Abhishek Sinha

Abhishek Sinha 

Abhishek Sinha
Qualcomm Research, San Diego
Formerly at,
Laboratory for Information and Decision Systems
Massachusetts Institute of Technology
Email: sinhaa@mit.edu
Office: MIT Stata Center, Room 32-D671.

Research Summary

My primary research interest broadly lies at the intersection of Probability theory, Stochastic control, Information theory, and Learning Theory, where I seek to develop new analytical tools for understanding and enhancing the performance of networked communication and control systems of wide varieties. During my PhD research, I worked with Prof. Eytan Modiano at LIDS, MIT, where we studied the multicasting and the broadcasting problems from a network control standpoint, and proposed provably optimal and decentralized algorithms targeted for wireless networks. This is the first known throughput-optimal policy for solving a flow problem of such generality. My thesis committee included Prof. Leandros Tassiulas, Prof. David Gamarnik and Prof. Eytan Modiano.

I interned with Bell Labs at Murray Hill, NJ in the summer of 2016, where I worked with Matthew Andrews and Prasanth Ananth on optimal resource allocation problems. I spent the summer of 2014 as a research intern at Microsoft, Redmond, working with Jie Liu at Microsoft Research and David Maltz's group at Windows Azure. There I worked on control and optimization of anycast based load management systems.

I obtained my Master's degree from the Electrical Communication Engineering department at the Indian Institute of Science, located at the beautiful city of Bangalore, where I worked with Prof. Anurag Kumar. Some of the highlights of my present and past research works are given below:

  • In my doctoral work, I have designed an exciting new Max-Weight type dynamic policy, called Universal Max-Weight, which provides a unified framework for the general network-flow problems and simultaneously addresses several open and fundamental problems in the field.

  • During my PhD, along with my colleagues, I designed a downlink scheduler for minimizing the Age of Information with throughput constraints. This work recently won the Best Paper Award in IEEE INFOCOM 2018, Honolulu, HI.

  • At IISc, I also worked on the problem of optimal deployment of relays on a line for the multi-relay channel from an Information theoretic perspective.

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