use algorithms to recommend content and advertisements that are tailored to individual users, allowing businesses to reach highly specific audiences. This project explores how AI is used in social media marketing and how it influences consumer engagement and purchasing behavior. It also examines ethical concerns related to data privacy and algorithmic bias. By analyzing current research and industry examples from companies such as Meta Platforms, this presentation highlights both the benefits and potential risks of AI-driven marketing strategies.

Presenter(s): Kaity Hsiu

Showcase Advisor: Donghee Sinn

Abstract: This literature review examines the development of artificial intelligence (AI) in library cataloging and metadata creation. The research question asks whether it is merely a continuation of existing automation trajectories, or it represents a fundamental transformation of the profession’s core expertise and workflows. This study synthesizes peer-reviewed literature published between 2018 and 2026, including empirical studies, theoretical analyses, case studies, and professional guidelines. The findings present a complex picture that cannot be easily categorized into a single framework. The literature shows its implementation continues to operate within established standards frameworks and requires human oversight, in the meanwhile, introducing new capabilities and new modes of information access. It concludes that the current development of AI remains grounded in the profession’s long-standing epistemic commitments. However, it is gradually moving toward what can be described as an “evolutionary paradigm shift”, presenting important implications for professional development, workflow design, and strategic planning in libraries.

Presenter(s): Bryan Liranzo

Showcase Advisor: Jennifer Goodall

Abstract: Artificial intelligence is transforming the way programmers develop software. AI tools can help write code, detect errors, and improve efficiency in the development process. This project explores how AI assists programmers, the benefits it provides, and the potential challenges it creates as technology continues to reshape the future of software development.

Presenter(s): Andrew Duran

Showcase Advisor: Angel Ford

Abstract: As political censorship and book challenges continue to increase across the United States, educators' professional autonomy is increasingly being demoralized, resulting in preemptive self-censorship and the erasing of student identities in public education. Although existing literature documents the effects of censorship on professionals, a gap exists concerning the long-term academic success of students in states with laws concerning book censoring. Based on Foucault's idea of bio-power, this presentation looks to propose a study investigating the link between state-led regulation of library collections and long-term academic success of students.

Presenter(s): Thomas Waters

Showcase Advisor: Dakota Murray

Abstract: This research investigates “prosocial bots” as a community-led content moderation strategy to identify automated accounts simulating human behavior. As top-down platform solutions often fail to align with community needs, these user-driven tools serve as internal actors that empower participants to flag suspicious, potentially inauthentic activity. The methodology utilizes an exploratory pilot study of bot-sleuth-bot on Reddit. Bot-sleuth-bot is an automated prosocial bot that can be “summoned” by Reddit users by including the bot’s name in a comment reply to the perceived suspicious content.

Bot-sleuth-bot then replies to the “summoning” comment, providing details of its investigation on the target user’s profile data. These details include a generated “suspicion quotient” based on the target’s account characteristics such as post frequency, content analysis, account age, and other properties. This research compares targeted content against a randomly sampled control dataset, examining whether these automated accusations correlate with subsequent moderator actions across various subreddit environments.

Presenter(s): Kevin Lindemann

Showcase Advisor: Jill Cofield

Abstract: Advances in machine learning have created new opportunities to analyze complex biomedical data, particularly in medical imaging. Histological analysis is a key method for diagnosing brain tumors such as glioblastoma, the most common and lethal primary malignant brain tumor in adults (Sipos et al, 2025). However, manual examination of cellular images is time-consuming and can be subject to interpretation. Recent research suggests that convolutional neural networks (CNNs) can assist in identifying microscopic patterns that distinguish tumor cells from healthy tissue.  

This study proposes developing a CNN to classify histological images of healthy glial cells and glioblastoma tumor cells using publicly available datasets. Images will be collected, preprocessed, and augmented before model training in Python. The workflow includes partitioning, model training, and evaluation using metrics such as precision, recall, and accuracy. The final poster is intended to present an accessible baseline CNN for other undergraduate researchers to build upon.

Presenter(s): Malcolm Harrington

Showcase Advisor: Angel Ford

Abstract: Societal, financial, and global disparities impact who produce knowledge, whose knowledge is valued, and how research is spread globally which continues to severely limit the production of knowledge in Africa. African scholars continue to encounter enduring obstacles, such as insufficient funding for research, poor infrastructure, limited access to scholarly journals, and demanding teaching loads that limit their time for research, despite universities expanding and enrollment in higher education growing quickly. Global epistemic hierarchies promoting externally set research objectives and devaluing locally grounded research are reinforced by international academic publication systems, which are mostly controlled by institutions in the Global North. African scholarship is underrepresented in prestigious journals and international research networks because of these circumstances.  

My poster will examine the knowledge of production in Africa by highlighting the ways in which institutional capacity limitations, funding reliance, brain drain, and language hurdles influence research results throughout the continent. 

Presenter(s): Jesuloluwa Ebofin

Showcase Advisor: Jennifer Goodall

Abstract: AI tools offer students significant benefits like personalized learning and academic support, their integration also raises important concerns around academic integrity and over-reliance.

Presenter(s): Albert Bondzie

Showcase Advisor: Abdullah Canbaz

Abstract: This is a comparative between human created artwork and Ai created artwork and if  Ai is actually creative, or just remixing existing work?

Presenter(s): Arie Din

Showcase Advisor: Abdullah Canbaz

Abstract: During my commute to school, I notice many buildings under construction. I always wonder what they would look like when they're completed. This project will examine AI's "prediction skills" when it comes to image data. Using different popular AI image generation tools, I will go around the Albany area and take pictures of buildings that are under construction. Then, I will plug the images into different AI tools to see which tool is the best for predicting what the buildings would realistically look like.

Presenter(s): Casey Sheridan-Smith

Showcase Advisor: Brandon Behlendorf

Abstract: This project investigates the use of generative artificial intelligence (AI) to analyze and forecast emerging dessert flavor trends. The study examines whether large language models can identify novel flavor combinations likely to become mainstream in the U.S. by 2027. A structured prompting framework and standardized output format are used to generate predictions across multiple experimental conditions. Three information-access approaches (Cache-Augmented Generation [CAG], Retrieval-Augmented Generation [RAG], and web search) are evaluated using different culinary sources, including modern baking blogs, vintage and international cookbooks. For each condition, the model produces ranked predictions of flavor combinations with likelihood scores and supporting rationale. The project includes repeated model runs and normalization of flavor pairings to enable systematic comparison. The resulting dataset is analyzed to examine prediction frequency, score distributions and cross-variant consistency in order to compare how different retrieval strategies influence AI-generated culinary trend forecasts.

Presenter(s): Anas Elkhiat

Showcase Advisor: Rawan Almakinah

Abstract: Recent developments in artificial intelligence have enabled machines to generate artwork that closely resembles human creativity. AI tools developed by organizations such as OpenAI and Google DeepMind can create images by learning patterns from large datasets of existing art. This project explores whether artificial intelligence can truly be considered creative or if it simply reproduces patterns learned from human artists. 

The study compares human-created artwork with AI-generated images to examine differences in originality, intention, and creative process. By analyzing examples of both types of art and audience perceptions, this research aims to better understand how people define creativity in the age of intelligent machines. The project also discusses ethical questions surrounding authorship and the role of AI as a creative tool in modern society.

Presenter(s): Justin Catalan

Showcase Advisor: Matthew Ruiz

Abstract: Zero-day attacks are difficult to detect in enterprise networks because they exploit unknown vulnerabilities  and often evade signature-based tools. This topic examines wether machine learning can improve detection by identifying abnormal patterns in network traffic, endpoint activity, and authentication logs instead of relying heavily on known threat signatures. It considers approaches such as anomaly detection, supervised learning and hybrid systems, and evaluate their effectiveness based on accuracy, false positives, interpretability, and scalability. The goal is to determine if machine learning can provide earlier and more reliable detection of zero-day threats in real enterprise environments.

Presenter(s): Osereme Ifidon

Showcase Advisor: Abdullah Canbaz

Abstract: Artificial intelligence is rapidly transforming cybersecurity, but it is also giving hackers powerful new tools to bypass modern security systems. This presentation explores how cybercriminals are using AI technologies such as machine learning, deepfakes, automated phishing, and password-cracking algorithms to attack organizations and individuals more efficiently. We examine real-world examples of AI-assisted cyberattacks, including AI-generated phishing emails, voice cloning scams, and automated vulnerability discovery. The presentation also discusses how traditional security defenses struggle against adaptive AI-driven attacks and why cybersecurity professionals must develop new AI-based defense strategies. By analyzing the evolving relationship between AI and cybersecurity, this project highlights the growing “AI arms race” between attackers and defenders. Understanding how AI can be weaponized in cybercrime is critical for developing stronger defenses and preparing future cybersecurity professionals to protect digital systems in an increasingly AI-driven world.

Presenter(s): Chisom Nwike

Showcase Advisor: Angel Ford

Abstract: This study investigates difficulties affecting selected African universities, with a focus on infrastructure and library services. While these schools are well-known and serve as significant centers of higher education in the countries they represent, many face constraints that limit student access to information, learning environments, and academic support services. The analysis explores key issues such as funding limitations, digital access gaps, staffing capacity, space constraints, and the availability of library resources and services. It also considers variations in the number of library branches, access to electronic databases, study facilities, and information support services. By comparing these institutional conditions, this study highlights how economic and policy environments influence the quality and accessibility of education services.

Presenter(s): Rifa Nadila

Showcase Advisor: Jill Cofield

Abstract: Although technological familiarity among children is growing in this digital era, there is still the challenge of using Online Public Access Catalog (OPAC) among children in libraries. Research on real implementation of OPAC has proved that children’s information searching behavior using this tool in libraries is limited. Thus, it is important to identify children’s awareness of the OPAC services, what barries prevent them from using it and what factors that influence its use. A mixed method will be used. Survey will measure children’s awareness, while interview and observation will provide further insight into the barriers and decision-making processes in OPAC use. This study proposal are expected to support the development of OPAC system that encourage children to engage wih library collections.

Presenter(s): Justin Evans

Showcase Advisor: Marietta Carr

Abstract: Though not (typically) overseen by large groups of formal editors and administrators, crowdsourced knowledge repositories like Wikipedia have become hosts to large quantities of articles presenting as factual briefs on myriad topics. Maintaining the quality of these repositories—both in terms of the contents of their articles and the relevance of those articles to the website—poses a unique yet critical challenge: administrators must establish management policies and guidelines, and users must collectively enforce them. This presentation uses the theories and approaches learned in CIST 547: Digital Collections, to analyze and interpret the efforts made to establish crowdsourced knowledge -type websites from the view of a new entrant into the field, the Consumer Rights Wiki (est. 2025). It finds the website has a dedicated base of contributors, policies and guidelines, but faces a challenge in getting that base to remain intrinsically active and also restricted to the actual purpose of the resource.

Presenter(s): Justin Evans

Showcase Advisor: Jill Cofield

Abstract: Though “descriptive metadata” (subject headings, keywords, and tags) are widely accepted as essential for the user discovery of materials in cultural digital collections, research into metadata assignment best practice has been scarce. This lack of research—essential for formal recommendation and standards formation—seems to have translated into high variability in the actual use of tags in digital collections, with deleterious effects for the users of those collections. This project aims to take advantage of the research design education provided in CIST 608: Research Methods, to architect and plan a study into the best ways to apply tags to digital collections items to optimize discoverability without clouding user searches with items irrelevant to their interests. It takes into active consideration not only the ways tags can be assigned to digital collections items, but also the different user groups whose experiences might be affected by different information system design decisions.

Presenter(s): diana Castellanos

Showcase Advisor: sarah Lauser

Abstract: In this poster, I describe a proposed study to research "How does regularly using AI mental health chatbots like Chat GBT affect anxiety and stress levels among college students aged 18–24?", including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. 
This study is important because many college students are beginning to rely on AI chatbots and mental health apps for emotional support instead of traditional counseling. While these tools are convenient, free, and available 24/7, it is still unclear whether they provide the same level of emotional understanding and support as licensed therapists. Mental health issues such as anxiety and stress are very common among college students, especially between the ages of 18–24, so it is important to understand whether AI tools are actually helping students or if they might still leave students with emotional needs.

Presenter(s): Dhanush Muthi

Showcase Advisor: Jill Cofield

Abstract: This study examines the information-seeking behavior of domestic and international graduate students in U.S. universities and explores whether differences exist in how these groups search for and use academic information. Graduate students rely heavily on digital libraries, academic databases, and online resources to conduct research, yet students from different educational and cultural backgrounds may approach these resources differently. The purpose of this research is to identify variations in information sources, search strategies, and challenges faced during academic research. The study will use a quantitative research design through a structured survey distributed to graduate students at U.S. universities. The survey will collect data on database usage, preferred information sources, research strategies, and library services. Statistical analysis will be used to compare responses between domestic and international students. The findings aim to contribute to a better understanding of graduate students’ research practices and help universities improve library services and information literacy support.

Presenter(s): Tanjibul Labib

Showcase Advisor: Abdullah Canbaz & Farma Zehra Tihic

Abstract: Creative Artificial Intelligence (AI) is transforming healthcare management by improving how healthcare organizations analyze data, communicate information, and make decisions. This presentation explores how creative AI tools support predictive modeling, identify patterns in electronic health records, and assist healthcare managers in resource allocation. AI can also enhance patient education, health communication, and telehealth services. These technologies help increase efficiency, reduce administrative workload, and improve patient care. However, the use of AI in healthcare also raises concerns about privacy, data security, ethical decision-making, and algorithmic bias. Understanding both the benefits and challenges of creative AI is important for healthcare managers as AI continues to shape the future of healthcare delivery.

