Ashok Srivastava

Ashok N. Srivastava, Ph.D. is the Chief Data Scientist at Verizon. He leads a new research and development center in Palo Alto focusing on intelligent systems powered by big data and analytics. He is a Consulting Professor at Stanford in the Electrical Engineering Department (Sept 2014-Aug 2015) and is the Editor-in-Chief of the AIAA Journal of Aerospace Information Systems. Ashok 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).

Formerly he was the Principal Scientist for Data Sciences at NASA Ames Research Center and led the System-Wide Safety and Assurance Technologies project at NASA which has a 5 year budget of nearly $150M.

Ashok has significant experience in the internet, adtech, e-commerce, banking, finance, and securities areas. He has lead major engagements as a private consultant and as Senior Director at Blue Martini Software and Senior Consultant at IBM. He is a thought leader in the area of big data analytics, social media, optimization, machine learning, and data mining and has given presentations worldwide on these subjects. He served as a Venture Advisor focusing on big-data analytics at Trident Capital, and was on the advisory board of several startups.

Ashok is the author of over 100 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 won 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 UC Boulder, the IBM Golden Circle Award, and the Department of Education Merit Fellowship.

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