I am a Research Staff Member at the Department of Distributed Cognitive Systems, IBM T.J. Watson Research Center, Yorktown Heights, NY. I work on serveral projects on distributed AI and edge computing, distributed topic modeling, acoustics AI. My past projects are: cognitive education specializing in personalized learning, knowledge induction, multi-modal conversational systems, recommendation, and visualization; AI supported creativity for recipe generation -- Chef Watson. I received my Ph.D. in information science from 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.
My research interests include intelligent user interfaces including distributed AI, visualization and interpretability of machine learning models, user modeling, personalization, text data mining, and recommender systems.
I have participated in several projects on user behavior visualization and recommendation, open user profile for news recommendation, adaptive visualization for recommender/information retrieval systems, adaptive visualization for educational resources, knowledge structure visualization, and temporal network visualization.
Transparent and user-controllerable news recommender model (Open user profiles)
Adaptive visualization for personalized learning -- Visually explain the rational for recommendation and search
Network evolution -- explore and analyze temporal network changes
Adaptive Quiz visualization