Vivek Borkar

[1] He is known for introducing analytical paradigm in stochastic optimal control processes[2] and is an elected fellow of all the three major Indian science academies viz.

[12] Subsequently, he enrolled for doctoral studies at the University of California, Berkeley at the laboratory of Pravin Varaiya and secured a PhD for his thesis, Identification and Adaptive Control of Markov Chains, in 1980.

[12] On his return to India in 1981, he joined the TIFR Centre for Applicable Mathematics, Bengaluru as a fellow where he stayed till his move to the Indian Institute of Science in 1989 as an assistant professor.

He has worked on Distributed computation, Multiple timescales, Approximation and learning algorithms, Multiagent problems and Small noise limits and developed a protocol which used conditional version of importance sampling for the estimation of Markov chain averages; the scheme was later confirmed by a team of scientists from Massachusetts Institute of Technology.

[22] He has also contributed chapters to several books edited by others[23] and has delivered a number of invited or keynote addresses including the address on Control and Optimization at the International Congress of Mathematicians held in Madrid in August 2006[23] and the Lecture on Probability and Stochastic Processes XI organized by Indian Statistical Institute, Delhi in November 2016.

[4] He has served as a member of the executive committee of the Mumbai chapter of IEEE and has been an examiner for doctoral studies at University of Nice Sophia Antipolis.