Presenter(s): Tavares Young Jr

Showcase Advisor: Abdullah Canbaz

Abstract: This research explores whether artificial intelligence can be used as a reliable tool for building consistent narratives without producing hallucinations, forgotten details, or invented information that disrupts established world lore. As AI-assisted writing tools become more common in creative and media production, maintaining continuity within complex fictional worlds presents a significant challenge. The study examines how AI generates narrative content, the frequency and types of inconsistencies that occur, and the strategies that can help maintain coherence across a story. By analyzing AI-generated narrative outputs and human intervention methods, this research evaluates whether AI can support long-form storytelling while preserving narrative continuity and internal logic.

Presenter(s): Sai Tanuja Nellivada

Showcase Advisor: Angel Ford

Abstract: The increasing availability of digital data has significantly influenced how organizations make decisions and manage workplace performance. Many companies now rely on data analytics tools, dashboards, and information systems to support decision-making processes and improve efficiency. This literature review examines existing research on the relationship between data-driven decision-making and workplace performance. The review focuses on three main areas: the role of data analytics in improving organizational performance, the influence of data on employee decision behavior, and the challenges organizations face when implementing data-driven practices. Previous studies suggest that organizations that actively use data analytics tend to achieve better productivity and more informed decision outcomes.

Presenter(s): Brett Jones

Showcase Advisor: Richard Rose

Abstract: This presentation is about how our community doing everything we can to protect ourselves against cyber attacks and the leaks of people's personal information. It's pother purpose is to help show the cause and effect of what causes these attacks.

Presenter(s): Sravan Pusuluri

Showcase Advisor: Norman Gervais

Abstract: This project focuses on developing a Personalized User Recommendation System using collaborative filtering techniques applied to structured user–item interaction data. The objective is to design an end-to-end system that generates relevant recommendations based on historical user behavior. Data is extracted from relational databases using SQL and undergoes preprocessing, including cleaning, validation, and transformation into a user–item matrix. Exploratory analysis is conducted to understand user activity patterns, item popularity, and data sparsity. 

The modeling phase involves implementing collaborative filtering approaches and comparing similarity metrics such as cosine similarity and Pearson correlation. Model performance is evaluated using rating prediction metrics and ranking-based measures to assess recommendation quality. The project also considers real-world challenges such as sparse data and cold-start scenarios. Emphasis is placed on reproducibility, structured documentation, and systematic evaluation to reflect practical machine learning workflows in an industry setting.

Presenter(s): Lexandra Carames

Showcase Advisor: Frank Peris

Abstract: This paper explores how gender inclusivity can shape user experience (UX) design in video games and improve accessibility and engagement for diverse players. Although the gaming industry continues to grow, development teams have historically lacked gender diversity, which can influence design decisions and player experiences. This research examines how inclusive UX practices, such as flexible character customization systems, thoughtful interface design, and accessibility features, can support players with different gender identities. By reviewing current research and examples from the video game industry, this paper analyzes how gender inclusive design choices influence representation, player immersion, and overall user experience. It also considers how increasing diversity within development teams may encourage more inclusive design practices and help create games that better reflect the wide range of people who play them.

Presenter(s): Vasanth Karthik

Showcase Advisor: Norman Gervais

Abstract: Modern data-driven systems require reliable methods for exchanging structured information across multiple applications and services. This internship project focused on designing a standardized JSON schema validation framework to improve data consistency and integrity within a distributed information environment. The work involved defining reusable JSON schema structures, validating data contracts, and implementing an automated validation pipeline using GitHub Actions. PostgreSQL database schemas were analyzed to understand underlying data structures and support alignment between database tables and JSON specifications used for data exchange. Example datasets were created to test schema compliance and ensure consistent data formats across systems. By integrating schema validation with version control and continuous integration workflows in GitHub, the project demonstrates how automated validation can improve data quality, reduce integration errors, and support scalable data management practices in modern information systems.

Presenter(s): Sandra Uzuh

Showcase Advisor: Marietta Carr

Abstract: This project evaluates publicly accessible datasets from UNICEF that document global indicators related to children's health and education. Using the Digital Curation Centre (DCC) Curation Lifecycle Model as a framework, the project examines how these datasets are created, managed, described, preserved, and made accessible to users. The analysis focuses on key lifecycle stages including data creation and ingest, selection and appraisal practices, metadata quality, preservation considerations, and user access. UNICEF’s open data platform provides valuable resources for researchers, policymakers, and international organizations seeking evidence based insights on child wellbeing. This evaluation highlights strengths in accessibility and data transparency while also identifying opportunities to strengthen metadata consistency, preservation transparency, and long-term stewardship. The project demonstrates how digital curation frameworks can support the sustainable management and reuse of global development data collections.

Presenter(s): Ragini Rani

Showcase Advisor: Donghee Sinn

Abstract: Mobile apps are increasingly used within the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) to help participants manage benefits, identify eligible foods, and access program services. However, research examining the design, information architecture, and user experience of these applications remains limited. This scoping review maps recent literature on mobile WIC applications and their role in facilitating participant interaction with the program. Following PRISMA-ScR guidelines, searches were conducted in PubMed, Scopus, IEEE Xplore, and Google Scholar for studies published between 2020- 2025. Search terms combined concepts related to WIC mobile applications and digital design, including usability, user experience, and information architecture. The included studies examined several WIC mobile platforms, with WICShopper being the most frequently studied. Core features included benefit balance tracking, barcode scanning for food eligibility, and store locator tools. Overall, mobile WIC apps appear to improve benefit redemption and participant engagement, though usability challenges remain.

Presenter(s): Arthur Benware

Showcase Advisor: Jill Cofield

Abstract: My study will compare surveys of developers of data mining algorithms for retail websites and users of the websites that implement them to determine if personal information is truly protected. The main hypothesis is that there will be a significant difference between conceptions of adequate personal privacy protection between developers and the people who use the site. Previous research shows us that developers of these algorithms are more concerned with data accuracy and legal compliance, while the more risk to user's data (processing, use, sale to a third party) the less they tend to give. The information they give is also therefore less likely to be accurate, which makes algorithms less effective in their purpose. Therefore, this study will compare the goals and conceptions of personal privacy for each, and suggest a framework for future symbiotic algorithm development.

Presenter(s): Noe Perez

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research whether older adults accurately comprehend medication instructions, side effects, and interactions as presented in patient portals versus what they actually believe about their medications. This study includes a review of existing work on health informatics and patient portal usability among older adult populations. As federal regulations increasingly require electronic access to health records and as healthcare moves further online, patient portals have become a primary tool for medication management, yet older adults remain one of the most underserved user groups. Many older adults take multiple medications daily, making accurate comprehension critical to avoiding errors. Proposed methods include surveys and guided portal observation sessions. Discussion addresses limitations such as technology access and health literacy, as well as ethical considerations around vulnerable populations. The findings will aim to inform better design practices that make medication information clearer and safer for older adults.

Presenter(s): Diego Lasso

Showcase Advisor: Rawan Almakinah

Abstract: The rapid integration of artificial intelligence (AI) into financial markets has transformed trading practices, enabling faster decision-making, enhanced predictive capabilities, and large-scale data analysis. This research investigates whether AI-driven trading contributes to wealth inequality. It examines how advanced technologies, data access, and capital requirements may give institutional investors a competitive advantage over retail traders. Key factors such as market speed advantages, information imbalances, and profits concentrated in technological firms are analyzed to determine unequal outcomes. Although AI may improve market performance and efficiency, it can concentrate financial gains within those whom have access to better resources, which may open up more existing economic disparities without regulation and equality.

Presenter(s): Jaden Desmornes

Showcase Advisor: Richard Rose

Abstract: Phishing attacks are one of the most common methods used by cybercriminals to gain access to personal accounts and sensitive information. Unlike many cyber threats, phishing attacks often rely on manipulating human behavior rather than exploiting technical vulnerabilities. Because of this, many organizations and institutions have introduced cybersecurity awareness training programs to help users recognize and avoid phishing attempts. However, it is not always clear whether these programs actually change user behavior. This study examines whether cybersecurity awareness training reduces phishing susceptibility among college students. Specifically, it explores whether students who receive training are less likely to click on phishing emails compared to those who have not received training. Understanding the effectiveness of awareness training can help improve cybersecurity education and reduce the risk of successful phishing attacks in academic and professional environments.

Presenter(s): Avery Rider

Showcase Advisor: Jennifer Goodall

Abstract: Social media plays a central role in the daily lives of college students, shaping how they communicate, form relationships, and understand themselves. While these platforms offer opportunities for connection, academic support, and community-building, they also contribute to rising levels of anxiety, stress, and social comparison. Constant exposure to curated images and peer achievements can intensify feelings of inadequacy, while the pressure to remain continuously connected disrupts sleep, concentration, and overall well‑being. These effects are especially significant during the college years, a period marked by identity development and heightened academic and social expectations. I chose this topic for my presentation because understanding the psychological impact of social media is essential for students, educators, and institutions seeking to promote healthier digital habits. By examining both the benefits and challenges, this presentation aims to encourage more intentional, balanced use of social media among college students.

Presenter(s): Dhanush Muthi

Showcase Advisor: Carol Anne Germain

Abstract: This poster presents the work completed during my internship at Saayam For All, a 501(c)(3) non-profit organization that develops open-source technology platforms to support community assistance and social impact initiatives. During my internship, I worked with operational datasets to support data quality and reporting reliability. My responsibilities included analyzing operational datasets using SQL and Python to identify data anomalies, detect patterns, and assist in troubleshooting reporting and system data issues. This work helped ensure that the data used for organizational operations and decision-making remained accurate and reliable. Through this experience, I gained practical exposure to working with real-world datasets, understanding data quality challenges, and applying analytical tools to investigate inconsistencies in system data. The internship also provided experience collaborating with a distributed team of volunteers working on technology solutions. Overall, this experience highlights how data analysis can support the reliability and effectiveness of digital systems used by non-profit organizations.

Presenter(s): Prakhar Giri

Showcase Advisor: Rawan Almakinah

Abstract: Autonomous vehicles rely on AI to make roads safer, but tough ethical questions arise in emergencies when a crash cannot be avoided. This poster explores both the technical and ethical sides of these decisions. On the technical side, it examines how the data used for training and the way the AI is programmed directly shape what the vehicle chooses to do in a split second. Special focus is placed on high-risk moments, such as a pedestrian suddenly crossing or multiple cars colliding. The study looks at simple ethical principles like saving the greatest number of lives, sticking to clear safety rules, and creating responsible systems. It also reviews how the classic “who to save” dilemma is built into today’s autonomous vehicle software. Using real case examples and simulation tests, the research shows the need for better data choices, clear explanations, and designs that put people first.

Presenter(s): Sarah Griffin, Janyse Moore, Kaitlyn Deodat, Nasiraldin Mumin, Alexander Todorov-Rubert

Showcase Advisor: Jonathan Crispino

Abstract: Today, both cloud computing and artificial intelligence are widely used technologies that are a part of everyday life. At the same time, climate change is a major issue with its consequences not yet realized. With this looming threat, these two new technologies could exacerbate the effects warming temperatures have on the world with their resource requirements. However, by doing more research, researchers can develop ways to lessen the resources it takes to power cloud systems and more advanced AI. This project serves two purposes. The first is to be a literature review on how exactly cloud data centers are a major ecological burden to society. Secondly, it aims to show potential new solutions that could help companies in the AI industry become more sustainable in their methods and reduce their brutal impact on the environment. By developing these solutions, less resources will hopefully be consumed now and in the future.

Presenter(s): Sang Jun Kim

Showcase Advisor: Kimberly Cornell

Abstract: Modern online games increasingly rely on kernel-level anti-cheat systems to detect and prevent sophisticated cheating techniques that run below traditional operating systems. These anti-cheats often utilize kernel drivers, cryptographic validation, and integrity verification mechanisms to guarantee that system memory and game processes remain unaltered. However, kernel-level operations introduce significant security and privacy challenges given their privilege escalation. This research analyzes cryptographic mechanisms embedded within kernel-level anti-cheat drivers by examining source code and runtime behavior within a controlled environment. Using a Windows 11 virtual machine and driver development tools, this study identifies key cryptographic functions and evaluates system-level changes after the driver is executed. Additionally, this research highlights how users may accept software agreements without recognizing that kernel-level anti-cheat drives obtain full system access, raising concerns surrounding privacy, transparency, and user trust. These findings provide insight into how cryptographic trust mechanisms support system integrity while introducing potential security trade-offs.

Presenter(s): William King

Showcase Advisor: Jill Cofield

Abstract: The Association for Recorded Sound Collections' "Guide to Audio Preservation", published in 2015, promotes several best practices for storing, digitizing, and providing access to archived sound recordings. The guide recognizes that every institution will develop different strategies to suit their individual missions, and that many factors influence the success of preservation efforts. This study seeks to identify which factors have the most positive impact on audio preservation efforts, broadly sorted by mission.

Presenter(s): JASH JIVANI

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research how the use of computer vision–based artificial intelligence systems affects the accuracy and consistency of diamond and gemstone grading compared to human expert evaluation, including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. This study is important because gemstone grading plays a major role in determining the value and quality of diamonds and other gemstones. However, grading performed by human experts can sometimes vary between evaluators, which may lead to inconsistent results. Artificial intelligence systems that use computer vision have the potential to provide more consistent and objective evaluations. Understanding how these systems compare with trained human gemologists can help improve reliability in gemstone grading and support the development of more accurate automated tools in the jewelry and gemology industry.

