Deepjyoti Deka

Deepjyoti Deka is a research scientist at the MIT Energy Initiative. His research interests lie at the intersection of AI and optimization for secure estimation and operation in renewable-rich power grids. Currently, his focus also includes analyzing and mitigating issues related to connecting large loads such as datacenters to the grid. At the MIT Energy Initiative, Deka serves as the program manager for the Data Center Power Forum, an initiative supported by energy, infrastructure, and AI companies that aims to coalesce research in this domain.

From 2018-2024, Deka was a staff scientist in the Theoretical Division at Los Alamos National Laboratory and served as a PI/co-PI for the Department of Energy and internal projects on physics-informed machine learning in energy systems. He received his MS and PhD degrees in electrical and computer engineering from the University of Texas, Austin, TX, in 2011 and 2015, respectively. He completed his undergraduate degree in electronics and communication engineering from IIT Guwahati, India with an institute silver medal as the best outgoing student of the department in 2009. Deka is a senior member of IEEE and has served as an editor on IEEE Transactions on Smart Grid.