I am currently a post-doc at UC San Diego, in the Machine Learning Group with Prof. Charles Elkan and the Synergy and MESL labs with Prof. Yuvraj Agarwal.
My research interests lie at the intersection of AI, optimization, learning and inference particularly using them to understand, model and combat noise and uncertainty in real world applications. Broadly, I work on using ideas from online algorithms, optimization under uncertainty, control theory, game theory, artificial intelligence, graphical models and estimation theory to develop novel, theoretically well motivated optimization algorithms that bring intelligence and decision support to resource allocation problems that arise in the next generation of smarter energy systems. For more details see my publications page.
From 2011-2013 I was a Research Staff Member at IBM Research, India Research Lab in Bangalore where I worked on Next Generation Systems. I was a part of the High Performance Computing (HPC) group and also worked with the Smarter Energy group.
Before IBM, I was a Doctoral student in the Electrical and Computer Engineering department at Carnegie Mellon University, from where I graduated in 2011. My PhD research interests were in establishing theoretical limits and algorithms for large scale detection applications (think sensor networks) using ideas from information and coding theory.
In the past I have worked in robust speech recognition, text-independent speaker identification, speech science, machine learning and auditory scene analysis. I also did some work on target tracking with Ryan Kerekes and Iris recognition (the body part not the flower) with Ryan Kerekes and Jason Thronton.
I am a proud recipient of the National Talent Search (NTSE) and the Jawaharlal Nehru (JNCASR) scholarships from the the government of India during my undergraduate studies.
Disclaimer : The postings on this site are my own and don't necessarily represent IBM or UCSD's positions, strategies or opinions. My official IBM webpage can be found here.
PhD - Electrical and Computer Engineering - Carnegie Mellon University, Pittsburgh(11)