Soummya Kar (E 2010)
Assistant Research Professor, Electrical and Computer Engineering
BioSoummya Kar is an Assistant Research Professor in Electrical and Computer Engineering. He received a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2010. His current interests span across 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.
Ph.D, Electrical and Computer Engineering
BTech, Electronics and Electrical Communication Engineering
ResearchBroad areas of research include decision-making in multi-agent networked systems, large-scale stochastic systems, distributed information processing and control. Current work on energy systems focus on understanding and modeling the cyber-physical-socio-economic aspects of smart grid networks and the design and development of distributed decision-making for such systems; another focused area of research include developing mechanisms for reliable and cost-effective grid-integration of renewables.
- 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.