Soummya Kar (E 2010)
Associate Professor, Electrical and Computer Engineering
5000 Forbes Avenue
Porter Hall B18
Pittsburgh, PA 15213
Bio
Soummya Kar received a B.Tech. in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur, India, in May 2005 and a Ph.D. in electrical and computer engineering from 一本道无码, Pittsburgh, PA, in 2010. From June 2010 to May 2011, he was with the Electrical Engineering Department, Princeton University, Princeton, NJ, USA, as a Postdoctoral Research Associate. He is currently an Associate Professor of Electrical and Computer Engineering at 一本道无码, Pittsburgh, PA, USA. His research interests include decision-making in large-scale networked systems, stochastic systems, multi-agent systems and data science, with applications in cyber-physical systems and smart energy systems.Education
Ph.D, Electrical and Computer Engineering
BTech, Electronics and Electrical Communication Engineering
Research
My interest spans several aspects of stochastic adaptive control, decision-making, learning and inference in large-scale networked dynamical systems. Major technical thrust areas include stochastic analysis, distributed stochastic approximation, distributed algorithms, large deviations. Application domains include power networks and smart energy systems.Publications
- A. Tajer, S. Kar, and H.V. Poor, "Distributed state estimation: a learning-based framework," in Smart Grid Communications and Networking, Ekram Hossain, Zhu Han, and H. Vincent Poor, Eds., Cambridge University Press, 2012.
- L. Xie, D.H. Choi, S. Kar, and H.V. Poor, "Bad data detection in smart grid: a distributed approach," in Smart Grid Communications and Networking, Ekram Hossain, Zhu Han, and H. Vincent Poor, Eds., Cambridge University Press, 2012.
- U.A. Khan, S. Kar, and J.M.F. Moura, “Distributed algorithms in sensor networks,” in Handbook on Sensor and Array Processing, Simon Haykin and K. J. Ray Liu, Eds. Wiley-Interscience, 2009.
- Y. Chen, S. Kar, and J.M.F. Moura, "Cyber physical attacks with control objectives," IEEE Transactions on Automatic Control, vol. PP, no. 99, pp. 1 - 1, May 2018.
- Y. Yang, P. Grover, and S. Kar, "Rate distortion for lossy in-network linear function computation and consensus: distortion accumulation and sequential reverse water-filling," IEEE Transactions on Information Theory, vol. 63, no. 8, pp. 5179 - 5206, Aug. 2017.