I am a Ph.D. candidate in Business Administration (Management Information Systems) at the University of Massachusetts Lowell. My research focuses on Explainable AI, Interpretable Machine Learning, Human-AI Decision Making, and Large Language Models, utilizing methodologies such as Machine Learning, Text Mining, Econometrics, and Optimization. I am passionate about developing trustworthy AI systems and welcome opportunities for collaboration.
October 2024: Presented "Risk-Sensitive Counterfactual Explanations for Machine Learning Model Predictions" at CIST 2024, Seattle, WA.
January 2025: Paper accepted at HICSS 2025: "Leveraging Explainable AI for Robust Decision-Making: Explaining the Uncertainty Surrounding Missing Data."
Fall 2024: Teaching "Data Mining for Business Intelligence" at UMass Lowell.
Authors: Asrzad, A., Li, X.-B., Sarkar, S.
Venue: Proceedings of the 45th International Conference on Information Systems (ICIS 2024), Bangkok, Thailand, December 2024
Authors: Asrzad, A., Li, X.-B.
Venue: Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS 2025), Hawaii, USA, January 2025