Presenter(s): Zico Abhi Dey

Showcase Advisor: Donghee Sinn

Abstract: As the volume of documents required to be classified and declassified grows exponentially each year, government agencies are facing overwhelming pressure, and manual classification or declassification is no longer feasible.  Therefore, there is an urgent requirement for automated systems capable of accurately classifying documents and redacting sensitive information. This study evaluates the performance of state-of-the-art open-source Large Language Models (LLMs) to determine whether they are capable of handling this challenge.

Presenter(s): Anaya Bailey, Andrew Fagergren, Anthony Cabrera, Connor Synan, David Rutkowski, Grace Laski, Gwenyth DeMass, Iliana Allen, Jaiden Stith, Julian Hernandez, Justin De Paula, Kaitlyn Edwards, Kaitlyn Jones, Lane Sutton, Marcus Treece, Marina Varghese, Mena Ryan, Ramon Rivera, Robert Foote, Ryan Iocca, Stephen Angmor

Showcase Advisor: Michael Leczinsky

Abstract: Students will discuss their final project for the CGDD 213: Interactive Narrative In Games course.

Presenter(s): Sam Hautzig

Showcase Advisor: Michael Leczinsky

Abstract: (Final Project) Within this class, we have been asked to observe, study, and create games driven by their narratives. After a full semester, this project is the final result: a culmination of every developed skill, made with softwares and techniques obtained over several weeks, all to deliver an enjoyable experience based in a narrative of my own design.

Presenter(s): Isaiah Russell

Showcase Advisor: Jennifer Goodall

Abstract: First-generation students, defined as individuals whose parents did not complete a four-year college degree, frequently navigate the college environment without the guidance or familiarity that many of their peers receive from family members. As a result, these students may experience increased stress related to academic expectations, financial pressures, and social adjustment

Presenter(s): Kaylan Chase, Hemanth Paila, Rijon Jackson, Princess Ahunamba, Dacir Franco

Showcase Advisor: Kimberly Cornell

Abstract: The project aims to develop a web-based platform that uses AI to generate personalized outfit recommendations and provide a virtual try-on ability. The system will use machine learning algorithms to analyze user-uploaded images and use user preferences in order to suggest appropriate clothing combinations from retailers.There have been numerous instances when my peers and I have struggled trying to decide what to wear because we lack the best clothing pieces. We want to solve this problem with our product. Online shopping has taken over, especially among young adults. A lot of these products purchased online are returned due to poor fit or because it didn’t meet expectations. We want to reduce this and give people outfits that they can be confident about when purchasing.

Presenter(s): Thalia Pierre

Showcase Advisor: Jennifer Goodall

Abstract: First-generation college students have unique challenges that affect their success in college. The paper discusses the challenges faced by first-generation college students, namely lack of knowledge about college, lack of access to support services, and financial challenges. They are not sure how to select courses, how to interact with professors, and how to access internship and academic support services. The lack of information about college may cause first-generation college students to feel confused and lack confidence in college. Despite the challenges facing first-generation college students, they have benefited from mentorship programs and academic support services. Therefore, understanding the challenges facing first-generation college students is crucial in providing better support systems to help them succeed in college.

Presenter(s): Bryan Herman

Showcase Advisor: Kathleen Flynn

Abstract: This project examines the Five-Year Plan as a concept and explore the changes and modifications that the concept has undergone while evolving from a staple of the Stalinist command economy at the end of the 1920s, to a business fiscal policy, and to a means of structuring fiscal and developmental plans for information agencies, like libraries.  Although Capitalism and Communism had deeply opposing economic and political systems, they were often not against to borrowing some approaches that did not conflict with their respective ideologies.  This can be seen in the communist adoption of Taylorist theories of scientific management as well as capitalist curiosity with the potential of Five-Year Plans.  While situating the Five-Year Plan in these much larger contexts, it will also conclude with the implications of these larger developments for information agencies in particular and examine what lessons can be gleaned from the advantages and pitfalls of Five-Year Plans.

Presenter(s): Serge Diao

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research how pregnant single mothers find food through government aid and personal networks, including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. This research matters because many single moms go hungry. Pregnancy needs good food for a healthy baby. Often, government help, such as WIC or SNAP, is not enough to last a full month. These moms then turn to local churches, neighbors, or even skip their own meals to feed their kids. My study shows how these women survive when money runs out. Understanding these struggles helps fix the welfare system. Better food for moms leads to healthier babies and fewer doctor visits later. This project gives a clear look at how these families get by every day.

Presenter(s): Pete Arigela

Showcase Advisor: Rawan Almakinah

Abstract: As powerful "frontier" AI models become widely available and often free to use, they also make it easy to generate convincing deepfakes and synthetic media. This project examines how everyday reliance on AI assistants and content generators reshapes our sense of what is real, and what happens to public trust when audio, images, and video can no longer be verified by eye. Drawing on public warnings from leading AI researchers about losing control over advanced systems, I focus on how deepfakes, personalized feeds, and always‑on AI tools can be used to steer attention, beliefs, and behavior. The presentation invites attendees to consider who benefits from "free" frontier AI, what we may actually be paying with instead of money, and how students and citizens can navigate a future where ground truth itself is contested.

Presenter(s): Fatimata Toure

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence (AI) algorithms increasingly shape the way people receive information, form opinions, and interact with digital content. Platforms such as Tik tok Youtube and instagram rely on recommendation algorithms to personalize content for users based on their behavior, preferences, and engagement patterns. While these systems are designed to improve user experience and increase engagement, they also influence what information people are exposed to and how ideas spread across society. AI-driven recommendation systems can reinforce existing beliefs by repeatedly showing similar content, creating what researchers describe as “filter bubbles” or “echo chambers.” This poster examines how algorithmic personalization affects perception, opinion formation, and information consumption. It also highlights both the benefits and risks of AI-curated content, Understanding the role of AI algorithms in shaping digital experiences is essential as these technologies continue to influence public discourse, creativity, and knowledge sharing in the modern information ecosystem.

Presenter(s): Giuseppe Nicastri

Showcase Advisor: Xiaoyi Yerden

Abstract: As a programming intern at Games for Love, I have gained valuable experience working on real game development projects while collaborating with a team of developers. In my role, I contribute to programming tasks while also serving as an assistant producer and leader of the programming team. This position has allowed me to help organize development tasks, communicate with team members, and ensure progress on different parts of the project. Through this internship, I have developed stronger skills in teamwork, problem solving, and project management while working in a remote development environment. Leading the programming team has also helped me learn how to support other developers and coordinate technical work effectively. Overall, this experience has helped me grow both as a programmer and as a leader in game development.

Presenter(s): Princess Ahunamba

Showcase Advisor: Abdullah Canbaz

Abstract: Pop cultural references in HipHop and Rap music are typically derived from shared experiences within African American communities. Due to the literary nature of HipHop and Rap lyrics, such as the use of metaphors, hyperboles, and other literary devices, those references are hidden or misunderstood to individuals that are not familiar with the specific reference. Chatbots such as ChatGPT, Gemini AI, and Claude AI are LLM applications that can analyze and portray human-like text. With user accounts available, these chatbots can also retain information from the account user to better tailor their responses. To gauge the accuracy limits of LLMs to understand and interpret African American pop culture references in Hip Hop and Rap lyrics, we challenge the ability of OpenAI’s ChatGPT and Google’s Gemini AI to accurately interpret HipHop and Rap lyrics after continuously training the chatbot to “remember” specific African American pop culture references as a user.

Presenter(s): Olivia BenAoumeur

Showcase Advisor: Kimberly Cornell

Abstract: Recent refugee crises have created vulnerable populations facing heightened stress and cognitive overload, making them attractive targets for cyber adversaries. While previous literature examines cyberattacks on humanitarian aid organizations serving refugees, direct attacks on refugee individuals remain under-explored. This study addresses this gap by analyzing the extent and nature of cyberattacks targeting refugee populations. Using fused open-source and geospatial datasets on refugee movements and cyberattack locations, we investigate whether regions with high refugee concentrations associate with increased ransomware, infrastructure, or social engineering attacks. Our findings aim to inform the development of a mitigation framework for better protecting this vulnerable population from cyber threats.

Presenter(s): Jason Scott

Showcase Advisor: Michael Leczinsky

Abstract: Showing a game that I made using the Godot game engine, which I have learned for my independent research

Presenter(s): Clancey Staldine

Showcase Advisor: Jill Cofield

Abstract: Museum collections are often stored in environments rarely seen by the public, but frequently accessed by the staff responsible for their care. While preservation efforts prioritize protecting objects, there is an occupational health risk associated with these environments. This research examines biological hazards present in museum storage spaces, including exposure to mold, bacteria, and endotoxins documented in collection environments. A recent study  has identified xerophilic molds that are capable of thriving in the dry, climate controlled conditions designed to preserve artifacts. Drawing on this study and other existing literature, my research explores how museum professionals experience, perceive, and manage health risks associated with work in collection storage environments.

Presenter(s): Symone Griffin

Showcase Advisor: Richard Rose

Abstract: It is no secret that the internet is not perfect. It is widely accepted that biases have and prejudices have made their way into algorithms because they implemented by those who wrote them. Understanding this concept is vital to understanding how metadata is classified and stored and how this affects searchability and none the less erasure. Which brings in my questions, how does metadata fields affects searchability and Black erasure in digital archives and what other challenges arise when information is misclassified and or can’t be found? Along with, to what extent do search engine ranking systems influence the visibility of Black historical content compared to general historical content?

Presenter(s): Gashley Lafleur

Showcase Advisor: Rawan Almakinah

Abstract: Artificial Intelligence is the simulation of human intelligence in machines that can perform task such as learning, reasoning, and problem-solving. Social media are media technologies that facilitate the creation, sharing, and aggregation of content. Therefore, the relationship between the two can be beneficial but can also raise concerns. AI is revolutionizing social media by personalizing content and recommending post that match user’s interests. It also helps platform detect spam, filter harmful content, improve the overall user experiences, and optimizing marketing strategies. However, AI on social media can spread misinformation and create echo chambers by showing user content that matches their belief and get the most engagement. It can also encourage excessive screen time and raise privacy concerns because AI collect and analyze large amounts of user data

Presenter(s): Toma Hayashi

Showcase Advisor: Rawan Almakinah

Abstract: I chose this topic because AI has developed rapidly in recent years, and even ordinary people can now use highly advanced AI systems. However, this progress also has negative aspects. With AI, even people without specialized knowledge may be able to misuse it for cyberattacks. If AI makes it possible for anyone to conduct server attacks or other cyberattacks easily, it could become a serious threat to society. Therefore, I chose this topic to deepen my understanding of how AI is involved in both cyberattacks and cybersecurity defenses.

Presenter(s): kaylee ossorio

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence has become deeply integrated into digital platforms, shaping how people interact with online content. One important concern is how AI systems can influence and manipulate human emotions. By collecting and analyzing large amounts of user data such as browsing history, social media activity, and online behavior AI algorithms can identify patterns in emotional responses. These systems then use this information to personalize content, advertisements, and recommendations that are more likely to trigger specific feelings such as happiness, fear, or anger. For example, social media platforms often prioritize emotionally engaging posts because they increase user interaction and time spent online. While this technology can improve user experience and provide relevant content, it also raises ethical concerns about privacy, psychological influence, and the potential for manipulation. Understanding how AI can affect emotions is important for promoting digital awareness and encouraging responsible development and use of artificial intelligence in modern society.

Presenter(s): Sasha Sasane

Showcase Advisor: Abdullah Canbaz

Abstract: Artificial intelligence is becoming a bigger part of how movies are made today, and it is changing many parts of the filmmaking process. AI can help in the early stages of production by analyzing movie scripts and predicting how audiences might react to them, which helps studios decide which films to produce. AI is also widely used in visual effects to create realistic environments and characters. For example, movies like The Irishman used advanced technology to make actors appear younger, while large action films like Avengers: Endgame relied heavily on AI-assisted visual effects to create complex battle scenes and digital characters. AI tools also help editors organize footage, adjust color, and improve sound using software such as Adobe Premiere Pro. Overall, AI is making filmmaking faster, more efficient, and opening up new creative possibilities for the future of movies.

Presenter(s): Matthew Rodriguez

Showcase Advisor: Abdullah Canbaz

Abstract: Artificial intelligence is becoming more common in the business world especially in marketing and creative work. This project will look at how businesses use creative AI to make advertisements, marketing ideas, and images. Many companies are starting to use AI tools to create content faster and reach more customers online. AI can help businesses save time and money while also helping them come up with new ideas. In this presentation I will explore how creative AI is used in marketing and branding and why businesses are starting to rely on it more. I will also look at whether AI is replacing human creativity or simply helping people work more efficiently.This project will show how creative AI is changing the way businesses create and share content with their audience

Presenter(s): Justin Whittle

Showcase Advisor: Michael Leczinsky & Abdullah Canbaz

Abstract: As a game designer, making artwork or any set of assets takes a lot of time, especially if you're like me doing everything by yourself. Since I don't have a team or group of artists, so I need to figure out a way to mass produce sprites, music, level design, code, or give me ideas for these things.

Presenter(s): Ramon Rivera

Showcase Advisor: Abdullah Canbaz

Abstract: Artificial Intelligence (AI) can be used to change people’s voices by analyzing and recreating a person's vocal patterns through advanced machine learning models. Voice-changing AI systems are being trained on a large dataset by using human speech, which allows them to understand the tone, pitch, rhythm, and pronunciation. Once the systems are trained, these systems can modify a person's voice in real time or use a recorded audio. For example, AI can be used to transform a voice to make it sound deeper, higher, older, or younger, or it can even change the whole person's voice and accent. The AI systems technology is commonly used in video games, entertainment, content creation, and accessibility tools. Voice actors and streamers/content creators use AI voice changers so that they can portray multiple different characters, while individuals who want privacy online and can disguise their voice.

