Published multiple papers such as 'ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks', 'Decoding Logs for Automatic Metric Identification', and holds several patents including 'Machine Learning To Emulate Software Applications', 'Transparent And Controllable Topic Modeling'.
Research Experience
He has participated in several projects on distributed AI and edge computing, log comprehension, distributed topic modeling, acoustics AI, cognitive education specializing in personalized learning, knowledge induction, multi-modal conversational systems, recommendation, and visualization; AI supported creativity for recipe generation -- Chef Watson.
Education
Received his Ph.D. from the University of Pittsburgh and worked as a postdoctoral NSF-CRA Computing Innovation Fellow at the Human-Computer Interaction Lab (HCIL), University of Maryland at College Park.
Background
A Research Staff Member at the Department of Distributed Cognitive Systems, IBM T.J. Watson Research Center, Yorktown Heights, NY. His research interests include intelligent user interfaces, distributed AI, visualization and interpretability of machine learning models, user modeling, personalization, text data mining, and recommender systems.