Dr. Ashok N. Srivastava

The Chief Data Scientist at Verizon, he leads a new research and development center in Palo Alto, California focusing on big data and analytics to build new revenue streams for Verizon. In this capacity he sets the strategic direction for big data and analytics for the corporation. He is the Editor-in-Chief of the AIAA Journal of Aerospace Information Systems. In addition, he is a Fellow of the IEEE, the American Association for the Advancement of Science (AAAS), and an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). In 1968 he received his M.Sc. (Physics) degree with specialization in Advanced Electronics from the University of Lucknow in India; and obtained his M.Tech. and Ph.D. degrees in Solid State Physics and Semiconductor Electronics area from the Indian Institute of Technology, in Delhi, India in 1970 and 1975, respectively. He also received a Ph.D. in Electrical Engineering from the University of Colorado, Boulder in 1996. In 1990 he joined the Department of Electrical & Computer Engineering of Louisiana State University, Baton Rouge as an Associate Professor and was Wilbur D. and Camille V. Fugler, Jr., Professor of Engineering. In 2011, he held visiting appointments at the Institute of Electrical Engineering NanoLab, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland; Katholiek Universiteit/Inter-university Microelectronics Center (IMEC), Leuven, Belgium; Indian Institute of Information Technology (IIIT), Allahabad; and in year 2001 at the Philips Research Laboratory, Eindhoven, The Netherlands. Prior to joining Verizon, he was the Principal Scientist for Data Sciences at NASA Ames Research Center in California's Silicon Valley where he was the Principal Investigator for the Integrated Vehicle Health Management research project at NASA. He led the System-Wide Safety and Assurance Technologies project at NASA which has a 5 year budget of nearly $150M. While at NASA his research focused on the development of data mining algorithms for anomaly detection in massive data streams, kernel methods in machine learning, and text mining algorithms. He was also the leader of the Intelligent Data Understanding group at NASA that performed research and development of advanced machine learning and data mining algorithms in support of NASA missions. He performed 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. He 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). Two additional books were published in 2012: Advances in Machine Learning and Data Mining for Astronomy (with Kamal Ali, Michael Way, and Jeff Scargle) and Machine Learning for Engineering Systems Health Management (with Jiawei Han). He has 5 patents awarded and several more under file. He has received numerous awards including the IEEE Computer Society Technical Achievement Award for, ?pioneering contributions to intelligent information systems?; the NASA Exceptional Achievement Medal for contributions to state-of-the-art data mining and analysis; the NASA Honor Award for Outstanding Leadership; the NASA Distinguished Performance Award; several NASA Group Achievement Awards, the Distinguished Engineering Alumni Award from U.C. Boulder, the IBM Golden Circle Award, and the Department of Education Merit Fellowship.