Presenter(s): Kelechi Ozuzu

Showcase Advisor: Abdullah Canbaz

Abstract: AI is changing the animation industry. This project explores how AI becomes successfully integrated into the animation pipeline while supporting human creativity. The presentation will examine how AI tools assist with tasks such as generating concept art, automating in-between frames, improving motion capture, and accelerating rendering processes. By reducing the time spent on repetitive technical work, AI allows animators to focus more on storytelling, character development, and artistic direction. The project will consider the challenges that come with AI in animation, including concerns about job replacements, originality, and ethical use of training data. Through examples from current AI-assisted tools and practices, the presentation will analyze whether AI should replace animators as a collaborative tool that enhances human creativity.  Ultimately, this project argues that AI will succeed in animation, but not by replacing artists. However,  by acting as a supportive tool that improves efficiency and expands creative possibilities within the field.

Presenter(s): Megha Das

Showcase Advisor: Rawan Almakinah

Abstract: Advancements in artificial intelligence have enabled the creation of highly realistic synthetic media known as deepfakes. These manipulated videos, images, and audio recordings can imitate real individuals with a high level of accuracy, making them increasingly difficult to detect. While deepfake technology has legitimate uses in entertainment and digital media, it also presents significant cybersecurity risks. In corporate and government environments, deepfakes can be used for impersonation, misinformation, and social engineering attacks that may lead to financial loss or exposure of sensitive information. As digital communication and biometric authentication become more common, deepfake technology is creating new challenges for cybersecurity when it is used maliciously. This research examines how deepfakes threaten corporate and government systems and evaluates the risks they present to modern security infrastructures.

Presenter(s): Bhavana Sri Bogani

Showcase Advisor: Jill Cofield

Abstract: This research examines how digital library platforms such as Libby and Hoopla influence reading behaviors and user engagement. While public libraries increasingly provide access to digital books and audiobooks, less attention has been given to how the design and structure of these platforms shape the reading experience. This study explores how features such as loan periods, interface design, and audiobook playback options affect how patrons interact with digital materials. It also considers how platform restrictions and licensing models may influence reading preferences and access to content. By focusing on the user experience of digital reading, this research highlights the evolving role of libraries in supporting digital literacy and engagement and offers insights for improving digital library services

Presenter(s): Jimmy Huh

Showcase Advisor: Richard Rose

Abstract: A proposal on how AI chatbots can be used in doctor's offices to help patients communicate

Presenter(s): Vamshi Enugula

Showcase Advisor: Jill Cofield

Abstract: This study examines the level of technical knowledge and awareness among Android mobile users regarding application permissions requested after installing new apps. Many mobile applications request access to sensitive device features such as location, contacts, storage, camera, and microphone. The study focuses on how users interpret these permission requests and whether they understand their purpose and potential privacy implications. It also explores how users respond to permission prompts and whether they review permissions before granting access. In addition, the research considers how factors such as users’ technical background, smartphone usage experience, and familiarity with mobile technology influence their understanding of Android permission systems and their interaction with permission requests during the installation and use of mobile applications.

Presenter(s): Tinashe Chinamasa

Showcase Advisor: Angel Ford

Abstract: This research examines differences in digital library capacity between universities in high-income countries and selected universities in the low-income countries. The study compares electronic resources available through university library systems, including e-books, journal databases, institutional repositories, research support services etc. The purpose of this research is to analyze how variations in digital infrastructure and resource availability may influence research accessibility and knowledge production across regions. By highlighting gaps in digital access between high- and low-income settings, this research aims to support policy discussions on fair investment in scholarly infrastructure. It also proposes practical strategies to strengthen digital library capacity in under-resourced universities and encourage collaboration between universities to share resources and knowledge.

Presenter(s): Matthew DeSerio

Showcase Advisor: Rawan Almakinah; Richard Rose

Abstract: Artificial intelligence is all around us so that means a lot of new technology is being made like deep fakes. They copy peoples facial features and voice sounds to try to look like you for one main reason to try and scam other places that use that technology. All they want is money and they have the tools to do it. With the movie industry they could just create a fake version of some actor instead of getting in contact with them but is that a right thing to do.

Presenter(s): Alexander Baldwin

Showcase Advisor: Richard Rose

Abstract: My presentation looks at how artificial intelligence can be used to detect spoofing attacks in facial recognition systems. Spoofing happens when someone tries to trick the system using things like photos, videos, or fake faces. The research focuses on how effective AI is at recognizing these fake attempts and helping improve security. Understanding this can help make facial recognition systems safer and harder to trick.

Presenter(s): Giuseppe Nicastri, Garvani Compere, Wade Mattingly, Daniel Alabi, Isabella Maccera

Showcase Advisor: Jonathan Crispino

Abstract: For our final research project, we will examine how emergency deepfake voice scams target elderly people. In many cases, someone receives a call from a voice they recognize asking for money due to a family emergency or other urgent situation.

Rather than only explaining how AI voice cloning works, we want to show how realistic these deepfake voices can sound. We will test several AI voice model programs and compare a deepfake voice reading a script to the same script read by a real person.

We will also research past scam cases and conduct experiments with elderly individuals to see if they can tell the difference between real and AI-generated voices.

Presenter(s): Joseph Abraham

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research whether the disappearing nature of content on apps like Snapchat and Instagram makes college students more likely to share sensitive information compared to permanent posts, including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. This study is important because social media design is changing our behavior without us realizing it. By looking at "perceived ephemerality," we can see if timers make us more honest or just more impulsive. Since students use these features daily, understanding the link between "vanishing" architecture and self-control is vital for staying safe online. This research could help designers create more ethical platforms and help students understand why they feel bolder behind a disappearing screen.

Presenter(s): jason Andujar

Showcase Advisor: sarah lauser

Abstract: In this poster, I describe a proposed a study to research the question: “How does a game developer log and collect data from game surveys and interpret it to make game updates based on that data?” The project will include a review of existing literature on playtesting, player feedback systems, and data driven development, followed by proposed methods for analyzing how developers gather and interpret survey responses. The study will also outline planned analytical approaches and discuss anticipated limitations and ethical considerations related to data collection and participant feedback. This research is important because player feedback is central to modern game development, yet the processes behind collecting and interpreting survey data are often unclear or inconsistent. Understanding how developers transform raw player responses into actionable design decisions can help improve testing practices, support more transparent update cycles, and strengthen communication between developers and players.

Presenter(s): Sandra Uzuh

Showcase Advisor: Alexandra Gibson

Abstract: This presentation examines how the design of search interfaces affects how people search for information. Using an academic database as an example, the project explores features such as search boxes, filters, and result displays. The analysis shows how these features influence how users create queries, refine searches, and judge the relevance of results. The goal of the project is to better understand how search tools guide user behavior. The findings highlight the importance of designing search systems that are clear, accessible, and supportive of effective information seeking.

Presenter(s): Dhruv Sharma

Showcase Advisor: Jennifer Goodall

Abstract: This presentation examines how social media algorithms contribute to the spread of misinformation and fake news in today’s digital environment. Social media nowadays rely on engagement-based algorithms. Social media recommends posts that get likes, comments, and reposts. While this may be good, misinformation and fake news spread at a rapid pace due to this. Posts that have a ton of emotion, drama, and controversy cause more attraction to users and tend to do better than other posts. This research looks at how these algorithms influence the type of content people see and how that can shape public opinion. This presentation will include statistics, research findings, and misinformation/satire content that has gone viral. This research will also present possible solutions to this issue, such as fact-checking systems and improvement of digital literacy. 

Presenter(s): Sandra Uzuh

Showcase Advisor: Rawan Almakinah

Abstract: This project presents an interactive Python program called the HR Technology Readiness Quiz. The program evaluates a user’s basic knowledge of human resource technology concepts such as HRIS systems, data privacy, onboarding, and workplace collaboration tools. The user enters their name and answers five multiple choice questions. The program processes the responses using conditional statements, calculates a final score, and provides feedback based on the user’s performance. This project demonstrates how Python can be used to build simple interactive tools that collect user input, evaluate responses, and display results. The quiz also highlights how programming concepts such as variables, user input, and conditional statements can be applied to real world topics in human resources and information technology.

Presenter(s): Asfand Ali Khan

Showcase Advisor: Mac-Arthur Louis

Abstract: Artificial intelligence (AI) is increasingly integrated into healthcare decision-support systems, including operational areas such as hospital supply-chain management. Building on the broader ResilientAI framework, which explores AI-supported resilience in critical supply networks, this study focuses specifically on hospital-based decision environments where hybrid human–AI decision-support systems assist operational decision-makers. While such systems promise improved efficiency and predictive capability, their adoption raises important questions regarding trust, perceived fairness, and ethical AI considerations among the professionals who rely on them. These concerns become particularly significant during crisis situations, such as flood-related disruptions, when hospitals must allocate limited resources under conditions of uncertainty and time pressure. Drawing on interdisciplinary literature from healthcare AI, human-computer interaction, and AI ethics, this research examines how hospital supply-chain decision-makers interpret trust and fairness in hybrid human–AI decision-making systems, contributing to ongoing discussions about responsible and ethical AI deployment in healthcare operational contexts.

Presenter(s): Ismet Selcuk Ozer

Showcase Advisor: Donghee Sinn

Abstract: The increasing adoption of artificial intelligence (AI) systems within organizations is transforming how employees perform tasks, make decisions, and collaborate. This study explores human–AI interactions in organizational contexts, focusing on how individuals integrate AI tools into their daily workflows and how these interactions influence decision-making, productivity, and organizational outcomes. As AI systems become more capable and autonomous, understanding the dynamics between human judgment and algorithmic recommendations becomes increasingly important. This research examines the opportunities and challenges that arise when AI systems support or augment human work, including issues related to trust, transparency, and responsibility. By analyzing human–AI collaboration in organizational settings, this study aims to identify patterns that contribute to effective human–AI partnerships. The findings are expected to provide insights into how organizations can better design, implement, and manage AI systems to enhance human capabilities while maintaining accountability and organizational performance.

Presenter(s): Oscar Amay

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I described a proposed study to research the effects of short form media on users' attention spans with the research question being, how does frequent use of short form media affect the user's attention span? Including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. This study is important because of how relevant it is to many people. 
Right now, there is a noticeable spike in the implementation of short form media on all major platforms. I believe it is important for users to understand how it is affecting them and their lives.

Presenter(s): Steven Litwak

Showcase Advisor: Richard Rose

Presenter(s): Sai Tanuja Nellivada

Showcase Advisor: Norman Gervais

Abstract: This internship focused on supporting system improvement through data analysis and data management activities. The work involved reviewing project data, resolving GitHub issues, and validating records stored in the system database to ensure data accuracy and consistency. By examining datasets and identifying inconsistencies, the internship contributed to improving data quality and supporting more reliable system processes. Additional tasks included reviewing project metrics and assisting with updates related to system issues and data corrections. Through these activities, the internship provided practical experience in applying data analysis concepts to real-world systems and understanding how accurate data supports better system performance and decision-making. Overall, the experience helped strengthen skills in data validation, problem solving, and collaborative technical workflows.

Presenter(s): Isabella Maccera

Showcase Advisor: Sarah Lauser

Abstract: Generative artificial intelligence is increasingly being integrated into video game development, offering new tools for content creation and design assistance. While these tools can accelerate artistic workflows and support rapid prototyping, they also raise ethical concerns related to authorship, originality, and the role of human artists. This study examines how generative AI is influencing the visual and artistic aspects of game development by exploring the perspectives of developers and creative professionals. Using a qualitative research approach, interviews were conducted with individuals working in or familiar with game development, and transcripts were analyzed using inductive coding to identify emerging themes related to creativity, artistic labor, and ethical responsibility. The study contributes to ongoing discussions about responsible AI adoption by emphasizing the importance of ethical guidelines, transparency, and collaborative human/AI workflows in future game development practices.

Presenter(s): Furkan Kurt

Showcase Advisor: Donghee Sinn

Abstract: The integration of multimodal data, such as wearable sensor metrics and clinical records, is crucial for advancing AI-driven mental health diagnostics like depression detection. However, organizing this highly heterogeneous data presents significant structural challenges. This literature review explores the critical role of Knowledge Graphs (KGs) and ontologies in organizing complex mental health data. Bridging traditional information organization principles with modern Knowledge Representation, the paper evaluates how current metadata standards and taxonomic frameworks facilitate the semantic linking of disparate data types. By synthesizing existing literature on ontological models used in healthcare, this review highlights the transition from standard classification systems to dynamic, interoperable data architectures. Ultimately, this research underscores how robust information organization is foundational for developing accurate, unbiased, and scalable AI systems in mental health care.

Presenter(s): Katie Baronowski

Showcase Advisor: Donghee Sinn

Abstract: Infotaxis is an information-theoretic search strategy designed for locating sources in environments where signals are sparse, intermittent, or uncertain. Instead of following a direct gradient toward a target, infotaxis guides search behavior by maximizing expected information gain and reducing uncertainty. This literature review examines infotaxis as a model for understanding information-seeking and information-processing within complex information environments. Drawing on research from information theory, computational models, and interdisciplinary studies of search behavior, the paper explores how infotaxis conceptualizes search as a process of updating and organizing probabilistic knowledge structures. Particular attention is given to the role of entropy reduction and iterative information updates in facilitating information discovery. By synthesizing existing research, this review highlights how information-driven search models contribute to the conceptual foundations of information organization and discusses their implications for designing systems that support efficient information discovery in uncertain environments.

