Computer Science, University of Maryland at College Park,
My main research interests are in the broad areas of machine learning, information acquisition, and decision theory. Specifically, I am interested in active learning, active inference, interactive machine learning, transparent machine learning, statistical relational learning, collective classification, and probabilistic graphical models. My recent TEDx talk (~8 minutes) gives a pretty good idea on what I am interested in: YouTube Link for Transparent and Interactive Artificial Intelligence. The abstract of my NSF CAREER award provides a succinct summary of what I work on: http://nsf.gov/awardsearch/showAward?AWD_ID=1350337.
I am the founder and director of
the machine learning laboratory @ Illinois Tech. More
information about my research group and recent projects can be
found at our laboratory
Our research is funded by:
Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan Matthews, David Nielsen, Nikunj Oza. Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2016.
Caner Komurlu, Jinjian Shao, Banu Akar, Elif S. Bayrak, Eric M. Brey, Ali Cinar, and Mustafa Bilgic. Active Inference for Dynamic Bayesian Networks with an Application to Tissue Engineering. Knowledge and Information Sytems (KAIS), June 2016.
Stuart Building, 228C
Computer Science Department
Illinois Institute of Technology
Chicago, IL 60616
Last updated on February 13th, 2017.