Ashok Srivastava

Member since: Jan 05, 2014, Verizon

  • Title (edit)
    Chief Data Scientist
    Affiliations (edit)
    Verizon

Personal Website: http://ashoksrivastava.com

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 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. 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 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 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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Last Added Resources

  • Towards Software Health Management with Bayesian Networks

    A Publication, Ashok Srivastava's Collection - 6 years, 10 months ago

    Shared By: Ashok Srivastava

    As software and software intensive systems are becoming increasingly ubiquitous, the impact of failures can be tremendous. In some industries such as aerospace, medical devices, ...

    meatball
  • Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption

    A Publication, Virtual Sensors - 7 years ago

    Shared By: Ashok Srivastava

    Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a ...

    meatball
  • Towards Software Health Management with Bayesian Networks

    A Publication, Ashok Srivastava's Collection - 6 years, 10 months ago

    Shared By: Ashok Srivastava

    More and more systems such as aircraft, machinery, and cars rely heavily on software, which performs safety-critical operations. Assuring software safety though traditional V&V; has ...

    meatball

Ashok's Projects (16)

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