I’m very pleased to announce the release of our new book on the applications of machine learning in the Earth Sciences. Here’s the link on Amazon
The Man Who Makes Machines Smarter : An article summarizing my role and vision at Verizon A Press Release about the new Verizon Labs in Palo Alto. We are hiring!
High-level recognition from NASA regarding our work in Vehicle Level Reasoning that appeared in the recent FY15 NASA Management and Performance Report (page 101): “NASA and its partners established the technical feasibility of a vehicle-level prognostic reasoning system. This system would offer an onboard capability to provide additional warning about potential aircraft system failures that could … Continue reading "Recognition for Vehicle Level Reasoning System"
Piscataway, New Jersey, USA, January 2014: Ashok N. Srivastava, Ph.D. from has been named an IEEE Fellow. He is being recognized for “leadership and contributions in data mining to enhance the safety of aerospace systems.” The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record … Continue reading "Ashok N. Srivastava elected as IEEE Fellow"
I’ve moved from NASA and am now the Chief Data Scientist at Verizon. I’m starting a new lab in downtown Palo Alto and we are hiring! If you are interested please send me a note. We will be focusing on big data R&D in a number of key verticals. The data sets are massive and … Continue reading "Chief Data Scientist at Verizon"
Earlier this month, Ashok Srivastava was elected to the grade of Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA). AIAA Associate Fellows are individuals of distinction who have made notable and valuable contributions to the arts, sciences, or technology of aeronautics or astronautics. Dr. Srivastava will receive the honor during the AIAA Associate Fellow Dinner … Continue reading "Ashok N. Srivastava Elected AIAA Associate Fellow"
Advances in Machine Learning and Data Mining for Astronomy Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, … Continue reading "Advances in Machine Learning and Data Mining for Astronomy"
Machine Learning and Knowledge Discovery for Engineering Systems Health Management Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. With contributions from many top authorities on the subject, this volume is the first to … Continue reading "New Book!"
CIDU 2012 The 2012 Conference on Intelligent Data Understanding (CIDU 2012) is organized under the theme of “Bringing Data and Models Together” and will attract top researchers and practitioners in the field of data mining focusing on applications to Earth & Environmental Systems, Space Science, and Aerospace & Engineering Systems. The Organizing Committee is soliciting theme-oriented papers … Continue reading "CIDU 2012"