Vikram 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.

Research: statistical signal processing, stochastic control (POMDPs), stochastic optimization and inverse reinforcement learning. Applications in social networks, human decision making and adaptive sensing.

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

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)