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General Information
Full Name | Deepjyoti Deka |
Languages | English |
Experience
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2024-present Research Scientist
MIT Energy Initiative, MIT - Working on data-driven approaches for decarbonization of electric grid
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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
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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
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2015 PhD
University of Texas at Austin, USA - Electrical and Computer Engineering
- Dissertation: Analysis of the power grid; structure and secure operations
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2011 MS
University of Texas at Austin, USA - Electrical and Computer Engineering
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2009 B.Tech
IIT Guwahati, India - Electronics and Communication Engineering
Honors and Awards
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2022 - Young Alumni Achiever Award, IIT Guwahati, India
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2021 - Best Paper on ML Innovation at ICML Workshop on Tackling Climate Change with Machine Learning
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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
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2009 - Institute Silver Medal for best graduating student in Electronics and Communication Engineering at IIT Guwahati.
Research Interests
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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
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Machine Learning
- Statistical Machine Learning in Networked Dynamical Systems
- Security of Cyber-Physical Systems