|Research:  ||Information theory, coding theory & related fields|
|Education:    ||2010  ||Princeton University, Ph.D. (Advisers: H. V. Poor and S. Verdú)|
|2005  ||MIPT, M. S. (honors), Dept. General and Applied Physics|
|Address:    ||32-D668, MIT|
|77 Massachusetts Avenue|
|Cambridge, MA 02139|
|Phone:    ||(617) 324-0047|
Yury Polyanskiy is an Associate Professor of Electrical Engineering and Computer Science in the Dept. of EECS at MIT and a member of LIDS, IDSS and Center of Statistics.
Yury received the M.S. degree in applied mathematics and physics from the
Moscow Institute of Physics and Technology,
Moscow, Russia in 2005 and the Ph.D. degree in electrical engineering from
University, Princeton, NJ in 2010. In 2000-2005 he lead the development of
the embedded software in the
Department of Surface Oilfield Equipment, Borets Company LLC (Moscow).
Currently, his research focuses on basic questions in information theory,
error-correcting codes, wireless communication and fault-tolerant and
Dr. Polyanskiy won the 2013 NSF CAREER award and 2011 IEEE Information
Theory Society Paper Award.
Back when he still had spare time, he enjoyed playing with mathematics
(especially, algebraic geometry and algebraic topology) and hacking Linux
My current research interests spin around finding exact and approximate answers to non-asymptotic questions in communication theory. This direction has been explored in my thesis from an information-theoretic (fundamental limits) angle. For example, the capacity of an additive white Gaussian noise (AWGN) channel with SNR=0 dB is given by Shannon's formula
This classical result means that one can communicate at rates arbitrarily close to 0.5 bits per channel use with an arbitrary small probability of error ε in the limit of infinite number of channel uses (and no such communication is possible for any higher rate). This fundamental observation, however, means little for the practical engineer who is always limited by delay requirements. In such circumstances he would rather ask the question:
2550 ≤ n ≤ 2850
For a much more detailed introduction to this line of research please check Chapter 1 of my thesis (requires no information theory background!).
Bounds on maximal achievable rate for the AWGN(0 dB)