Presenter(s): Bharath Bagadhi

Showcase Advisor: Angel Ford

Presenter(s): Anthony Ford

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research how exposure to personalized social media content influences political beliefs among young adults (ages 18–24) compared to adults (ages 40–55) who grew up before the rise of social media, including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. 

This study is important because political influence and belief have already been part of a large amount of research and study. Adding to that thread of research allows this study to build on existing work while also bringing new ideas to the ongoing conversation. Social media has also seen a major rise in popularity, making it an important factor in how people interact with political information today. Combining these two topics provides a strong research focus that can examine how modern social media platforms may influence political beliefs across different age groups.

Presenter(s): Nathan Strunk

Showcase Advisor: Dakota Murray

Abstract: A presentation about my experience with the new InfoEco lab as an IT intern.  My responsibilities involve setting up research data on university research computing, setting up workstations in the lab, doing research on programming and data tools, etc.

Presenter(s): Nabila Ayman

Showcase Advisor: Donghee Sinn

Abstract: The unstructured nature of Course syllabi is a challenge to curriculum mapping, quality assurance, and program alignment. Recent researches point on the hybrid methods of using ontologies with Natural Language Processing (NLP) to automatically extract syllabus components like course titles, course objectives, course schedule, and assessments. With the help of organized metadata and semantic reasoning, these systems allow aligning them to program learning outcomes, accreditation standards, and institutional objectives. This literature review will summarize the ontology-based NLP techniques and the use of metadata with a focus on how this can be used to organize the educational content, promote the interoperability of learning systems, and ensure standardized and machine-readable representations of the syllabus. The remaining issues are variability of domains, semantic ambiguity, and how to integrate these tools into the actual workflow of institutions.

Presenter(s): Gabriella Brathwaite, Nikaley Castillo, Isabella Maccera, Raya Hasan

Showcase Advisor: Kimberly Cornell

Abstract: AI is increasingly becoming part of everyday life for many. Though its use is prevalent, many people still don't have a clear understanding of how it works and the ethical implications behind it. Therefore, AI literacy is extremely important for students, employees, and anyone else using AI for entertainment or research. The goal of this program is to teach users AI concepts in an engaging way by using gamification and storytelling while promoting information retention.

Presenter(s): MJ Smedley

Showcase Advisor: Michael Leczinsky

Abstract: A presentation discussing the topic of when identity interacts with the role-playing realm of Dungeons and Dragons. The topics of race, gender, and intersectionality, and the struggles of double performance are discussed.

Presenter(s): Nicholas Brown

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research how real-time chat information like read receipts and typing indicators contribute to the misinterpretation of interpersonal connections and affect communication anxiety for young adults on iMessage, including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations.

This study is crucial because it tackles how digital communication has evolved initially from simple text exchanges to becoming an efficient way for humans to communicate with each other. Now that we depend a lot more on phones lately, it is important to address the fact that texting has become a primary method of communication. That being said we don't realize how much of an affect real-time chat features like using read receipts are not just features but also metadata which can lead to significant psychological distress when conversation is misinterpreted.

Presenter(s): Yujung Hwang

Showcase Advisor: Donghee Sinn

Abstract: Neurodiversity encompasses a wide range of cognitive, sensory, emotional, and motor variations that shape how learners process information and engage with educational environments. Although neurodivergent learners may experience challenges such as executive-function difficulties, sensory sensitivities, and social-communication differences, they often exhibit distinctive strengths including creativity, logical reasoning, and pattern recognition. However, prior research indicates that mainstream instructional designs and adaptive learning systems inadequately address these learners’ needs, frequently relying on surface-level adjustments to pace or difficulty. This review synthesizes literature from neurodiversity research, cognitive learning sciences, and artificial intelligence to examine how generative AI can enable scalable, neurodiversity-aware curriculum adaptation. We argue that diagnosis-based categories are insufficient for personalization and propose a functional, cross-condition framework grounded in executive control, information-processing efficiency, and socio-emotional and sensory regulation. We assess current capabilities and limitations of large language models and outline a research roadmap for cognitively grounded, learner-centered curriculum adaptation.

Presenter(s): Prabin Sharma

Showcase Advisor: Donghee Sinn

Abstract: This literature review examines information organization systems in US cash disaster aid literature from Web of Science, PubMed, and Academic Search Complete, while assessing their role in evaluating aid effectiveness. It analyzes classification schemes, metadata standards (e.g., FEMA beneficiary registries), and discovery tools that structure knowledge on Individual Assistance programs.  
The synthesis identifies how these systems enable effectiveness analysis tracking outcomes, gaps in vulnerable population data, and big data integration challenges.

Presenter(s): Elan Schwartz

Showcase Advisor: Richard Rose

Abstract: High standardized test scores are often seen as proof that a student truly understands the material... but is that actually true? This research proposal questions whether students who score well on standardized tests can demonstrate real conceptual understanding when evaluated independently. The findings could shed light on what high test scores actually tell us, and whether we should rely on them as heavily as we do.

Presenter(s): Arianna Hansen

Showcase Advisor: Angel Ford

Abstract: By investigating the connection between national income levels and the quality of their library services within the Caribbean countries. Libraries are positioned to show educational and economic developments. So by combining any quantitative and qualitative methods, research can help us compare those academic libraries across any high and low income nations. This is to clearly demonstrate how disparities in national wealth shapes that access to knowledge. Key points like digital database availability, technological resources, study spaces, and open access help serve as a measure of institutional growth and inclusivity. Seeking to visualize how uneven economic growth works with and into different academic opportunities. Showing us the role libraries play in reinforcing inequities in higher education. Overall academic libraries are not only educational infrastructures but are also a critical reflection of a nation's development across the Caribbean landscape.

Presenter(s): Olivia BenAoumeur

Showcase Advisor: Donghee Sinn

Abstract: Recent utilization of agentic artificial intelligence (AI) in the software engineering industry holds promise for streamlined development and accelerated delivery of products. Previously, these organizations relied on explicit and detailed human-centric documentation of coding practices to retain the structure of organizational knowledge and learning. The DIKW hierarchy theoretically maps this pipeline, converting raw data and information into knowledge and wisdom. However, agentic AI’s fully autonomous structure removes the human from the loop, which jeopardizes this transfer of information into knowledge. Therefore, this documentation gap risks altering the foundational organizational knowledge framework as it is currently structured. This poster addresses these risks by providing a framework to mitigate against the loss of organizational knowledge as these industries continue to utilize agentic AI. By providing solutions now, while agentic AI is early in organizational deployment, we can address potential gaps between information processing and knowledge and wisdom structures for long-term human retention.

Presenter(s): Callie Walker, James Bozek

Showcase Advisor: Kimberly Cornell

Abstract: This research presents a multi-phase framework to modernize radio direction finding (RDF) tracking systems through digital signal processing and secure long-range mesh communication architectures. These systems are commonly used to locate vulnerable individuals, including those with autism, dementia, or cognitive impairments. Traditional systems rely on Yagi antennas and operator interpretation of auditory cues, limiting accuracy and creating security concerns, as anyone with a receiver tuned to the transmitting frequency can potentially locate the wearer.

The project progresses from signal digitization to authenticated mesh communication and ultimately toward data-driven search-and-rescue (SAR) techniques. Phase 1 implements a lightweight, cost-effective Moxon antenna compatible with existing equipment and drones. Phase 2 redesigns the system architecture using encrypted and authenticated LoRa communication at 915 MHz to transmit GPS coordinates. Together, these phases assess whether a digitally processed and cryptographically secured architecture can improve reliability, scalability, and operational security in tracking systems.

Presenter(s): Geoffrey Grimm

Showcase Advisor: Michael Leczinsky

Abstract: Who doesn't love a good mystery? Join me in exploring why we love mysteries and how you can use them in your games to make a more engaging experience.

Presenter(s): Damon Mazuryk, Tyler Montanye, Chris Bethea

Showcase Advisor: Eric Best

Abstract: This project focuses on the student-led design and prototyping of a custom light-mounting pod for a modified Ford Mustang rear spoiler used by the New York State Police (NYSP). The objective was to develop a compact, durable housing capable of securely mounting a light module while conforming to the geometry of the vehicle’s spoiler and maintaining a clean exterior finish suitable for sanding, priming, and painting.

Presenter(s): Clark Constant

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I want to describe a proposed study to research how social media and political rhetoric have contributed to or directly led to the rise of extremism, specically far right extremism and modern Nazi ideology. This includes a review of existing literature, alternative methods, and analysis. 

The study is important because social media has become one of the main ways people get news and share political opinions. Messages can spread quickly online and reach large audiences. In many cases, extremist groups use social media and political language to persuade people. This reasearch could help social media platforms, lawmakers and other communities to find better ways to reduce extreme rhetoric and make not only online spaces but also the real world as well.

Presenter(s): Oyeronke Ogunbayo

Showcase Advisor: Donghee Sinn

Abstract: This study reviews the application of ontology-based metadata and terminological reasoning to support semantic interoperability in hazard information management during emergencies. As disaster information systems increasingly rely on heterogeneous data sources, ontology-based approaches have emerged as effective tools for structuring knowledge and enabling consistent information exchange across systems and organizations. This review examines existing ontology-based information systems developed for hazard and emergency management and evaluates how these systems improve knowledge representation, interoperability, and information retrieval. The study synthesizes current research to identify the key benefits and limitations associated with ontology-based approaches in hazard information management. In addition, the review highlights major challenges related to ontology design, data integration, and system interoperability. By identifying current research gaps, this study provides directions for future research on semantic knowledge that can enhance information management and decision support in disaster and emergency contexts.

Presenter(s): Mildred Adwubi Bonsu

Showcase Advisor: Donghee Sinn

Abstract: Cybersecurity incident reporting supports compliance in critical infrastructure by enabling oversight, accountability, and response. Its effectiveness depends on how incident data is structured and communicated. This paper reviews existing literature to examine information barriers that hinder the timely and accurate disclosure of cybersecurity incidents. The review identifies key challenges, including inconsistent data structuring, fragmented reporting processes, and difficulties in interpreting incident information. These barriers reduce data usability, delay response, and weaken compliance outcomes. Improving the organization of incident data is therefore essential for effective compliance and regulatory oversight. The findings provide practical insights for policymakers, regulators, and security practitioners responsible for compliance and incident response in critical infrastructure.

Presenter(s): Todd Orzech

Showcase Advisor: Jennifer Goodall

Abstract: Peer Education presentation on student engagement

Presenter(s): Allison Warner

Showcase Advisor: Jill Cofield

Abstract: This project discusses the workplace for Records Professionals (RP) and their experiences. As previous models of data implementation become obsolete, roles are changing with the increased use of Records Databases or software, and in some places, Artificial Intelligence (AI). When this occurs, Record Professionals need to be familiar not only with basic functions like metadata maintenance and regulatory compliance, but also with understanding how developing technologies impact how record environments operate. The proposal in this overview contributes to the field of Records Administration by providing information for future RPs to understand the environments in which they will be involved and the qualifications that are expected of RPs entering the workforce. The population selection is RPs in education management office settings because of the example of compliance efficiency when handling sensitive information processing.

Presenter(s): Justin Evans

Showcase Advisor: Alexandra Gibson

Abstract: CIST 533: Information Retrieval, explores the theoretical approaches used by information system architects to represent documents in information search retrieval systems, as well as the user-interface design approaches used to make those retrieval systems accessible to the public. Key concepts explored in the course—including document representation, term indexing and search user interface design—are integrated with lessons from other courses to create an accessible and elegant search interface for browsing historical images.

Presenter(s): Warren LaRocque

Showcase Advisor: Richard Rose

Abstract: This presentation is a research proposal on deciding what the best practices for preserving Adobe Flash games might be. These games are no longer supported or widely available after the discontinuation of Flash, and their preservation lies in the hands of archivists. Do these archivists preserve broken material? What about material in a language they don't speak, or deliberately offensive material? These are important questions that need to be asked when working to preserve Adobe Flash games. The research proposal will provide material such as a literature review and a methodology.

Presenter(s): Gabriella Baratier

Showcase Advisor: Angel Ford

Abstract: This research proposal, crafted for a Research Methods in Information Science course, outlines a proposed qualitative study of the extent to which college and university archives have preserved the born-digital records created by contemporary student organizations. Current literature in the archival field that examines outreach strategies for collecting student life materials primarily focuses on paper records, and current literature on born-digital records management and archival preservation primarily focuses on official university records. The born-digital records of student organizations, a critical part of the documentary heritage of college and university life, are overlooked in such studies. The proposed research seeks to fill gaps in our knowledge about the work college and university archivists have done through textual analysis of repository websites, a survey, and subsequent interviews with archivists. My poster provides an overview of existing literature, as well as my proposed research methods, data collection techniques, and data analysis techniques.

Presenter(s): Aaron Honorio

Showcase Advisor: Richard Rose

Abstract: Sports today are about much more than what happens on the field. Behind every game is a growing network of digital systems collecting, storing, and analyzing massive amounts of data. Teams track athlete movement, physical performance, and health using wearable technology and advanced analytics, while fans increasingly interact with sports through online platforms such as sports betting websites. While this data-driven approach has improved performance, strategy, and fan engagement, it has also created new vulnerabilities. As sports organizations rely more heavily on digital systems, the risk that this data can be compromised continues to increase. This research examines how sports data can be compromised, focusing specifically on athlete tracking data and user data from sports betting platforms, and explains why these risks matter in real-world contexts.

Presenter(s): Kelly Stewart

Showcase Advisor: Jill Cofield

Abstract: For my research project, I would like to propose to survey archivists involved in the preservation of pop culture to ascertain how video games should be preserved, and the main problems associated with preservation. My poster will be an outline on my research methods and survey questions I intend to ask to ascertain the answers to these questions.

Presenter(s): Gabriella Baratier

Showcase Advisor: Donghee Sinn

Abstract: This poster details an archival processing project of the Nathan Rey Whetten Papers at the Museum of Innovation and Science (MiSci) in Schenectady, New York. Whetten was a physicist at General Electric, and his papers document his professional career. I provide an overview of the actions undertaken to increase the accessibility of the collection, including arrangement, description, metadata generation, publishing and encoding a finding aid, and writing a MARC (Machine Readable Cataloging) record. I also discuss the unique challenges posed by processing the Whetten collection, including striking a balance between retaining creator-supplied folder titles and increasing the potential for discoverability of the collection by researchers; representing the relationship between the records and various artifacts in MiSci’s museum collections; navigating potential privacy, confidentiality, and copyright concerns; and preserving 35mm slides and photographic negatives. I draw on archival literature and best practice standards to illustrate solutions to these challenges.

Presenter(s): Ronald Sanders

Showcase Advisor: Jennifer Goodall

Abstract: This poster would be mostly about how procrastination can ruin college students, situations that people end up in, and showing ways to counter procrastination.

Presenter(s): Mary Kelley, Tahj Wiggins, Jude Ofori

Showcase Advisor: Alexandra Gibson

Abstract: The Purr & Pearl Boba Cat Café project presents a website concept designed for a cat café that combines a relaxing cat lounge with a modern bubble tea experience. Our website allows visitors to explore the drink menu, customize their beverages, and learn about the available cats and lounge guidelines before visiting. The design creates a warm playful aesthetic which shows the café identity while making it easy for users to navigate and access the website.

This project demonstrates the use of HTML, CSS, and JavaScript to build an interactive and responsive website. The poster shows the website development process through its design elements which include a site structure, visual style, and interactive features while demonstrating how effective web design increases customer interaction and backs up adoption events and themed nights and builds the café's digital brand.

Presenter(s): Jemieka Findlay

Showcase Advisor: Angel Ford

Abstract: This presentation will focus on understanding and analyzing the differences in answers in for low- and middle-income countries when it comes to conducting research and disseminating research. Further building off of Dr. Angel Ford’s work. The aim is to conduct a comparative review of answers qualitatively and quantitatively by using means of qualitative and quantitative measures of analysis. Firstly, responses will be taken and grouped into tables upon similarity/relations or differences, which makes as easier identification of common themes and trends, then, a count shall be taken for the number of groups of similarities and differences within these countries (Ethiopia, Jamaica, Tanzania, Uganda). Lastly, conclusions and discussions will be drawn.

Presenter(s): Koby Tanoh

Showcase Advisor: Angel Ford

Abstract: Imagine the world as a kaleidoscope, ideally a vivid image made of many colors where each color represents knowledge systems and scholars and knowledge systems from different regions. Stronger nations,  like China and the U.S, are seen in red, while less dominant countries/regions are represented in colors like orange, blue, and yellow. In reality, most of what you see through the kaleidoscope is covered in red. AI systems, mainly trained on English language data Western  sources, bolster this imbalance through epistemic injustice, where the Global North’s knowledge is systematically valued over others. This research will examine how non-English and Global South research is underrepresented in AI generated findings, and how this risks reinforcing existing global inequalities. It also explores potential solutions, including multilingual datasets and more inclusive data collection practices and argues that, if developed properly AI could potentially become a tool that bridges or widens this divide.

Presenter(s): Chance Fiduccia

Showcase Advisor: Jill Cofield

Abstract: Reading comprehension is an important skill. It is linked to more than just academic success, but also in the quality of our lives, so developing this skill is crucial. Since the development of public education, how people are taught has not changed much. In my research I ask if there is a better way to have students not just repeat the right words to earn a good grade, but to have them understand the information and how it connects to other pieces of data relevant in their lives. If prose has downsides on its own, then could other mediums improve education? Comics and video mediums are occasionally used in primary education. But could education benefit by using these mediums more? 

Presenter(s): Kaitlyn Deodat

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to close the gap in scholarly conversations on the psychological impact that AI can have on individuals involved in the entire court process. Authentication of AI-free evidence against can be found with detection technologies and the personal judgment of judges. However, it is important to note that defendants can also claim real images as AI. If a case receives this claim, then the jury's influence will be weighted more. Pre-trial, courts have preliminary instructions stated to educate and inform the jury. However, there are currently none in place that are specific to AI. A group will be given instructions on AI content, while the other will have no instructions. Both will be assessed on whether the content is a deepfake or real. Analyzing an individual's ability to detect AI use can provide insight into the capability of a federally mandated instruction.

Presenter(s): Anna Grosse

Showcase Advisor: Michael Leczinsky

Abstract: 'Realm of Adhar' is a project I've created as my own tabletop role-playing game, stitching together Scotland's unique folklore and ethereal Isle of Skye into it's own horror-based fantasy. 

Presenter(s): Lexandra Carames

Showcase Advisor: Alexandra Gibson

Abstract: Pokémon Pokopia expands the Pokémon franchise into a slow‑life, building‑focused simulation, encouraging players to create habitats that attract and support Pokémon. While the base mechanics emphasize creativity and exploration, there is an opportunity to deepen Pokopia’s strategic systems by redesigning how Pokémon companions and habitats interact. This project explores the current habitat and companion mechanics, identifies opportunities for adding depth and strategy, and proposes conceptual redesigns. Proposed changes include dynamic ecosystem interactions, progression systems tied to habitat development, and more meaningful companion abilities that influence gameplay. The project will include research on similar life simulation systems, mock‑ups of proposed UI/UX changes, and written analysis illustrating how these redesigns could enhance player engagement and long‑term play value.

Presenter(s): Melany Rumman

Showcase Advisor: Donghee Sinn

Abstract: Artificial intelligence (AI) is rapidly transforming healthcare across diagnostics, clinical decision, patient engagement, administrative operations, surgery and medical imaging among others. While existing literature emphasizes AI’s performance, accuracy and efficiency, fewer studies examine how clinicians experience and navigate the ethical challenges associated with these technologies in clinical practice. Concerns include algorithmic bias, limited explainability, accountability gaps, workflow disruption, and patient safety risks. To address this gap, a systematic literature review of 20+ peer reviewed studies was conducted to assess AI’s benefits, limitations and implications, emphasizing fairness, transparency and human oversight as core principles of Responsible AI. The review compared technology adoption frameworks TAM, TAM3, TTF and UTAUT and identified UTAUT integrated with RAI principles as the most comprehensive lens for understanding clinician adoption of AI in healthcare environments. Building on this foundation, a qualitative study will explore clinicians’ experiences with AI in and how they navigate ethical challenges in practice.

Presenter(s): Eghosa Awo-osagie

Showcase Advisor: Kimberly Cornell

Abstract: Underwater robots are useful for mapping out the ocean floor and reducing pollution, but they face issues like sending transmission data through water and requiring a tether for any means of control and communication; this prevents scaling up of the technology. This project aims to contribute to the field with a platform where individuals can train the underwater robot to perform tasks autonomously. This project proposes a simulation architecture for robots, using autonomous underwater vehicles as the first robotic focus. It will detail why simulation systems are significant, how an individual would create one, as well as limitations and considerations.  The architecture will use open source and readily available platforms for the first iteration build, Gazebo will be used to initial prototyping, alongside specialized simulators and open-source hardware for underwater robots. Future iterations may add more specialization for humanoids, flying robots, and more.

Presenter(s): Sebastian Brand

Showcase Advisor: Jennifer Goodall

Abstract: Independent tech repair can help feed a student's feeling of personal independence, whether it be finding a tech or doing it themselves. It can help a student understand the technical terminology that typically plagues the tech world and even get a better understanding of the technology they utilize every day.

Presenter(s): Elijah Wilson-Minard

Showcase Advisor: Kimberly Cornell

Abstract: Modern websites depend on outside services such as advertising networks, analytical tools, and tracking systems. These technologies are often discussed as a privacy concern but they also create security risk. This paper examines whether online tracking mechanisms increase the web attack surface by collecting storing, and sharing user data through third party services. Tracking has evolved from simple browser cookies to more advanced methods such as device fingerprinting and large networks of third party trackers. These techniques allow companies to identify users across websites and maintain persistent identifiers even after cookies are deleted. studies also show that most websites include third-party tracking scripts that can access user data and send it to external systems. This creates many additional connections between websites and outside organizations. Even though browsers offer defenses such as private browsing mode and ad blockers, research shows that these tools often cannot fully stop modern tracking techniques

Presenter(s): Gabriel Hildebrandt

Showcase Advisor: Michael Leczinsky

Abstract: A presentation on my independent study on Dungeons and Dragons as facilitated through the roleplay realms CGDD213 class.

Presenter(s): Gianluca Yepes

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I will describe a study to research how exposure to AI made deepfakes affects peoples ability to distinguish between real and fake media, including, proposed methods to tell if an account is posting AI generated content, analysis of accounts posting AI generated content, and a discussion about the ethical violations and limitations of AI in the media. 
As AI technology becomes increasingly accessible, deepfakes are taking over platforms like Instagram, TikTok, YouTube, and X at an unprecedented rate. This poses risks to public trust, peoples reputations, and the integrity of media. Most people see AI generated content daily without realizing it, yet little research has examined how repeated exposure helps or hurts one's ability to detect it. Understanding this relationship is important for developing media literacy.

Presenter(s): Diamond Copeland

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence (AI) can support individuals with visual impairments by providing visual descriptions and educational assistance. AI tools that use computer vision and object recognition are able to identify objects, read text, and describe surroundings, helping users better understand visual information in real time. These technologies can also improve access to educational materials by converting visual content into audio or descriptive formats. By examining current AI-powered assistive tools, this project highlights how AI can improve accessibility, support learning, and help individuals with visual impairments gain greater independence in their daily lives and education. 

Presenter(s): Nathan Luangaphay

Showcase Advisor: Richard Rose

Abstract: This study talks about a sequential deep learning model that integrates longitudinal dental radiographs and dental records to detect early caries and track oral health progression. By combining spatial feature extraction (vision transformer / CNN) with temporal modeling (bidirectional RNN and attention), the model compares current and previous images to identify subtle changes and create color coded visuals for professionals and patients. Evaluating diagnostic accuracy to dental professionals, estimate cost impacts of AI assisted treatment plans, and find out if repeated AI recommendations cause decision drift among professionals. Other things to focus on are privacy preserving data, proper training, and annotation standards to ensure generalizability and safe human in the loop use.

Presenter(s): Wyatt Dolge, Elliel Torres, Chisom Nwike, Ian Jackson, Brendon Barnard

Showcase Advisor: Jonathan Crispino

Abstract: This research project explores the implementation of Artificial Intelligence (AI) systems designed to provide medical and logistical information to patients during periods of isolation in hospital settings. As healthcare infrastructures move toward a model of “smart hospitals,” the role of bedside assistants has emerged as a potential solution to the information gap for patients when medical staff is unavailable. The scope of this research is divided into three different subtopics: the concerns regarding data privacy, the technical reliability of AI generated medical advice, and the psychological impact of replacing human interaction with algorithmic responses. Drawing on current sociological frameworks this research project analyzes the tension between technological efficiency and the traditional bedside manner. This research outlines the systemic challenges and the necessary regulatory safeguards required for the future implementation of these technologies in a healthcare environment.

Presenter(s): Benjamin Diamond

Showcase Advisor: Jill Cofield

Abstract: For CIST608, our class must present a research or grant proposal for a future potential project. For mine, I'm going to create a research proposal focused on AI usage in public school libraries. Specifically, in ones without librarians. About 35% of schools in New York State don't have a full or part-time librarian. Have schools without librarians used artificial intelligence, this emerging technology, to fill in the service gaps, and if so, how? My poster will map out how I'd conduct the study, from where it'll be conducted to which methods I would be using.

Presenter(s): Ava Ericson

Showcase Advisor: Jill Cofield

Abstract: Technology and its impact on mental health has become one of the most widely discussed issues of our time. With the advent of social media and smart phones, many modern and unprecedented problems have begun to affect those who spend their time on these sites. Social media has altered the way we engage with reality and one another. Overuse of social media has been shown to be related to poor mental health, psychological distress, and social isolation. Social media addiction has been shown to be correlated with anxiety, especially when doomscrolling is also a factor. There is evidence that interventions such as time limits and “digital detoxes” improve the well-being of individuals who utilize social media. My intention is to design an experiment to see how effective such interventions are in improving participants overall mental health.

Presenter(s): Maurice Ogada, Paton Hill, Marina Varghese, Mekhi McFowler, Mekhi McFowler, Amro Abuelmaali

Showcase Advisor: Jonathan Crispino

Abstract: Many articles discuss the negative effects of social media on children’s social development, including low self-esteem, poor communication skills, and cyberbullying (Ehmke, 2026). However, less attention has been given to the potential positive impacts of social media as a communication technology. Discussions often focus on children and teenagers, while young adults are rarely included in the conversation. Our team aims to explore how social media helps maintain long-distance relationships among young adults. We will conduct three internal interviews within our team because we are uniquely positioned to reflect on this topic. As college students living away from family and hometown social circles, social media has become a primary way to stay connected through photos and texts. We also experienced the COVID-19 pandemic, when digital communication replaced traditional social spaces like school and work. Through an interview-style podcast, we plan to produce three episodes sharing personal stories about maintaining long-distance relationships

Presenter(s): Catherine Wasula

Showcase Advisor: Angel Ford

Abstract: The rapid growth of social media has transformed communication and mobilization across society, including within criminal organizations. Existing research examines organized crime structure and different pathways to recruitment; however, little empirical research has been done on how digital platforms have affected recruitment towards these groups. This proposal demonstrates possible ways that social media has shaped recruitment strategies among organized crime groups. It hypothesizes that networks actively using social media for recruitment will show higher recruitment and growth rates than those relying mainly on other methods. This research highlights a significant gap in the quantitative comparison of digital recruitment versus traditional strategies. By analyzing how organized crime adapts to evolving digital platforms, this study aims to enhance understanding of emerging threats.

