Tapan Shah

PhD, Computer Science (Tata Institute of Fundamental Research) BE, Electronics Engineering (National Institute of Technology, Surat)

Dr. Tapan Shah is a Senior Scientist in the Machine Learning Lab at GE Research. He has over nine years of experience in using machine learning for optimizing performance, efficiency and reliability of industrial assets and networks. Over the years he has partnered with GE Transportation and GE Healthcare to deploy solutions to real world problems which has created financial value of over $12MM. These include developing engine health digital twins for diesel locomotives and service optimization of CT and MR machines.

His current research interests include using machine learning for solving complex multi-agent optimization problems in constrained environments.  He is also deeply interested in understanding the fundamental information theoretic limits of learnable data. His research has a wide spectrum of applications ranging from data center optimization to wind farm optimization to power grid stability to cyber-security. 

He received the prestigious "5 under 5" award by the GE CTO for technical leadership in the areas of Machine Learning and Signal Processing. Tapan also received the "Best AI Product, 2018" award by GE Healthcare, India.  Tapan has authored 5 granted patents and 15 publications in peer-reviewed journals and conference proceedings in the areas of time series, reinforcement learning, signal processing and optimization. Prior to joining GE Research in 2014, Tapan was a PhD scholar (2008-13) at the School of Technology and Computer Science at the Tata Institute of Fundamental Research. He conducted research in signal processing and machine learning for data with low arithmetic precision. Outside of GE, Tapan is an affiliate mentor with Columbia Data Science Institute. He is also a reviewer for several ML and PHM conferences and journals like IAAI, ECML and PHM. He is a contributor to the draft on AI + Climate Change Policy Roadmap for Global Partnership on AI (GPAI) as well as member of IEEE SA committee on sustainability and technology. 

Ideas don’t make you rich. The correct execution of ideas does.

Felix Dennis
  1. 2013
    Joined GE Research as a graduate intern in Bangalore
  2. Joined GE Research as a Research Scientist
    2013
  3. 2014 timeline
    2014
    First Above and Beyond GE award
  4. Promoted to Lead Scientist
    2017
  5. 2018 timeline
    2018
    GE CTO Award 5 Under 5
  6. 2018 timeline
    Best AI Product GE Healthcare India
    2018
  7. 2019
    Joined Machine Learning Lab at GE Research in San Ramon
  8. Promoted to Senior Scientist
    2022
Tapan ’s Work
Publications
  1. S. Evans, T. Shah, and A. Pandey, "The Entropy Economy: A New Paradigm for Carbon Reduction and Energy Efficiency for the Age of AI," 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 1372-1377, doi: 10.1109/IEEECONF53345.2021.9723336.
  2. Jain, A., Shah, T., Yousefhussien, M. and Pandey, A., 2021. Combining Remotely Sensed Imagery With Survival Models for Outage Risk Estimation of the Power Grid. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1202-1211).
  3. Shah, T., Karnik, A. and Narayanan, B., 2019. An analytic approach to monitor main bearing health. Life Cycle Reliability and Safety Engineering, pp.1-6.

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