University of Minnesota
Bio-Sketch
Vipin Kumar is currently William Norris Professor and Head of the Computer Science and Engineering Department at the University of Minnesota. He received the B.E. degree in electronics & communication engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the M.E. degree in electronics engineering from Philips International Institute, Eindhoven, Netherlands, in 1979, and the Ph.D. degree in computer science from University of Maryland, College Park, in 1982. Kumar's current research interests include data mining, bioinformatics and high-performance computing. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization (PSPASES) and graph partitioning (METIS, ParMetis, hMetis). He has authored over 200 research articles, and has coedited or coauthored 10 books including widely used text books ``Introduction to Parallel Computing" and ``Introduction to Data Mining'', both published by Addison Wesley. Kumar has served as chair/co-chair for many internaional conferences and workshops in the area of data mining and parallel computing, including IEEE International Conference on Data Mining (2002) and International Parallel and Distributed Processing Symposium (2001). In 2001, Kumar co-founded SIAM International Conference on Data Mining and served as its steering committee chair until 2007. Currently, Kumar serves on the steering committees of the SIAM International Conference on Data Mining, the IEEE International Conference on Data Mining and the IEEE International Conference on Bioinformatics and Biomedicine. Kumar is a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining, editor-in-chief of IEEE Intelligent Informatics Bulletin, and editor of Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. Kumar also serves or has served on the editorial boards of IEEE Transactions of Data and Knowledge Engineering, Data Mining and Knowledge Discovery, Knowledge and Information Systems, IEEE Computational Intelligence Bulletin, Annual Review of Intelligent Informatics, the Journal of Parallel and Distributed Computing, IEEE Concurrency (1997-2000), and IEEE Parallel and Distributed Technology (1995-1997). He is a Fellow of the ACM, IEEE and AAAS, and a member of SIAM. Kumar received the 2009 Distinguished Alumnus Award from the Computer Science Department, University of Maryland College Park, and 2005 IEEE Computer Society's Technical Achievement Award for contributions to the design and analysis of parallel algorithms, graph-partitioning, and data mining.
U.S. Centers for Disease Control and Prevention
Bio-Sketch
Sean V. Shadomy is a Medical Epidemiologist for the National Center for Zoonotic, Vector-borne and Enteric Diseases at the U.S. Centers for Disease Control and Prevention (CDC), where he is the principle epidemiologist for a number of zoonotic pathogens including anthrax and leptospirosis. He received both a Bachelor of Science in Zoology and Doctorate of Veterinary Medicine from Michigan State University. Afterward he served on active duty in the U.S. Army Veterinary Corps, included serving as the Veterinary Medical Officer for the 7th Special Forces Group (Airborne). He received his MPH from the University of Texas - Houston School of Public Health in 2000. From 2000 to 2003 he worked in vaccine safety surveillance and research at the Food and Drug Administration, Center for Biologics Evaluation and Research, and then at the National Immunization Program at CDC until 2004. His awards include the U.S. Army Meritorious Service Medal, the FDA CBER Center Director Award for Scientific Achievement, the DHHS Secretary's Award for Distinguished Service, and nomination for the 2009 CDC Charles C. Shepard Science Award. His professional and scientific interests include the development of cost-effective prevention and control strategies for zoonotic diseases, the ecology of emerging infectious diseases, and the relationship between infectious and immune-mediated diseases.
NASA Ames Research Center
Bio-Sketch
Ashok N. Srivastava, Ph.D. is the Principal Investigator for the Integrated Vehicle Health Management research project at NASA. The goal of the project is to develop technologies to detect, diagnose, predict, and mitigate adverse events during flight. Ashok is also the leader of the Intelligent Data Understanding group at NASA Ames Research Center. The group performs research and development of advanced machine learning and data mining algorithms in support of NASA missions. He is the lead researcher for numerous programs at NASA, including those involved with improving aviation safety, development of new technologies to improve the safety of next generation propulsion systems, fundamental studies in the earth sciences to understand climate change, and studies in astrophysics regarding the large-scale structure of the universe. Ashok has given seminars in numerous international conferences and recently gave a televised presentation of his work. Ashok has a broad range of business experience including serving as Senior Director at Blue Martini Software and Senior Consultant at IBM. In these roles, he led engagements with numerous Fortune Global 500 companies including Bank of America, Chrysler Corporation, Saks 5th Avenue, Sprint, Chevron, and LG Semiconductor. He has won numerous awards, including the NASA Exceptional Achievement Medal in 2007, one of NASA's highest awards, the NASA Distinguished Performance Award, several NASA Group Achievement Awards, the IBM Golden Circle Award, and the Department of Education Merit Fellowship.