基本信息
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职业迁徙
个人简介
Chief Scientist, Industrial Products & Distinguished Research Staff Member, March 2013- present, Mathematical Sciences, T. J. Watson Research Center, Yorktown Hts, NY 10598
Senior Manager, Aug 2007 - Feb 2013: Production Modeling, Business Analytics and Mathematical Sciences, T. J. Watson Research Center, Yorktown Hts, NY 10598
Founding Research Director, Sept 2010 - June 2012: IBM Research Collaboratory, Singapore, Focus: Analytics and Optimization for Smarter Cities.
Manager, Business Analytics and Optimization, June 2002 - July 2007, T. J. Watson Research Center, Yorktown Hts, NY 10598.
Research Staff Member Jan 1996 - current, T. J. Watson Research Center, Yorktown Hts, NY 10598.
Education:
Ph.D Carnegie Mellon University, Dept of Engineering & Public Policy
B.Tech. Indian Institute of Technology, Dept of Mechanical Eng
Areas of Expertise/Interest
Cognitive Analytics & Internet of Things (IoT):
IoT enables an unprecedent real-time access to data from distributed assets and the ability to trigger actions based on inferred condition of the asset or the overall (eco)-system. The two fundamental challenges are the ability to (i) contextualize the data streams into a meaningful semantic model, and (ii) analyze the data to learn interesting patterns that merit specific actions.
My current focus is to build solutions for heavy industries (heavy equipment manufacturers, production plants, connected devices etc) leveraging artificial intelligence, machine learning and knowledge representation. The first part of this effort is to understand, learn and build domain specific semantics that provide the lens needed to organize and contextualize the data streams. This effort borrows from AI (text analysis, knowledge engineering and representation) to (automatically) build domain semantic models. The next aspect is the use of machine learning techniques to learn from historical data (at the asset or system level) to understand the behavior and orchestration of assets - both in terms of normal and anomalous behavior. And finally learn from data what actions are effective under which conditions to iprove asset and system behavior and outcomes. Challenges addressed are big data analytics and machine learning targeted for sensor data.
研究兴趣
论文共 184 篇作者统计合作学者相似作者
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Santosh Palaskar,Vijay Ekambaram,Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar,Nam H. Nguyen,Pankaj Dayama,Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar,Jayant Kalagnanam,
AAAI 2024no. 21 (2024): 22962-22968
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)pp.109-117, (2024)
Santosh Palaskar,Vijay Ekambaram,Arindam Jati,Neelamadhav Gantayat, Avirup Saha,Seema Nagar,Nam H. Nguyen, Pankaj Dayama,Renuka Sindhgatta,Prateeti Mohapatra,Harshit Kumar,Jayant Kalagnanam,
CoRR (2023)
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AAAIno. 13 (2023): 16467-16469
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CoRR (2023)
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2023 AMERICAN CONTROL CONFERENCE, ACCpp.100-105, (2023)
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