Arindam Ray

Areas of Expertise

Business Analytics, Data Analytics, Machine Learning, Deep Learning, Generative AI, Responsible AI, AI fairness, AI for social good, Industry 4.0

Biography

Dr. Arindam Ray is an Assistant Professor of Information Systems at Bryan School of Business and Economics at the University of North Carolina Greensboro. Arindam earned his Ph.D. in Business Administration with a concentration in Information Systems from the University of South Florida. His research focuses on advanced artificial intelligence and machine learning to address critical issues in business and society. His research has been published in leading IS journals such as Journal on Computing, and Journal of Business Analytics and presented at leading IS conferences worldwide. Arindam also brings rich experience from the Information Technology industry where he worked for more than two decades prior to joining academia.

Education

• Ph.D. in Business Administration from the University of South Florida. (2024)
  Concentration: Information Systems.
• M.S. in Analytics from the Georgia Institute of Technology. (2020)
• M.B.A. in Business Administration from the Indian Institute of Management Bangalore. (2008)
  Concentration: Strategy & Policy.
• B.E. in Electronics and Telecommunication Engineering from Jadavpur University. (1997)

Research/Publications

Publications

• Ray, A., Jank, W., Dutta, K., & Mullarkey, M. (2023). An LSTM+ model for managing epidemics: Using population mobility and vulnerability for forecasting COVID-19 hospital admissions. INFORMS Journal on Computing, 35(2):440-457. (IT artifact also deployed in practice)
• Ray, A., Jank, W., & Dutta, K. (2022). Impact of mobility based network on COVID-19 spread. Journal of Business Analytics, 5(2), 179-187.

Conference Presentations

• Ray, A. & Padmanabhan, B. Systemic Fairness and College Admissions. Workshop of Information Technology and Systems (WITS), 2023
• De Oliveira Silveira, A., Ray, A., Ebrahimi, M., & Bhattacherjee, A. Automated Deductive Content Analysis of Text: A Deep Contrastive and Active Learning Based Approach. International Conference for Information Systems (ICIS), 2023
• Ray, A., Padmanabhan, B., & Bouayad, L. Systemic Fairness and Opportunities for Recommender Systems. Informs Workshop on Data Science (WDS), 2023
• Ray, A. & Dutta, K. A cross-domain recommendation approach integrating offline and online behavior. Workshop of Information Technology and Systems (WITS), 2022
• Ray, A. Designing a decision support framework for fair lending. International Conference on Design Science Research in Information Systems and Technology (DESRIST), Doctoral Consortium, 2022
• Ray, A. & Padmanabhan, B. Fairness in Machine Learning Algorithm in Consumer Lending. Workshop of Information Technology and Systems (WITS), 2021
• Ray, A., Kimia, K., Jank, W., Dutta, K., & Mullarkey, M. Towards a long short-term memory network model for forecasting COVID-19 hospital admissions. Workshop of Information Technology and Systems (WITS), 2020
• Ray, A., Kimia, K., Jank, W., Dutta, K., & Mullarkey, M. Data-driven demand management for hospitals during pandemics: Forecasting COVID-19 admissions based on population mobility and social vulnerability. Informs Workshop on Data Science, 2020

Curriculum Vitae