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Parimal Parag


Electrical Communication Engineering
Indian Institute of Science
India

Biography

Parimal Parag is currently an assistant professor in the department of electrical communication engineering at Indian Institute of Science at Bengaluru. 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     Parimal Parag is currently an assistant professor in the department of electrical communication engineering at Indian Institute of Science at Bengaluru. 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    

Research Interest

Communication Networks, Communication theory and systems

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