Najafabadi, Mahdi M.



Position: Postdoc Researcher and Instructor
Office: (518) 956-TBDX

Email
mnajafabadi@albany.edu
mahdi@alumni.albany.edu

Voice Mail
+1 (872) 228-7735

Book a Meeting

Education
PhD in Information Science, University at Albany, (Expected) 2019
MPA in IT Strategy & Management, University at Albany, 2014
MBA in Business Management, Sharif University, 2007
Bachelor of Software Engineering, University of Tehran, 2004

Academic Subfields
Managing Information and Information Technology (IT) in Sociotechnical Systems; Computer Modeling and Simulation for Sustainable Development and Learning; Applications of Infortmation Technologies to Reduce Social Gaps; Social Media, and Social/Organizational Network Analysis; and Enterprise Process Improvement and IT Project Management.

ITM 415 – Data Analytics in Business

Prerequisites: ITM 331 and ITM 322. Corequisite: ITM 434.

ITM 415 introduces participants to the importance of predictive analytics in today's business world and build competencies in data modeling and predictive analytics, which are a group of practices, technologies, and applications for analyzing data and building models to help businesses make better decisions. Most organizations are data-rich but information-poor. This course discusses how data mining technologies are used to transform "big data" into information to support tactical and strategic business decisions. Students will deepen their knowledge of statistical decision-making tools by developing data mining, data visualization and data analysis skills to extract knowledge hidden in large volumes of data. This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, classification and prediction.

The computer will be used extensively throughout the course and emphasis will be placed on the interpretation of results and the implementation of the analysis. The course is also pertinent to students with concentrations in marketing and sales, human resources, and other business areas who are preparing themselves for both the private and public sectors.

ITM 522 – Managing Information Technology

This required course for all MBA students is, simply stated, about managing IT to realize the full potential of investments in these technologies. The advent of the Personal Computer in the early eighties ushered the Information Age. In today's Internet Age, it is imperative for managers to get a good grasp of the role of IS/IT as a key enabler to achieve business objectives. The course will examine strategic as well as operational issues of IT management. The goal of this course is to cover major topics rather than be encyclopedic, so that a foundation is laid for learning as the field unfolds in the future.

ITM 215 – Information Technologies for Business

This course focuses on the role of information systems in solving business problems. The topics in the course will include fundamental of information technology (IT), Organizational Strategy using IT, Customer Relationship Management, Supply Chain Management, Elements of e-business, information security, and cyber-ethics. Students will understand the role and importance of IT/IS within organization and will develop business-oriented applications using Microsoft Excel (comprehensive / advanced level) to achieve a solid base for development of IT/IS applications in business, accounting, or other applications.

ITM 330 – Improving Business Performance with Information Technologies

Prerequisites: MAT 106 and ITM 215, MAT 108 or ECO 320.

ITM 330 covers databased design and development comprehensively. It includes theory, modeling, normalization, management, and administration. In this class students will use database technologies for developing business applications using relational database tools (e.g. Access, and Visual Basic for Applications (VBA). The specific tools used in the course may change over time, but the fundamentals will remain the same. The course will also engage students in learning the Structured Query Language (SQL) which the students will use in their application development. This course will help students to understand the importance of databases in an organization and to apply databases to new business problems. The class has a strong hands-on component that will involve extensive use of computers during the class and for homework assignments and projects.

ITM 331 – Business Systems Analysis and Design

Prerequisite: ITM 330.

This course covers the planning, specification of system requirements, analysis, design, and implementation of computer-based information systems using database concepts previously learned in B ITM 330. This course teaches both the traditional and object- oriented for creating data-driven application prototypes. Experience with system development is gained through several individual and group projects that integrate database technology with prototyping using software packages such as MS Access.

INF 305 – Digital (IT) Project Management

Prerequisites: INF 201 and INF 202

INF 305 is the one-stop course designed to give an overview of a spectrum of skills in which an IT project manager should be knowledgeable. The course is designed less in depth and more in extent to cover majority of what a project manager should take care of in an IT environment. It introduces the main concepts, concerns, tools and techniques, that an IT project manager should be equipped with; and leaves the in-depth extensive learning of them to other courses and professional trainings and certificates. The topics are mainly one of the following:
  • Project Management Body of Knowledge (PMBOK);
  • Software Development Lifecycle (SDLC);
  • Information Technology Infrastructure Library (ITIL); and
  • Some other essentials of Management Theory.