Presenter(s): Mary Kelley

Showcase Advisor: Jennifer Goodall

Abstract: Social media use shapes college students. Their social media activities determine their patterns of studying and academic interactions. The study investigates how college students establish academic connections through social media while using platforms for their mental health. The research investigates social media platforms through academic studies which show both their positive and negative effects. The research study will present essential results through a poster which displays background details and the main research inquiry and the significant findings from literature and methods for better and mindful social media usage. The research findings will be presented through visual elements which will create an engaging and accessible display for college students.

Presenter(s): Vasuda Trehan

Showcase Advisor: Kevin Knuth

Abstract: Recent advances in Artificial Intelligence and Machine Learning have transformed our exploration of the cosmos. We present SPECTRA, a Bayesian Machine Learning Framework for Modeling and Predicting Exoplanetary Atmospheric Absorption Spectra. The model combines observational spectra with synthetic spectra generated using the ROCKE-3D climate model. Traditional interpolation methods become inefficient in high-dimensional parameter spaces. To address this, we introduce a scalable, non-parametric Bayesian framework using Gaussian Process Regression to serve as a forward model for predicting exoplanetary spectra. Our approach uses optimized kernels to capture complex nonlinear spectral variations, and Bayesian Adaptive Exploration to prioritize informative sampling, reducing the number of required simulations without sacrificing accuracy. We also incorporate nested sampling to explore kernel hyperparameters in high-dimensional settings. The resulting system will be used as a forward model to infer planetary parameters from a planet’s atmospheric absorption spectrum and contribute to understanding exoplanet properties, climates, and habitability.

Presenter(s): Nathan Powell

Showcase Advisor: Sarah Lauser

Abstract: This paper explores how memes of degraded visual humour are perceived across different generations by examining reactions to the memes about the philosophy of deep fried, i.e., by excessive JPEG compression, low resolution, and extreme saturation of colour and brightness. The main research question concerning the different generations is how different generations react to this systematic loss of image quality. We theorize that Generation Z will view the gradual degradation of progressive images as a comic, ironic joke, and enjoy the highly distorted memes more. On the other hand, Millennials will be confused to see these twisted pictures and will be already wondering how bad the images have become instead of them being played off as a joke. Moreover, the previous generations will probably be more inclined to use textual indicators, and Gen Z sees chaotic editing of videos as the comedy itself.

Presenter(s): Tyler Barnes

Showcase Advisor: Michael Leczinsky

Abstract: One-shot within the TTRPG designed over the course to be presented and played during showcase with a poster representation of the game.

Presenter(s): Marie-Therese Acloque

Showcase Advisor: Rawan Almakinah

Abstract: The rise of generative AI marks a pivotal shift in the Intelligence Revolution, introducing AI labor as a transformative economic force. While proponents celebrate its potential to optimize productivity and human quality of life, its disruptive effects on labor markets have sparked urgent debates around Universal Basic Income (UBI) and fundamental economic restructuring. Governments and industry tycoons are investing billions into the promise of a "techno-utopia": a future society in which AI labor is so pervasive and beneficial that we achieve unprecedented prosperity. This presentation critically examines that vision. Under this framework, I argue that rather than delivering this idealized future, unchecked AI labor integration will precipitate structural economic collapse. The techno-utopia, as imagined today, is a logical impossibility.

Presenter(s): Ciera Gidley

Showcase Advisor: Abdulhamit Subasi

Abstract: While artificial intelligence first came about in the 1950s, significant strides have been made in its construction since then. It has been implemented in many important fields to advance research, one of them being the medical field. Through new detection algorithms, artificial intelligence has been used to create more efficient ways to diagnose certain conditions, including those involving the thyroid.

Presenter(s): Kyle Millington

Showcase Advisor: Jennifer Goodall

Abstract: My presentation will be about transfer students and how they can utilize resources UAlbany offers to find their place within the community. As a previous transfer student, I know it can be hard for students to fund there place, so I want to give any students attending showcase options to get involved on campus activities.

Presenter(s): Isaiah Russell

Showcase Advisor: Jennifer Goodall

Abstract: Transition from college student to professional teacher can be an exciting but challenging process. College students majoring in education participate in classes on teaching theory, methods, and classroom management for years. These students often encounter difficulties that were not fully experienced when they start teaching classes of their own. Going from a student to a teacher requires assumption of a new role, development of authority, and a readiness to deal with the emotional demands of the job.

Presenter(s): Asfand Ali Khan

Showcase Advisor: Jill Cofield

Abstract: Artificial intelligence (AI) is increasingly integrated into healthcare decision-support systems, including operational areas such as hospital supply-chain management. Many emerging systems rely on hybrid human-AI decision-support models, where algorithmic recommendations are combined with human judgment. While such systems promise improved efficiency and predictive capability, their use raises important questions about trust and perceived fairness among the decision-makers who rely on them. These concerns become particularly significant during crisis situations, such as flood-related disruptions, when hospitals must allocate limited resources under conditions of uncertainty and time pressure. This study examines how hospital supply-chain decision-makers perceive trust and fairness in hybrid human-AI decision-support systems during flood disruptions. Drawing on interdisciplinary literature from healthcare AI, human–computer interaction, and AI ethics, the study synthesizes existing research on trust formation, algorithmic fairness, and stakeholder perspectives on AI-assisted decision-making. The research aims to better understand how institutional decision-makers evaluate human-AI collaboration in high-stakes healthcare operational environments.

Presenter(s): Tyrece Agbo

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research how labeling information or content as AI-generated impacts how much people are willing to trust it, including a review of existing literature, proposed methods and analysis, and discussion about the limitations and ethical considerations. I chose to research this topic because AI is something that is becoming common in our everyday life and something a lot of people rely on for basic information. As good as it might sound AI can also have its downside, it can spread misinformation depending on what you are trying to find. In this research I explore how people are willing to trust content labeled as AI generated and how these information are conveyed. AI can spread misinformation, false content on social media and there are many risk these information may pose to the viewers. Overall, understanding how AI contributes to misinformation is critical

Presenter(s): Matthew Gregg, Tyler Robinson, HaoJian Huang, Santino Viscariello

Showcase Advisor: Kimberly Cornell

Abstract: Navigating university campuses presents a unique challenge, particularly in GPS-denied indoor structures and subterranean tunnels. UANav is a specialized, hybrid outdoor-indoor mobile navigation system designed for the University at Albany. We are implementing an offline-first architecture because we expect students to use the application while navigating buildings and searching for their classrooms. A Python pipeline aggregates OpenStreetMap data with digitized QGIS tunnel maps. This master graph is managed via a Supabase backend and bundled as a local JSON asset within the Flutter mobile client. The application executes a custom A* pathfinding algorithm entirely on the device using Dart, ensuring seamless routing even without cellular connectivity. The algorithm dynamically adjusts edge weights based on user accessibility preferences. This project aims to deliver a practical utility for the UAlbany community while giving the team valuable experience in applied graph theory and software development.

Presenter(s): Julia Danish

Showcase Advisor: Rawan Almakinah

Abstract: This presentation provides an overview of artificial intelligence, focusing on its historical foundations, core concepts, and practical applications. It introduces key AI technologies such as machine learning, computer vision, and natural language processing, and examines how these tools are used to address real‑world challenges. The presentation also addresses ethical and societal considerations related to AI adoption, including bias, privacy, and accountability. Emphasis is placed on developing AI literacy and critical thinking to support informed decision‑making and responsible use of AI technologies in professional settings.

Presenter(s): Owen oleszewski, Bam Ramanu, Timothy Smith, Dariel delacruz, Diamond Copeland

Showcase Advisor: Jonathan Crispino

Abstract: Our presentation on digital privacy will serve as an educational project to help social media users understand how to effectively manage and protect the integrity of their personal information and data when using the internet. We all have something called a digital footprint, which is made up of internet/app behavior, digital communications, and information we share online. We aim to answer questions about how our personal data is being used and what the average social media user can do to protect their data. Our presentation poster will cover the importance of digital wellness and how it can affect our daily lives if we’re not aware. With this presentation, we will educate people about how important it is to be aware of how personal data is collected and bring more awareness to digital wellness to prevent further casualties- financial scams, hackers, etc.

Presenter(s): Bonica Venkata Sai Lakshmi Jalakam

Showcase Advisor: Jill Cofield

Abstract: Technologies like smart speakers, voice activation assistants and artificial intelligence enabled applications that are always-on are becoming a part of people's lives. Many of these technologies collect and process user information in the background for the purpose of providing personalized convenience. However, many of the users of these technologies do not fully understand how their data is collected, stored or used. This presentation explores how user's understanding of data collection practices in AI systems impacts their trust and feelings of emotional security when using those technologies and summarize how user perceptions of the concepts of transparency, control and risk can impact their attitudes toward AI. In conclusion, understanding these perceptions will be key to developing better AI systems and ultimately create more transparent and trustworthy technologies.

Presenter(s): Aidan Doherty, Justin Whittle, Santino Viscariello, Aiden Scantlebury

Showcase Advisor: Jennifer Goodall

Abstract: We are showcasing a promotional night we created for the Hudson Valley Valleycats Baseball Team. We'll have a presentation showcasing the process of working with our client, the theme we created, and all of the details including games, sponsors, and planning that went into the event.

Presenter(s): SK Ameena Amrin sultana

Showcase Advisor: Rawan Almakinah

Abstract: “Wear the Algorithm” is a digital styling platform designed to help users make better outfit choices using artificial intelligence. The website or mobile app would be mainly focusing on   analyzing clothing items and suggests suitable combinations to create well-coordinated outfits. Users can upload or select pieces from their wardrobe, such as tops, jackets, or pants, and the system recommends items that match in terms of style, color, and occasion. The goal of the project is to simplify everyday fashion decisions and help users feel more confident about their clothing choices. By applying algorithm-based recommendations, the platform provides personalized styling suggestions similar to a virtual stylist. This approach demonstrates how AI can be integrated with fashion to create practical tools that improve personal style, save time, and encourage more creative outfit combinations.

Presenter(s): Nicholas Wong

Showcase Advisor: Abdullah Canbaz

Abstract: AI can be put into games to help improve the computers ability to be challenging to the player. How does AI truly work in games now that it has become prominent in almost every electronic industry. Even in area's that are closely related to gaming can use AI like livestreams.

Presenter(s): Christian Loveless

Showcase Advisor: Abdullah Canbaz

Abstract: AI usage in music is an emerging trend whether it's artist using it for an idea or people using it to clone deceased and alive musicians. I will do a dive on what I believe it means for the industry and for fans of music.

Presenter(s): Jacob Stern

Showcase Advisor: Rawan Almakinah

Abstract: Deep fakes are AI-generated images or videos that alter a persons appearance or actions. As technology has been advancing, detecting these deepfakes has become increasingly challenging. This project explores the methods that allow modern deepfakes to bypass AI-based detection systems. Understanding these methods is important in order to create stronger tools to prevent these deepfakes from causing issues.

Presenter(s): Hasan Serville, Samore Banse, Dacir Franco, Princely Besong, Giovanni Lazala

Showcase Advisor: Jonathan Crispino

Abstract: This research evaluates how eye tracking technology in modern vehicles improves road safety by monitoring driver focus and reducing accidents caused by distraction and fatigue. According to the National Highway Traffic Safety Administration, 3,275 lives were lost due to distracted driving in 2023. This statistic highlights that distracted driving continues to be a serious threat to U.S. roadways. Personal vehicles account for 91% of all commuting transportation in the U.S, according to the Bureau of Transportation Statistics, putting millions of drivers at risk annually. To address accidents caused by distracted driving, car manufacturers such as General Motors, Ford Motor Company, and Subaru Corporation are implementing eye tracking technology in their latest production vehicles. Features such as BlueCruise, SuperCruise and EyeSight help ensure driver focus in high-traffic environments. Findings suggest eye tracking systems, when integrated with existing safety features, significantly enhance driver awareness and reduce unsafe driving behavior.

Presenter(s): Noelle Capodieci

Showcase Advisor: Kimberly Cornell

Abstract: Generative AI (GenAI) tools are making developments towards autonomous coding agents rather than purely conversational chatbots. GenAI is typically trained with two major goals in mind: to be as helpful as possible, and be as harmless as possible. There exists moments where helpfulness may be prioritized over harmlessness due to the confliction of these goals. Large Language Models (LLMs) may be jailbroken into fulfilling malicious prompts that safeguards would otherwise prevent, stemming from exploitation of helpfulness. Subsequently, cybercriminals may utilize GenAI for malicious code generation with intentions to automate cyber attacks. This study analyzes the scope of success in malicious code generation that bad actors may yield when jailbreaking publicly accessible models. This study further analyzes the functionality of AI-generated malicious scripts to whether they work as intended, exploring how much human intervention is needed for the current state of jailbroken LLMs in malicious code generation.

Presenter(s): Suzanne Sompon

Showcase Advisor: Donghee Sinn

Abstract: Information poverty theory has shaped library and information science (LIS) inquiry into marginalized populations' information access for over three decades. This systemic literature review aims to examine how information poverty theory has been developed, applied, and extended in the LIS literature in the past two decades.

