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Vasant Honavar

226 Atanasoff Hall, Department of Computer Science
Ames, Iowa, United States


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Vasant Honavar received his Ph.D. in Computer Science and Cognitive Science from the University of Wisconsin (Madison) in 1990 under the supervision of professor Leonard Uhr. He joined the Department of Computer Science at Iowa State University in 1990 where he is presently a full professor. He is also on the faculty of the Bioinformatics and Computational Biology, Neuroscience, and Information Assurance graduate programs as well as the Complex Adaptive Systems graduate minor. He is the Bioinformatics project director of the Computational Molecular Biology training group funded by a National Science Foundation IGERT (Integrative Graduate Education and Research Training) award at Iowa State University.

Honavar founded and directs the Artificial Intelligence Research Laboratory in the Department of Computer Science at Iowa State University. Some of the research in this laboratory has been supported through research grants from the National Science Foundation, the Department of Defense, the Department of Energy, Electric Power Research Institute, the John Deere Foundation, the Carver Foundation, Pioneer Hi-Bred Inc., the Iowa State University Council on International Programs, and Iowa State University, as well as fellowships and research assistantships funded by the IBM Corporation, Pioneer Hi-Bred Inc., and the Iowa State University Graduate College.

Honavar has published over 100 refereed papers in journals and conferences and 10 invited book chapters on these topics. He has also edited three books: Artificial Intelligence and Neural Networks: Steps Toward Principled Integration (with Prof. Leonard Uhr), published by Academic Press in 1994; Grammatical Inference (Lecture Notes in Computer Science Vol. 1433) (with Giora Slutzki) published by Springer-Verlag in 1998; Evolutionary Synthesis of Intelligent Agents (with his former Ph.D. student Karthik Balakrishnan and Mukesh Patel) published by MIT Press in 2001.

Honavar is an editor-in-chief of the Cognitive Systems Research which is published by Elsevier. Honavar is on the editorial board of Machine Learning journal. He guest edited (with Colin de la Higuera) a special issue of the Machine Learning on automata induction, grammar inference, and language acquisition. Honavar was the program chair for the Fourth International Colloquium on Grammatical Inference which was held at Iowa State University in Ames in July 1998 and the Conference on Computational Biology and Genome Informatics (CBGI 2002).

Honavar has organized several workshops, the most recent being the Workshop on Knowledge Discovery from Heterogeneous, Distributed, Dynamic, Autonomous Data Sources held in conjunction with International Joint Conference on Artificial Intelligence (IJCAI-2001), Workshop on Cognitive Agents and Multi-Agent Interactions held in conjuction with International Conference on Cognitive Science (ICCS 2001), Workshop on Learning from Sequential and Temporal Data, held in conjunction with the International Conference on Machine Learning (ICML 2000), the Workshop on Computation with Neural Systems, held in conjunction with the Sixteenth National Conference on Artificial Intelligence (AAAI 1999), and the Workshop on Automata Induction, Grammatical Inference, and Language Acquisition held in conjunction with ICML 1997. Honavar has given plenary and invited talks at several scientific conferences.

Honavar serves as a referee for several journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Expert, Connection Science, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks, Neural Computation, Information Sciences, IEEE Transactions on Knowledge and Data Engineering, Applied Intelligence, Evolutionary Computation, Machine Vision and Applications, Connection Science, and Neural Networks.

Honavar has served on program committees of numerous conferences, the most recent ones being the International Conference on Data Mining (ICDM 2003), International Conference on Intelligent Systems Design and Applications (ISDA 2003), International International Conference on Hybrid Systems (2002), Colloquium on Grammatical Inference (ICGI 2002), International Conference on Machine Learning (ICML 2001), International Conference on Neural Networks (ICNN 2001), National Conference on Artificial Intelligence (AAAI 99), World Congress on Neural Networks (WCNN 1996), International Conference on Machine Learning (ICML 1997).

Honavar has designed and taught graduate and undergraduate courses in Artificial Intelligence, Machine Learning, Neural Networks, Intelligent Agents and Multi-Agent Systems, and seminars in Cognitive and Neural Modeling, Data Mining and Knowledge Discovery, and Evolutionary Computation, Complex Adaptive Systems, and related topics. He has developed and presented tutorials on several topics in Intelligent Agents and Multiagent Systems, and Machine Learning, the most recent one being the Tutorial on Intelligent Agents and Multiagent Systems given at the 1999 IEEE Conference on Evolutionary Computation, and the Tutorial on Computational Learning Theory given at the 1997 Genetic Programming Conference at Stanford University.

Honavar is a member of Institution of Electrical and Electronics Engineers (IEEE), Association for Computing Machinery (ACM), American Association of Artificial Intelligence (AAAI), Cognitive Science Society, Society for Neuroscience, Neural Network Society, New York Academy of Sciences, and Sigma Xi and an associate of Behavior and Brain Sciences. He regularly serves as a consultant on topics in Artificial Intelligence and related areas.

Interests: Artificial Intelligence, Cognitive Science, Bioinformatics, Computational Molecular Biology, Medical Informatics, Machine Learning, Data Mining, Knowledge Discovery, Computational Neuroscience, Computational Learning theory, Neural Computation, Neural Ne

Published writer: Yes

Freelance: No


Published works:


  • Artificial Intelligence and Neural Networks: Steps Toward Principled Integration
  • Advances in the Evolutionary Synthesis of Intelligent Agents
  • Grammatical Inference