Deepjyoti Deka

Deepjyoti Deka is a research scientist at MIT Energy Initiative. His research interests lie at the intersection of machine learning and optimization for tractable sensing and secure operation in renewable rich power grids. From 2018-2024, he was a staff scientist in the Theoretical Division at Los Alamos National Laboratory and served as a PI/co-PI for DOE and internal projects on machine learning in power systems and optimization of interdependent networks. He received the MS and PhD degrees in electrical and computer engineering (ECE) from the University of Texas, Austin, TX, USA, in 2011 and 2015, respectively. He completed his undergraduate degree in electronics and communication engineering (ECE) 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.