Professor, Electrical & Computer Engineering,
Cornell University, Ithaca, NY, 14853, USA.
Vikram Krishnamurthy is a Professor of Electrical and Computer Engineering at Cornell University, and a member of the graduate fields in Applied Mathematics, and Mechanical & Aerospace Engineering. He teaches and conducts research in statistical signal processing and stochastic optimization with applications in social network dynamics, adaptive radar and sensing. His current research focuses on the dynamics of blockchain, and inverse reinforcement learning (Langevin stochastic dynamics and micro-economics) with applications in the design of cognitive radar systems.
Professor Krishnamurthy is a Fellow of IEEE, served as distinguished lecturer for the IEEE Signal Processing Society, Editor in Chief of IEEE Journal Selected Topics in Signal Processing. He was awarded an honorary doctorate from KTH, Sweden in 2013. From 2002-2016, he was a Canada Research Chair professor at University British Columbia, Canada. He served as Technical Program Co-chair of ICASSP 2013 in Vancouver.
Professor Krishnamurthy has given plenary lectures at IEEE Control and Decision Conference (2011), IEEE International Information Fusion Conference (2011), IEEE Statistical Signal Processing Workshop (2011 and 2018), GameNets (2016), IEEE Signal Processing Webminar (2017).
- Click here for all my publications.
- Click here for preprints on arXiv (updated)
- Lab website
|Fundamental Areas||Application Areas|
|POMDPs & Controlled Sensing||Social Networks (fusion & control)|
|Inverse RL & Stochastic Optimization||Cognitive Radar|
|Stochastic Calculus, filtering (old stuff)||Biosensors, Artificial Membranes|
Vikram Krishnamurthy is author of the following books
- Partially Observed Markov Decision Processes book, Cambridge, 2016
- Dynamics of Engineered Artificial Membranes & Biosensors, Cambridge, 2018.
- Interactive Sensing and Decision Making in Social Networks, Foundations and Trends in Signal Proc, 2014. (download)