Ashok N. Srivastava, Ph.D. is the Principal Investigator for the Integrated Vehicle Health Management research project at NASA. His current research focuses on the development of data mining algorithms for anomaly detection in massive data streams, kernel methods in machine learning, and text mining algorithms.
Dr. Srivastava 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 performs data mining research in a number of areas in aviation safety and application domains such as earth sciences to study global climate processes and astrophysics to help characterize the large-scale structure of the universe.
Dr. Srivastava is the author of many research articles in data mining, machine learning, and text mining, and has edited a book on Text Mining: Classification, Clustering, and Applications (with Mehran Sahami, 2009). He is currently editing two more books: Advances in Machine Learning and Data Mining for Astronomy (with Kamal Ali, Michael Way, and Jeff Scargle) and Data Mining in Systems Health Management (with Jiawei Han).
Dr. Srivastava has given seminars at numerous international conferences. He has a broad range of business experience including serving as Senior Consultant at IBM and Senior Director at Blue Martini Software. 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 for contributions to state-of-the-art data mining and analysis, the NASA Distinguished Performance Award, several NASA Group Achievement Awards, the IBM Golden Circle Award, and the Department of Education Merit Fellowship. He holds a Ph.D. in Electrical Engineering from the University of Colorado Boulder.