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General Information

Full Name Deepjyoti Deka
Languages English

Experience

  • 2024-present
    Research Scientist
    MIT Energy Initiative, MIT
    • Working on data-driven approaches for decarbonization of electric grid
  • 2022-2024
    Staff Scientist 3
    Theoretical (T) Division, Los Alamos National Laboratory, USA
    • Led projects on estimation in cyber-physical systems and optimization in infrastructure networks
    • Mentoring: 3 post-docs, 25 students
  • 2018-2022
    Staff Scientist 2
    Theoretical (T) Division, Los Alamos National Laboratory, USA
  • 2015-2018
    Post-Doctoral Associate
    Center for Nonlinear Studies (CNLS), Los Alamos National Laboratory, USA
    • Designed topology learning and control algorithms for distribution grids

Education

  • 2015
    PhD
    University of Texas at Austin, USA
    • Electrical and Computer Engineering
    • Dissertation: Analysis of the power grid; structure and secure operations
  • 2011
    MS
    University of Texas at Austin, USA
    • Electrical and Computer Engineering
  • 2009
    B.Tech
    IIT Guwahati, India
    • Electronics and Communication Engineering

Honors and Awards

  • 2022
    • Young Alumni Achiever Award, IIT Guwahati, India
  • 2021
    • Best Paper on ML Innovation at ICML Workshop on Tackling Climate Change with Machine Learning
  • 2015
    • Student Leadership Award by School of Engineering, University of Texas at Austin
    • Best Conference Papers on Cyber Security, Stability, and Protection at IEEE PES General Meeting
  • 2009
    • Institute Silver Medal for best graduating student in Electronics and Communication Engineering at IIT Guwahati.

Research Interests

  • Power Grids
    • Machine Learning aided Optimization for grid decarbonization
    • Efficient sensing for topology and parameter estimation in distribution grids.
    • Fair and reliable coordination of flexible grid resources
  • Machine Learning
    • Statistical Machine Learning in Networked Dynamical Systems
    • Security of Cyber-Physical Systems