Dr. Honavar Vasant

Dr. Honavar Vasant

Program Director

Information Integration and Informatics at National Science Foundation
Washington , United States of America

plus Speciality



Program Director for the Information Integration and Informatics program in the Division of Information & Intelligent Systems (IIS) of the National Science Foundation; Professor of Computer Science and of Bioinformatics and Computational Biology and Director of the Center for Computational Intelligence, Learning, and Discovery at ISU. Made foundational research contributions (documented in over 200 peer-reviewed publications) in algorithms for constructing predictive models from sequence, image, text, multi-relational, graph-structured data; Scalable algorithms for building predictive models from large, distributed, semantically disparate data sets; Applications in bioinformatics, computational biology, immunoinformatics, energy informatics, health informatics and social informatics; Federated knowledge bases and services; Representing and reasoning about preferences. Supervised 28 Ph.D. students, 6 postdoctoral fellows, 25 Masters students and 16 undergraduate research students; Provided leadership for research and research-based graduate training programs; Developed curricula and taught courses in Artificial Intelligence, Machine Learning, Neural Computation, Semantic Web, Computational Functional Genomics and Systems Biology; Research projects funded by the NSF, NIH, and the USDA. Advising and consulting. Interested in: Cutting edge research in machine learning, data mining, artificial intelligence, semantic web, and informatics and high-impact applications in science, humanities, and engineering; Introducing algorithmic thinking across curricula in sciences and humanities; Establishing interdisciplinary academic and research programs; Technology transfer, consulting, advising, and startups; Projects that improve the human condition by alleviating poverty, expanding access to education and healthcare, enhancing participatory democracy, and developing sustainable lifestyles and promoting responsible use of digital technologies.

Academic positions:

Education: 1. 1985 – 1990:University of Wisconsin-Madison Ph.D., Computer Science, Cognitive Science 2. 1989: University of Wisconsin-Madison MS, Computer Science 3. B. M. S. College of Engineering B.E., Electronics Engineering 4. Bangalore University BE, Electronics Engineering 5. Drexel University MS, Electrical and Computer Engineering Experience: 1. September 2010 – Present (1 year 10 months): Program Director, Information Integration and Informatics Program at National Science Foundation 2. July 2005 – Present (7 years): Director, Center for Computational Intelligence, Learning, & Discovery at Iowa State University 3. August 2001 – Present (10 years 11 months): Professor of Computer Science at Iowa State University 4. August 2001 – Present (10 years 11 months): Professor of Bioinformatics and Computational Biology at Iowa State University 5. August 1990 – Present (21 years 11 months): Director of Artificial Intelligence Research Laboratory at Iowa State University 6. August 2003 – July 2005 (2 years): Chair, Bioinformatics and Computational Biology Graduate Program at Iowa State University 7. August 2001 – May 2002 (10 months): Visiting Professor of Biomedical Informatics and Biological Statistics at University of Wisconsin-Madison 8. August 1998 – July 2001 (3 years): Associate Professor of Bioinformatics and Computational Biology at Iowa State University 9. August 1996 – July 2001 (5 years): Associate Professor of Computer Science at Iowa State University 10. September 1998 – December 1998 (4 months): Visiting Professor at Carnegie Mellon University 11. August 1990 – July 1996 (6 years): Assistant Professor of Computer Science at Lowa State University

Research interests:

Artificial Intelligence, Machine learning, Data Mining, Information Integraton, Knowledge Representation, Semantic web, Ontologies, Service-Oriented Computing, Bioinformatics, Computational Biology, Systems Biology; Biomedical, health, security, energy, and social informatics applications. Artificial Intelligence, Machine Learning and Bioinformatics curricula; Research-based graduate and undergraduate training; Academic and research program leadership;Technology Transfer; Strategic Planning.

Any other information:

Publications: 1. Predicting protein-protein interface residues using local surface structural similarity. 2. Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. 3. Protein-RNA Interface Residue Prediction Using Machine Learning: An Assessment of the State of the Art. 4. Predicting MHC-II binding affinity using multiple instance regression. 5. PRIDB: A Protein-RNA Interface Database. 6. Learning Relational Bayesian Classifiers from RDF Data. 7. Predicting RNA-Protein Interactions Using Only Sequence Information. 8. Representing and Reasoning with Qualitative Preferences for Compositional Systems. 9. Verifying Intervention Policies for Countering Infection Propagation over Networks: A Model Checking Approach. 10. Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction. 11. PSpace Tableau Algorithms for Acyclic Modalized ALC. 12. On the Utility of Curricula in Unsupervised Learning of Grammars. 13. Exemplar-based Robust Coherent Biclustering. 14. HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods. 15. Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies

What I think of the idea behind WebmedCentral and WebmedCentral plus: