ETEC Map Room showing weather patterns on the globe ETEC Map Room showing weather patterns on the globe

Artificial Intelligence at UAlbany:

Transforming the Future

The Albany AI Supercomputing Initiative delivers the high-speed computational power needed to design and test the latest generation of microchips, new AI algorithms and machine-learning systems

Launching the Next Generation AI Supercomputer Cluster for Education and Research

UAlbany leverages AI supercomputing power to tackle some of society’s biggest challenges in cybersecurity, climate science, health sciences and emergency preparedness. From post-pandemic health data analytics and robotic surgery to K-12 education and predicting severe weather, we are developing AI systems worthy of human trust.

$75M

NYS Funding

The Albany AI Supercomputing Initiative is supported by a $75 million investment from New York State. UAlbany will work to significantly expand the artificial intelligence supercomputing resources available in New York for teaching and research well beyond traditional STEM applications, including the arts and humanities.

Innovative AI in Education

The AI+X program will build the next generation of diverse, well-trained AI researchers and practitioners by infusing AI into all disciplines and adopting AI-assisted instructional methodologies. Students will gain access to AI knowledge and experiential learning through classroom and laboratory courses, micro-credentials, lab opportunities and research. Learn more about AI in Education at UAlbany

Partnerships

Our vibrant partnerships with government, education and industry provide opportunities to engage scientists, researchers, teachers and students, cultivating an innovation and investment ecosystem that will strengthen the Upstate economy and produce the highly skilled AI workforce New York needs. 

Research

UAlbany has AI and cybersecurity experts in diverse disciplines - computer science, information security, mathematics, electrical engineering, philosophy, public health, and emergency preparedness. UAlbany AI research is supported by the DoD, NSF, NIJ, DoE, NOAA, NSA, FEMA, NYSERDA, NYS DoT and several Global 500 corporations and private foundations.

AI and Machine Learning for Weather Prediction and Forecasting 

Weather

UAlbany, with its advanced mesonet, is a world leader in atmospheric science and climate research.

Our researchers have been awarded $2.4 million as a partner in the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), led by the University of Oklahoma, to develop AI-based technologies that will be used to better monitor and predict winter weather. AI2ES is one of the first 7 NSF National AI Institutes launched in 2020. 

Through a partnership with IBM, UAlbany's climate and weather experts are working to improve weather-based decision-making for New Yorkers. They are focused on the impact of weather and climate changes on transportation, renewable energy generation and sea level, which is rising across the globe due to the melting of polar caps. These projects focus on: 

  • Harmful algal bloom (HAB) detection and prediction in lakes and reservoirs  

  • Winter road weather maintenance and operations  

  • Impacts of severe flooding events (including improving advanced warning)  

  • Numerical Weather Prediction (NWP) collaboration utilizing NYS Mesonet data and IBM forecasting models and methods  

  • Renewable energy (solar and wind) generation forecasting 

Emergency Preparedness 

UAlbany is leading innovative research as well as collaborating with other universities to explore how artificial intelligence can be deployed to improve crisis decision-making to save lives and property. AI can be utilized to help manage a host of issues, including critical infrastructure disruptions, natural disasters and public health crises.  

We will make use of state-of-the-art UAlbany ETEC complex, with its unique situation room to replicate emergency operations scenarios. The facility allows for testing, simulating and validating first responder mobilization and end-user interactions with decision support systems.     

Human capacity for information processing in crises and emergency management will be substantially enhanced through artificial intelligence, large-data science and information communication technology.    

AI-augmented crisis decision-making can improve outcomes nationwide and beyond, protecting lives, property and trust in public institutions. 

Young man working in front of a computer command center

Trustworthy AI 

Three researchers working together on a computer at the Center for Technology in Government

Artificial intelligence has tremendous potential to increase efficiency and assist humans in all aspects of their lives. Before it becomes widely accepted, it needs to be deemed trustworthy. What structural and design features of an AI system make it trustworthy or untrustworthy? UAlbany’s philosophy, psychology, and mathematics experts are investigating human functions in moral contexts to determine the trustworthiness of artificial agents.   

Researchers received $100k in funding from the SUNY-IBM AI Collaborative Research Alliance to develop the foundations of a trustworthiness assessment framework for AI-driven systems. The projects seek to establish artificial intelligence that intrinsically realizes human values with implementations that empower people rather than manipulate them. 

