Parimal Parag

Parimal Parag 

Assistant Professor
Department of ECE
Indian Institute of Science
EC 2.17
Bengaluru 560 012

Tele: +91 80 2293 2279
Fax: +91 80 2360 0563


  • Jan 01, 2019: Teaching E2.334 Topics in Computation over Networks.

  • Dec 13, 2018: Paper co-authored by Anoosheh, J-F, and Richard Wesel accepted at IEEE TCOM.

  • Nov 18, 2018: Paper co-authored by Sanidhay and Sudheer accepted at IEEE TCOM.

  • Sep 28, 2018: Attended Princeton day of optimization.

  • Aug 02, 2018: Co-teaching E2.336 Foundations of machine learning with Vinod Sharma.

  • Aug 02, 2018: Co-teaching E2.202 Random processes with Utpal Mukherji.

  • Jun 30, 2018: Open positions for research associates in 5G testbed project.

  • Jun 28, 2018: Manju presented her Master's project.

  • Jun 25, 2018: Sanidhay successfully defended his Master's thesis.

  • Jun 20, 2018: Prathamesh won the student paper award at IEEE ISIT 2018.

  • May 18, 2018: Ajay and Ankit selected as finalists for QINF 2018.

  • Apr 12, 2018: Talk at EECS colloquium, IISc.

  • Mar 31, 2018: Two papers accepted at IEEE ISIT, Vail, 2018.

  • Jan 19, 2018: Talk at faculty colloqium, ECE dept, IISc.

  • Jan 13, 2018: Invited talk at BITS, Mumbai.

  • Jan 03, 2018: Co-organized ITS workshop at COMSNETS, 2018.

  • Past news

Short Bio

Parimal Parag is currently an assistant professor in the department of electrical communication engineering at Indian Institute of Science at Bengaluru. He is also a member of the applied probability research group, and faculty participant at Robert Bosch centre for cyber-physical systems. He was working as senior systems engineer in R&D at ASSIA Inc. from October 2011 to November 2014. He received his B. Tech. and M. Tech. degrees from Indian Institute of Technology Madras in fall 2004; and the PhD degree from Texas A&M University in fall 2011. He was at Stanford University and Los Alamos National Laboratory, in the autumn of 2010 and the summer of 2007, respectively.

He conducts research in network theory, applied probability, optimization methods, and in their applications to distributed systems. His previous work includes performance evaluation, monitoring, and control of large broadband communication systems and networks. His other research interests lie in the areas of game theory, statistical signal processing, queueing theory, information theory, estimation & detection theory, combinatorics, and probability theory.

Curriculum Vitae

Recent Publications

Journal Articles

  • S. Bhambay, S. Poojary, and P. Parag. Fixed Length Differential Encoding for Real-Time Status Updates. IEEE Transactions on Communications. Nov, 2018. ieeexplore. paper.

Conference Proceedings

  • P. Mayekar, P. Parag, and H. Tyagi. Optimal lossless source codes for timely updates. IEEE International Symposium on Information Theory (ISIT), Vail, CO, USA, Jun 17-22, 2018. ieeexplore. paper. slides.

  • V. R. Raja, P. Parag, S. Shakkottai. Mode-Suppression: A Simple and Provably Stable Chunk-Sharing Algorithm for P2P Networks. IEEE International Conference of Computer Communications (INFOCOM), Honolulu, HI, USA, April 15-19, 2018. ieeexplore. paper. slides.

  • P. Parag and J.-F. Chamberland. Novel latency bounds for distributed coded storage. Information Theory and Applications Workshop (ITA), San Diego, CA, Feb 11-16, 2018. ieeexlpore. paper. slides.

All publications