Vasant G Honavar
Pennsylvania State University, USA
Professor and Edward Frymoyer Chair
Department of Bioinformatics & Genomics
Pennsylvania State University
Vasant G. Honavar is an Indian born American computer scientist, researcher, and professor and Edward Frymoyer Chair in the Penn State College of Information Sciences and Technology at Pennsylvania State University. He received his Ph.D. in 1990 from the University of Wisconsin–Madison, where he worked with Leonard Uhr. He is known for his research contributions in artificial intelligence, machine learning, data mining, knowledge representation, neural networks, semantic web, big data analytics, and bioinformatics and computational biology. He has published over 200 research articles as well as edited several books on these topics. His recent work has focused on scalable algorithms for constructing predictive models from large, semantically disparate distributed data, learning predictive models from linked open data, big data analytics, analysis and prediction of protein-protein, protein-RNA, and protein-DNA interfaces and interactions, social network analytics, secrecy-preserving query answering, representing and reasoning about preferences, and causal inference and meta-analysis. During 1990-2013, Honavar was professor of computer science and headed the Iowa State University Artificial Intelligence Research Laboratory. In 2006 he became director of the Iowa State University Center for Computational Intelligence, Learning and Discovery. He was also on the faculty of the interdepartmental graduate programs in Bioinformatics and Computational Biology (serving as Chair during 2003-2005), and Human-Computer Interaction. During 2010-2013, Honavar served as a Program Director in the Information Integration and Informatics program in the Information and Intelligent Systems Division of the Computer and Information Science and Engineering Directorate of the US National Science Foundation where he led the Big Data Program and contributed to several core and cross-cutting programs.
Transformative research in computing and information sciences and its applications in science, humanities, and engineering; Introducing algorithmic thinking across sciences and humanities;