Presenter(s): Mehtab Rahman

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I describe a proposed study to research why college students with high algorithmic literacy refrain from correcting misinformation or seeking opposing viewpoints on social media, despite concern about filter bubbles. The study will use semi-structured interviews with students who score high on the Algorithmic Media Content Awareness (AMCA) scale to understand their barriers to engagement. Drawing on Chung's (2025) "algorithmic cynicism" and Ganaie's (2026) work on platform power, this research explains the gap between knowing how algorithms work and taking action. This study is important because current digital literacy efforts focus on teaching how algorithms function, yet research shows this knowledge alone does not change behavior. Understanding the why behind inaction is essential for designing interventions that address feelings of powerlessness and social fear, helping young people become active participants in their information ecosystems.

Presenter(s): Skylar Browm

Showcase Advisor: Jennifer Goodall

Presenter(s): Nikaley Castillo

Showcase Advisor: Jill Cofield

Abstract: Artificial intelligence has been integrated in a variety of industries such as law, education, business, and healthcare. Specifically looking at the healthcare industry, chatbots have been increasingly used for therapy purposes. They can work alongside or replace traditional therapists. My research project aims to answer the question: What aspects of chatbots used for therapy do young adults value most, and what qualities do they perceive are missing? This will be a confirmatory study to discover if the benefits of using chatbots for therapy that are mentioned in literature are actually what users value the most. As well as listening to what aspects they feel chatbots lack in. The intended outcome is a deeper understanding of how young adults perceive and use AI chatbots for therapy.

Presenter(s): Justin Burr

Showcase Advisor: Richard Rose

Abstract: As small and under-resourced State, Local, Tribal, and Territorial (SLTT) governmental organizations face increasing cyber threats; adopting a Zero Trust Architecture (ZTA) has become a security imperative. However, these entities often encounter systemic barriers that impede implementation. This research first identifies the specific technical, financial, and administrative hurdles that resource constrained SLTT organizations typically encounter. Building on this gap analysis, the study evaluates the efficacy of the Center for Internet Security (CIS) Controls and Benchmarks as a strategic framework for overcoming these obstacles. By testing the hypothesis that CIS frameworks provide a measurable improvement in ZTA adoption readiness, this research aims to provide a scalable roadmap for small SLTT government agencies. The findings will determine whether standardized security controls can effectively help to bridge the gap between limited institutional capacity and the rigorous demands of a Zero Trust model, ultimately strengthening the resilience of SLTT digital infrastructure.

Presenter(s): AJ Alterado

Showcase Advisor: Jennifer Goodall

Abstract: My presentation will explore how gamification can improve engagement and motivation among college students. Gamification refers to the use of game like elements such as points, badges, levels, and leaderboards in non game environments like classrooms. Many instructors have already begun incorporating gamified activities to make learning more interactive and enjoyable for students. Sites like Kahoot! allow educators to turn traditional quizzes into competitive and engaging experiences that encourage participation. And also some modern learning platforms use A.I. to track student performance and personalize learning experiences, which can further enhance gamified learning environments. My presentation will examine how gamification can increase student motivation, participation, and overall engagement with the course materials. It will also briefly address potential limitations, such as students may focus more on rewards than the learning process itself. Overall, I will highlights how gaming strategies can support learning when used effectively in college classrooms.

Presenter(s): Sean Anderson

Showcase Advisor: Jennifer Goodall

Abstract: how games and gameified learning tools are used to support a college student's learning. I want to explore how the game-based elements like the challenges, rewards, and interactive learning can help to improve student engagement, understanding, and learning.

Presenter(s): Sidra Khalid

Showcase Advisor: Rawan Almakinah

Abstract: Artificial Intelligence (AI) is transforming cybersecurity by improving organizations detection and response to cyber threats. Traditional security systems often struggle to identify new and complex attacks because they rely heavily on predefined rules. AI technologies such as machine learning allow systems to analyze large volumes of data and identify unusual patterns that may indicate cyberattacks. We will explore how AI is used in cybersecurity for threat detection, malware analysis, and network monitoring. It highlights the historical development of AI in cybersecurity and major technological milestones that have improved automated security systems.

Presenter(s): Ryan Hammond

Showcase Advisor: Jennifer Goodall

Abstract: Retrieval Augmented Generation (RAG) is an emerging artificial intelligence approach that enhances large language models by combining traditional generation processes but providing them access to additional context and information. Instead of relying solely on information stored in a model’s training data, RAG systems retrieve relevant documents from databases or knowledge sources and incorporate them into the generation process.

This improves accuracy and relevance, as well as reduces hallucination of AI-generated responses. RAG is particularly valuable in applications that require up-to-date or domain-specific information, such as cybersecurity analysis, enterprise knowledge management, healthcare decision support, and customer service automation. By integrating retrieval with generation, RAG enables AI systems to deliver more trustworthy, context-aware, and up to data information while not requiring retraining to update information.

Presenter(s): Jimmy Santiago

Showcase Advisor: Jennifer Goodall

Abstract: First-generation college students—typically defined as students whose parents have not completed a four-year degree—confront distinct and layered barriers in higher education. This presentation examines three interconnected domains of challenge: academic preparation and navigation, financial insecurity, and social-emotional strain. Academically, first-generation students are often less familiar with institutional norms and support systems, which can limit their effective use of advising, tutoring, and faculty office hours. Financially, they disproportionately come from low-income households and frequently balance significant work responsibilities with full-time study. Socially and emotionally, they commonly report a reduced sense of belonging, imposter feelings, and tension between home expectations and campus culture. Together, these factors help explain gaps in persistence and completion and underscore the need for intentional institutional practices that support first-generation students beyond initial access to college.

Presenter(s): Andrew Ayensu

Showcase Advisor: Abdullah Canbaz

Abstract: Can creative AI be used to suggest new body and interior features for upcoming car models?

Presenter(s): Leandra Tomlinson

Showcase Advisor: Abdullah Canbaz

Abstract: A presentation discussing the future of deepfakes, with legal implications of deepfakes and how it will impact the future.

Presenter(s): Arianna Galante

Showcase Advisor: Angel Ford

Abstract: My research focuses on how libraries serve individuals with both visible and invisible disabilities. Many libraries organize spaces and programs strictly by physical age, such as children’s, teen, and adult areas. However, there is little research on how this affects individuals whose developmental or cognitive age differs from their physical age. A gap in research exists in understanding how libraries can create more flexible and inclusive spaces that better support developmental differences without causing stigma. Therefore, my study will address this gap in research.

Presenter(s): Lexandra Carames

Showcase Advisor: Jennifer Goodall

Abstract: This paper examines the experiences of first-generation college students and the challenges they face when navigating the unwritten expectations of higher education. First-generation students, defined as individuals whose parents did not complete a four-year college degree, often enter college without access to the informal knowledge that many continuing-generation students receive from family members. These unspoken expectations, often referred to as the “hidden curriculum,” include understanding how to communicate with professors, use academic resources, and pursue internships or research opportunities. Without prior exposure to these norms, first-generation students may encounter additional academic and social barriers while adjusting to college environments. This paper explores how the hidden curriculum contributes to these challenges and discusses ways colleges can better support first-generation students through mentorship, advising, and increased awareness of these invisible expectations.

Presenter(s): Dhruv Patel

Showcase Advisor: Jennifer Goodall

Abstract: Video games are an increasingly important part of college student life, especially on campuses that support gaming communities and esports programs. At the University at Albany (UAlbany), the presence of the esports arena highlights how gaming can contribute positively to student engagement and campus culture. This paper explores how gaming can benefit college students by building community, developing cognitive and teamwork skills, and providing stress relief. While excessive gaming may negatively affect academic performance, moderate and structured gaming activities can enhance student experiences. Overall, gaming and esports can serve as valuable tools that support social interaction, skill development, and balance in college life.

Presenter(s): Jimmy Huh

Showcase Advisor: Ayesha Rouf

Abstract: A demonstration of the website I made for my CINF 201 final project

Presenter(s): Dhruv Bhotia

Showcase Advisor: Sarah Lauser

Abstract: In this poster, I outline a planned study to investigate how standardizing goals of care notes in electronic health records (EHRs) affects conversations about end-of-life care. It includes a review of previous research, suggested methods and analysis, and a discussion of the study's limitations and ethical considerations. This study is essential because unstructured EHR formats often contain crucial data that is needed to provide patient-centered care. Shared decision-making is hampered by this structural defect. This study shows how informatics may prioritize patient narratives to smoothly direct healthcare workflows by assessing centralized goal-of-care frameworks.

Presenter(s): Isabella Maccera

Showcase Advisor: Jennifer Goodall

Abstract: Video games are often associated with entertainment, yet they involve interactive systems that may relate to the development of academic skills. This paper examines the relationship between video game engagement and academic skill development in higher education. It explores how gaming environments involve strategic thinking, rapid decision-making, problem-solving, and collaboration, skills that are also relevant to academic contexts. The study reviews existing research on cognitive flexibility, media usage among students, and the increasing role of gamification and game-based learning in education. The paper also considers the educational use of platforms such as Minecraft, which has been incorporated into learning environments to encourage creativity, engagement, and teamwork.

Presenter(s): Alicia Stowell

Showcase Advisor: Angel Ford

Abstract: Reading is foundational for all other types of learning. The motivation for a student to read has a lasting impact on their achievements. The research thus far has examined the influence of parents, schools, and individual factors on a student’s motivation to read. However, less attention has been given to the interaction between these factors. This research proposal uses a quantitative design to show if there are correlations between reading motivation and parental support, teacher autonomy support, and student self-concept.

Presenter(s): Jose Munoz

Showcase Advisor: Jennifer Goodall

Abstract: College education has changed a lot with the growth of online learning. I completed my entire college education online, and this presentation will explore the flexibility, benefits, and challenges that come with that experience. Online learning allows many students to balance school with work, family, and other responsibilities. At the same time, it can create challenges such as staying motivated, managing time, and feeling connected to professors and classmates. I will also briefly discuss how new tools like artificial intelligence can both support learning and create new concerns. Finally, I will reflect on my own experience completing my degree online and how it shaped my college journey.

Presenter(s): Sydney Contreras

Showcase Advisor: Angel Ford

Abstract: While DVDs and Blu-Rays may seem like they are breathing their last dying breaths, in the current age of streaming, where licenses are both finite and costly, physical media collections have become hugely significant to a library’s ability to have a stable and comprehensive collection of media. In light of this reality, it is worth bringing more attention to the way we organize physical media collections in academic libraries. This research proposal aims to shed light on the media collection strategies currently being employed across academic libraries through the use of a qualitative, case study research approach.

Presenter(s): Logan Drake

Showcase Advisor: Jennifer Goodall

Abstract: This presentation addresses the mental health challenges faced by university students, their impacts on student life and academics, and all the challenges students face in their university life, such as earning good grades, paying tuition, making friendships, and career expectations. Responsibilities and uncertainties of life lead many students to develop mental health issues, including depression, anxiety, stress, and burnout. National and international mental health studies pertaining to university students repeatedly show a worsening trend every year. This presentation will discuss primary challenges students face and how these challenges prevent students from concentrating, learning, and achieving their academic goals. University mental health resources, such as university counselling, university mental health outreach and support, and peer-to-peer university mental health support are discussed in this presentation as resources that can be expanded to improve student mental health.

Presenter(s): Christina Adcock

Showcase Advisor: Jennifer Goodall

Abstract: Paper on UAlbany resources to utilize when getting degree

Presenter(s): David Olowolabi

Showcase Advisor: Rawan Almakinah

Abstract: This presentation examines reinforcement learning (RL) as a framework for training AI agents in video game environments, with specific focus on DeepMind's Deep Q-Network (DQN) architecture applied to 49 Atari 2600 games. We will analyze three core research questions: whether a single neural network can learn generalizable strategies across diverse game environments from raw pixel input alone; where RL succeeds and critically where and why it fails; and what these results tell us about the scalability and limitations of reward-based learning systems.  

Key finding: DQN outperformed human experts on 29 of 49 games but failed systematically on games requiring long- horizon planning, revealing a structural constraint in reward signal-based learning that remains an open problem in AI research.

Presenter(s): James Garriques

Showcase Advisor: Jennifer Goodall

Abstract: My presentation is going to describe my experience as a peer educator and writing on, what it was like for me back when I was in the class and how different it is. I will touch upon how students are viewed due to skin color sexuality etc. And it will be through the lens of a Peer educator.

Presenter(s): Alex Gomez

Showcase Advisor: Jennifer Goodall

Abstract: This presentation will be talking about the roles of peer education in supporting students in cybersecurity courses. As a peer educator myself I peer for CYBR 453 and I worked with students to help them better understand the course. Peer education creates an environment where students can ask for help with the couse. This can improve communication and would help students to understand and engage more actively in their learning. 

Throughout this, I help students with problem solving, and explaining cybersecurity topics, and supported the instructor by having support and helping with the course materials for the students. In this presentation I will discuss the responsibilities as a peer educator, the challenges and the impact peer mentoring can have on a student performance. The project will show how peer education can strengthen learning communities and improve the overall educational experience for cybersecurity students.

Presenter(s): Sheilla Regina Mbogo

Showcase Advisor: Rawan Almakinah

Abstract: Artificial intelligence is increasingly used by financial institutions to detect and prevent fraudulent transactions. This project examines how AI systems analyze large amounts of financial transaction data to identify suspicious patterns and unusual behavior in real time. Banks, credit card companies, and digital payment platforms use these technologies to improve financial security and reduce fraud-related losses. AI-driven fraud detection systems can efficiently process millions of transactions and spot patterns that traditional rule-based systems might miss. However, these systems can also generate false positives that impact legitimate transactions. This research evaluates the effectiveness of AI in fraud detection and its role in enhancing financial security within modern digital banking systems.