Course Information, Policies, Resources, and Outline (Generic version)

Research Interests

  • Managing Information and Information Technology (IT) in Sociotechnical Systems
  • Computer Modeling and Simulation for Sustainable Development and Learning
  • Applications of Infortmation Technologies to Reduce Social Gaps
  • Social Media, and Social/Organizational Network Analysis
  • Enterprise Process Improvement and IT Project Management


Select Publications

Luna-Reyes, L. F., & Najafabadi, M. M. (2019). The US open data initiative: The road ahead. Information Polity, 24(2), pp. 163–182.

Harrison, T., F. Luna-Reyes, L., Pardo, T., De Paula, N., Najafabadi, M., & Palmer, J. (2019). The Data Firehose and AI in Government: Why Data Management is a Key to Value and Ethics. In Proceedings of the 20th Annual International Conference on Digital Government Research (pp. 171–176). UAE, Dubai: ACM Press.

Najafabadi, M. M., Domanski, R. J. (2018). Hacktivism and Distributed Hashtag Spoiling on Twitter: Tales of the #IranTalks. First Monday, 23(4).

Najafabadi, Mahdi M., & Luna-Reyes, L. F. (2017). Modeling Open Government Data Ecosystems: A Closed-Loop Perspective. In Proceedings of the 50th Hawaii International Conference on System Sciences (pp. 2711–2720). Waikoloa Village, HI: IEEE Computer Society.

Najafabadi, Mahdi M. (2017). A Research Agenda for Distributed Hashtag Spoiling: Tales of a Survived Trending Hashtag. In Proceedings of the 18th Annual International Conference on Digital Government Research (pp. 21–29). Staten Island, NY: ACM Press.

Sayogo, D. S., Najafabadi, Mahdi M., Tayi, G. K., & Pardo, T. A. (2016). Privacy, Confidentiality, and Security Challenges for Interoperable Data Platforms in Supply Chains. In H. Jarman & L. F. Luna-Reyes (Eds.), Private Data and Public Value (pp. 109–128). Cham: Springer International Publishing.

Najafabadi, Mahdi M., Bahaddin, B., Deegan, M. A., Feyzi Behnagh, R., Luna-Reyes, L. F., Rich, E. H., & Andersen, D. F. (2015). Empowering Sustainable Decision Making: CoastalProtectSim in Action. In Proceedings of the 16th Annual International Conference on Digital Government Research (pp. 340–342). Phoenix, AZ.

Najafabadi, Mahdi M., Bahaddin, B., Feyzi Behnagh, R., Luna-Reyes, L. F., Andersen, D. F., MacDonald, R., … Rich, E. (2015). A Learning Science Protocol for Evaluation of a Sustainability-based Learning Environment. Presented at the 33rd International System Dynamics Conference, Cambridge, MA.

Tao, M., Najafabadi, Mahdi M., Augustine, W. A., Bahaddin, B., Cronemberger, F., Hull, K. A., … Andersen, D. F. (2015). A Multi-Method Approach to Advanced Data Analytics: Diabetes Geodynamic Information System. Presented at the 33rd International System Dynamics Conference, Cambridge, MA.

Najafabadi, Mahdi M., Sutherland, M., Cook, M., & Werthmuller, D. (2013). Revitalizing the capital district leveraging a regional code enforcement repository In Proceedings of the 14th Annual International Conference on Digital Government Research (pp. 275–276). Quebec City, Canada: ACM Press.(p. 275-276). ACM Press.

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Education

College of Emergency Preparedness, Homeland Security and Cybersecurity, University at Albany (SUNY)
PhD in Information Science – (Expected) 2019
Specialization: Information in Government and Society / Data Analytics

Rockefeller College of Public Affairs and Policy, University at Albany (SUNY)
Certification of Advanced Study (CAS) – 2016
Specialization: Public Policy and Planning

Master of Public Administration (MPA) – 2014
Specialization: Information Strategy and Management

Graduate School of Management and Economics (GSME), Sharif University
Master of Business Administration (MBA) – 2007
Concentration: Business Management

Electrical and Computer Eng. Dept., School of Engineering, University of Tehran
Bachelor of Computer Engineering – 2004

Concentration: Software Systems