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Jin Tian Assistant Professor Office: 107 |
Research
My research interests are primarily in the area of artificial intelligence: Bayesian networks, probabilistic reasoning, causal reasoning and learning.
Current Grant
CAREER: Reasoning with Cause and Effect: Model Testing, Axiomatization, and Identification. National Science Foundation (2004-2009). $455,452.
Teaching
Spring 2008 ComS 573: Machine Learning
Fall 2007 ComS 472 Principles of Artificial Intelligence
Spring 2006,2007 Com S 363: Introduction to Database Systems
Spring 2003,2005,2007 Com S 673 -- Probabilistic and Causal Reasoning with Bayesian Networks
Spring 2004 Com S 672 -- COMPUTATIONAL MODELS OF LEARNING
Fall 2003,2004,2006 Com S 474 -- Elements of Neural Computation
Conferences