Krishna Jagannathan

About

Krishna Jagannathan obtained his B. Tech. in Electrical Engineering from IIT Madras in 2004, and the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) in 2006 and 2010 respectively. During 2010-2011, he was a visiting post-doctoral scholar in Computing and Mathematical Sciences at Caltech, and an off-campus post-doctoral fellow at MIT. Since November 2011, he has been with the Department of Electrical Engineering, IIT Madras, where he is currently a professor. His research interests lie in the stochastic modeling and analysis of communication networks, classical & quantum information theory, and queuing theory.

Dr. Jagannathan served on the editorial boards of the journals IEEE/ACM Transactions on Networking and Performance Evaluation, and is presently an Associate Editor of the IEEE Transactions on Information Theory. He is the recipient of a best paper award at WiOpt 2013, and the Young Faculty Recognition Award for excellence in Teaching and Research at IIT Madras (2014).

Employment

• Indian Institute of Technology Madras Professor
  2024 - Present
• Indian Institute of Technology Madras Associate Professor
  2018 - Present
• Indian Institute of Technology Madras Assistant Professor
  2011 - 2018

Education

• Massachusetts Institute of Technology SM
  2006 - Present
• Indian Institute of Technology Madras B Tech
• Massachusetts Institute of Technology PhD
  ? - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (46)

• Downlink Resource Allocation Under Time-Varying Interference: Fairness and Throughput Optimality
  IEEE Transactions on Wireless Communications 2018 DOI: 10.1109/TWC.2017.2770094
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• Adaptive CSMA under the SINR Model: Efficient Approximation Algorithms for Throughput and Utility Maximization
  IEEE/ACM Transactions on Networking 2017 DOI: 10.1109/TNET.2017.2674801
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• Taxi dispatches using supply forecasting: A time-series based approach
  Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016 2017 DOI: 10.1109/HPCC-SmartCity-DSS.2016.0189
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• Queuing Approaches to Principal-Agent Communication under Information Overload
  IEEE Transactions on Information Theory 2017 DOI: 10.1109/TIT.2017.2713392
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• Collaborative learning of stochastic bandits over a social network
  54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016 2017 DOI: 10.1109/ALLERTON.2016.7852375
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• Local stability and Hopf bifurcation analysis for Compound TCP
  IEEE Transactions on Control of Network Systems 2017 DOI: 10.1109/TCNS.2017.2747839
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• Impact of delayed acceleration feedback on the reduced classical car-following model
  2016 IEEE Conference on Control Applications, CCA 2016 2016 DOI: 10.1109/CCA.2016.7587992
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• When heavy-tailed and light-tailed flows compete: The response time tail under generalized max-weight scheduling
  IEEE/ACM Transactions on Networking 2016 DOI: 10.1109/TNET.2015.2415874
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• Efficient CSMA based on Kikuchi approximation
  2016 International Conference on Signal Processing and Communications, SPCOM 2016 2016 DOI: 10.1109/SPCOM.2016.7746610
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• Contagion processes on urban bus networks in Indian cities
  Complexity 2016 DOI: 10.1002/cplx.21825
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