Vasant Honavar

Vasant Honavar is an Indian American computer scientist, specializing in artificial intelligence. He received his Ph.D. in 1990 from the University of Wisconsin-Madison, where he worked with Leonard Uhr.

Vasant Honavar is a professor of Computer Science at Iowa State University. He heads the Iowa State University Artificial Intelligence Research Laboratory. He is the founding director of the Iowa State University Center for Computational Intelligence, Learning and Discovery. He is on the faculty of the interdepartmental graduate programs in Bioinformatics, Computational Biology, and Human-Computer Interaction at Iowa State University. He has held visiting professorships at Carnegie Mellon University and the University of Wisconsin-Madison.

Vasant Honavar is known for his research contributions in artificial intelligence, machine learning, neural networks, semantic web and bioinformatics and computational biology. He has published over 190 refereed research articles as well as several books on these topics. His recent work is focused on data integration and knowledge discovery from semantically heterogeneous data sources, learning from biological data, and modular ontologies.

Major works

# Vasant Honavar and Leonard Uhr. (Ed.) Artificial Intelligence and Neural Networks: Steps Toward Principled Integration. New York: Academic Press. 1994. ISBN 0-12-355055-6
# Vasant Honavar and Giora Slutzki (Ed). Grammatical Inference. Berlin: Springer-Verlag. 1998. ISBN 3-540-64776-7
# Mukesh Patel, Vasant Honavar and Karthik Balakrishnan (Ed). Advances in the Evolutionary Synthesis of Intelligent Agents. Cambridge, MA: MIT Press. 2001. ISBN 0-262-16201-6

External links

* [http://www.cs.iastate.edu/people/facultyview.jsp?fname=Vasant Official home page]
* [http://www.cs.iastate.edu/~honavar/ Personal home page]
* [http://www.cs.iastate.edu/~honavar/publist.html Publications]
* [http://www.cs.iastate.edu/~honavar/aigroup.html Artificial Intelligence Research Laboratory]
* [http://www.cild.iastate.edu/ Center for Computational Intelligence, Learning, and Discovery]