Krishna Jagannathan

Associate Professor

Department of Electrical Engineering

IIT Madras

Phone: +914422574469

Email: krishnaj (at) ee (dot) iitm (dot) ac (dot) in

 

CV

 

Publications

 

Bio: 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 an associate professor. He worked as a consultant at the Mathematical Sciences Research Center, Bell Laboratories, Murray Hill, NJ in 2005, and as an engineering intern at Qualcomm, Campbell, CA in 2007. His research interests lie in the stochastic modeling and analysis of communication networks, transportation networks, network control, and queuing theory.

 

Teaching

 

Probability Foundations – NPTEL video course   This is a postgraduate level course on probability theory recorded during July – November 2014   The lectures can be found here.   LaTeX notes for the course can be found here.

 

 

Stochastic Modelling and the Theory of Queues – NPTEL video course   This is a postgraduate level course on discrete stochastic processes – mainly covering Poisson processes, Renewal processes & Renewal reward theory, Markov processes and queuing theory. Recorded lectures to a live class January – March 2020 (before the world shut down) and completed November 2020 – February 2021 talking to a lone camera in a very cold studio.   The video lectures can be found here.   Handwritten class notes can be found here and here.

 

My graduate students belong to the Networks and Stochastic Systems lab, ESB 218.

 

Graduate Students:

 

Ph.D.: Sushmitha Shree, Jaswanthi Mandalapu, Tejaram Sangadi, Bharati K, Alekhya Kunchakara

 

M.S.: Amit Anand Jha, Pallavi Varma P K (external)

 

Former Students: Aseem Sharma (MS 2016), Peruru Subrahmanya Swamy (PhD 2018), Ravi Kolla (PhD 2019), Gopal Krishna Kamath (PhD 2019), Debayani Ghosh (PhD 2019), Ravina Gelda (MS 2019), Pawan Poojary (MS 2019), Sneha Konnur (MS 2021), Neema Davis (PhD 2020)

 

Awards:

 

·         Best Paper Award, WiOpt 2013, Tsukuba, Japan, for this paper.

·         Young Faculty Recognition Award for excellence in teaching and research, IIT Madras 2014.

 

Other Professional Activities:

 

·         Editor, IEEE/ACM Transactions on Networking (2017 –2021)

·         Editor, Performance Evaluation (2017 – 2022)

·         Member of the Steering Committee, WiOpt series of conferences

·         TPC co-chair, COMSNETS 2021 (with Aruna Balasubramanian, Stony Brook, and Salil Kanhere, UNSW)

·         TPC co-chair, SPCOM 2020 (with Nikhil Karamchandani, IITB and Prasanta Ghosh, IISc)

·         Local Arrangements Chiar, MobiHoc 2017, IIT Madras

·         Workshop co-chair (with Gaurav Raina), Intelligent Transportation Systems Workshop, Bangalore, January 2016.

·         TPC co-chair, WiOpt 2015 (Mumbai), with Francois Baccelli (UT Austin) and Atilla Eryilmaz (Ohio State University)

·         Workshop co-chair (with Gaurav Raina), Intelligent Transportation Systems Workshop, Bangalore, January 2015.

·         Technical program committees (TPC) and reviewer of international conferences: Often serve and review for AISTATS, NeurIPS, IFIP Performance, MOBIHOC, COMSNETS, WiOpt NCC, SPCOM etc.

·         Workshop Chair for MobiHoc 2013 (Bangalore), along with Aditya Gopalan.

·         Publications chair for WiOpt 2014 (Tunisia)

·         Routinely review for several IEEE journals such as Transactions on Networking, Information Theory, Wireless Communications, Automatic Control, Wireless communication letters, signal processing letters, etc.

·         IEEE Member, ACM Member

 

Miscellaneous:

 

1.      Making an effective technical presentation: slides. (Contains some borrowed ideas from Dimitri Bertsekas, Benam Aazhang, Uday Khankhoje…)

2.      JTG Summer School 2019 recordings. Lectures by

a.      Prof. Michelle Effros (Caltech) on Multi-terminal Information Theory

b.      Dr. Praneeth Netrapalli (presently Google, India) on Optimization Algorithms.

3.      Mini workshop on Modern Optimization (Feb 17 – 19, 2020) recordings. Featuring lectures by

a.      Dr. Praneeth Netrapalli (Google, India): Optimization Algorithms

b.      Prof. Aditya Gopalan (ECE, IISc): Online Convex Optimization

c.       Prof. L. A. Prashanth (CSE, IIT Madras): Zeroth Order Stochastic Optimization