Cybersecurity 

Intelligent security and privacy analysis are critical to thwarting social engineering attacks. UAlbany researchers are using automated techniques to assess the security and privacy behavior of applications. AI is essential to analyze the enormous body of communications data and recognize ominous patterns to protect against impending threats to cyber and national security. They are developing investigative tools that detect social engineering attacks and engage perpetrators in real-time conversation and disrupt nefarious plans.

Researchers working together in the VOST lab

Health Sciences 

Researchers having a discussion on the health sciences campus

Artificial intelligence and simulation, including agent-based modeling, system dynamics modeling, and social network analysis, provide important insights into the complex interrelationships that drive population-level outcomes. Traditionally applied to infectious disease modeling, UAlbany researchers are applying these algorithms to other problems such as violence, mental health, and chronic disease. 

In addition, our researchers have developed robust and efficient machine learning algorithms for application domains including the prediction of tumor growth and robotic surgery, allowing surgeons to complete precision procedures that would not be possible by hand. 

AI Experts
Rukhsana Ahmed
Associate Professor
College of Arts and Sciences; Communication
Mustafa Aksoy
Assistant Professor
College of Engineering and Applied Sciences; Electrical and Computer Engineering
Lisa Baranik
Associate Professor
School of Business
Ming-Ching Chang
Associate Professor
College of Engineering and Applied Sciences; Computer Science; Electrical and Computer Engineering
Alan Chen
Associate Professor
Chemistry; The RNA Institute
Justin Curry
Assistant Professor
Mathematics & Statistics
Jason D'Cruz
Associate Professor
Philosophy
Aveek Dutta
Assistant Professor
College of Engineering and Applied Sciences; Electrical and Computer Engineering
Laurie Feldman
Distinguished Professor
Psychology
Yunlong Feng
Assistant Professor
Mathematics & Statistics
J. Ramon Gil-Garcia
Professor
Public Administration & Policy; International Affairs; Rockefeller College of Public Affairs and Policy
Mila Gascó-Hernandez
Associate Professor & Research Director for the Center for Technology in Government
Public Administration & Policy; International Affairs; Rockefeller College of Public Affairs and Policy
Sanjay Goel
Professor
School of Business; Information Security and Digital Forensics
Boris Goldfarb
Professor and Director of Data Science Programs
Mathematics & Statistics
Jorge González-Cruz
Professor - Empire Innovation
Atmospheric Sciences Research Center; Atmospheric & Environmental Sciences
Thenkurussi (Kesh) Kesavadas
Vice President for Research and Economic Development
Executive Council
Kevin Knuth
Associate Professor of Physics
Physics
Arnoldas Kurbanovas
Lead Software Engineer - xCITE lab
Atmospheric Sciences Research Center
Melinda Larsen
Professor
Biological Sciences; The RNA Institute
Igor Lednev
Distinguished Professor
Chemistry; The RNA Institute
Michael Lesnick
Assistant Professor
Mathematics & Statistics
Ricky C. Leung
Associate Professor
School of Public Health; Health Policy, Management and Behavior
Shao Lin
Professor
School of Public Health; Environmental Health Sciences
Amirreza Masoumzadeh
Associate Professor
College of Engineering and Applied Sciences; Computer Science
Rabi Musah
Professor
Chemistry; The RNA Institute
Dola Saha
Assistant Professor
College of Engineering and Applied Sciences; Electrical and Computer Engineering
Kara Sulia
Research Faculty, Director of xCITE Lab
Atmospheric Sciences Research Center
Matthew Szydagis
Associate Professor
Physics
Christopher D. Thorncroft
Director, Atmospheric Sciences Research Center and Professor
Atmospheric Sciences Research Center; Atmospheric & Environmental Sciences
Melissa Tracy
Associate Professor
School of Public Health; Epidemiology & Biostatistics
David Turetsky
Professor of Practice
College of Emergency Preparedness, Homeland Security and Cybersecurity; Cybersecurity
Wei-Chyung Wang
Professor
Atmospheric Sciences Research Center
Zheng Yan
Professor & Division Director, Educational Psychology and Methodology
Educational & Counseling Psychology; School of Education
Felix Ye
Assistant Professor
Mathematics & Statistics
Penghang Yin
Assistant Professor
Mathematics & Statistics
Yuchi Young
Associate Professor
School of Public Health; Health Policy, Management and Behavior
Fangqun Yu
Senior Research Faculty
Atmospheric Sciences Research Center
Jianwei Zhang
Associate Professor
Educational Theory & Practice; School of Education
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