- Associate Professor, Department of Electrical Communications Engineering, Indian Institute of Science
- Convenor, Centre for Networked Intelligence
- Member, Applied Probability Research Group
- Dec 2020 - Current: Associate Professor, Department of ECE, Indian Institute of Science
- Dec 2014 - Nov 2020: Assistant Professor, Department of ECE, Indian Institute of Science
- Oct 2011 - Nov 2014: Senior Systems Engineer, Corpoate R&D, ASSIA Inc.
- Oct 2010 - Dec 2010: Visting Research Student, Stanford University
- May 2007 - Jul 2007: Summer Intern, Los Alamos National Laboratory
- Jul 2004 - Dec 2011: PhD in Electrical and Computer Engineering, Texas A&M University
- Jul 1999 - Jun 2004: MTech and BTech (Dual Degree) in Electrical Engineering (Communication Systems), Indian Institute of Technology Madras
- Theory: Stochastic modeling, queueing theory, performance analysis, optimization, information and coding theory, etimation and detection theory, game theory, combinatorics
- Systems: Data center networks, cloud native architecture, next generation cellular networks, blockchain
- 2018: Co-author of ISIT student best paper award
- 2017: SERB early career award
- 2004: Graduate fellowship, Texas A&M University
- 2003: Silver medal, Electrical Engineering department, IIT Madras
- 2002: All India rank 7 in ECE stream in Graduate Aptitude Test in Engineering (GATE)
- 2002: All India rank 556 in Joint Entrance Examination (JEE) for admissions into IITs
- 1996: Final-round participant in Indian National Mathematical Olympiad
- 1996: Indian National Talent Search scholarship
Parimal Parag is currently an associate professor in department of electrical communication engineering at Indian Institute of Science at Bangalore. 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 autumn of 2010 and summer of 2007, respectively.
His research interests are in design, performance evaluation, and control of large distributed and networked intelligent systems applying mathematical tools from queueing theory, information theory, coding theory, and optimization methods. 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 applied probability, game theory, statistical signal processing, estimation & detection theory, and combinatorics.