Devika Subramanian's research interests are in artificial intelligence and machine learning and their applications in computational systems biology, neuroscience of human learning, assessments of hurricane risks, network analysis of power grids, mortality prediction in cardiology, conflict forecasting and analysis of terrorist networks, and analysis of unstructured text data.
WEBSITE(S)| Research Site
Research Areas
Artificial intelligence, statistical machine learning, natural language processing, algorithms and tools for predictive modeling in engineering and in the natural and social sciences: hurricane wind damage risk, clinical cardiology, signaling networks in systems biology, conflict prediction from wire news
Education
PhD, Computer Science, Stanford University (1989)
MS, Computer Science, Stanford University (1984)
BTech, Computer Science and Electrical Engineering, Indian Institute of Technology Kharagpur (1982)
Honors & Awards
2009: Invited Plenary Speaker, Heart Failure Society of America
2006-2008: Microsoft Research ERP Board Member
2007: Invited Plenary Speaker, International Joint Conference on Artificial Intelligence
2007: Invited Speaker, Grace Murray Hopper Conference
2002: CRA Distinguished Lecturer, University of Washington
2001: IJCAI Advisory Board
2001: Invited Speaker, NCARAI, Naval Research Laboratories
2000: Julia Miles Chance Prize for Excellence in Teaching, Rice University
1997-2001: Editorial Board, Journal of AI Research
1999: Technical Program co-Chair, AAAI