Vikram Krishnamurthy’s Statistical Signal Processing Laboratory


Professor Vikram Krishnamurthy,

Canada Research Chair in Signal Processing,

Department of Electrical & Computer Engineering,

Kaiser Building, 2332 Main Mall,

The University of British Columbia,

Vancouver, B.C.  Canada, V6T 1Z4

  1. Bullet Fax: 604 822 5949

  2. Bullet Tel: 604 822 2653

  3. Bullet email:

Vikram’s areas of expertise:

Statistical Signal Processing, Stochastic Control, Game Theory, Dynamics of Random Graphs.

Applications: Social Networks, Active Sensing, Target Tracking, Radar Resource Management, Wireless Comms, Biological Ion Channels.

Vikram is a Fellow of the IEEE. He was awarded an honorary doctorate from KTH (Royal Institute of Technology), Stockholm, Sweden in 2013.

Vikram has served as:

  1. Editor in Chief for IEEE Journal Selected Topics in Signal Processing. (2010-2012)

  2. Chair of Signal Processing Theory and Methods of the IEEE Signal Processing Society (2012-13)

  3. Distinguished Lecturer for IEEE Signal     Processing Society (2010-2011)

Game Theory and Cognitive Networksgames.htmlgames.htmlgames.htmlgames.htmlshapeimage_4_link_0shapeimage_4_link_1shapeimage_4_link_2shapeimage_4_link_3
Social Networks and Social Learning social.htmlsocial.htmlsocial.htmlsocial.htmlshapeimage_5_link_0shapeimage_5_link_1shapeimage_5_link_2shapeimage_5_link_3
Biosensors Bioelectronicsbiology.htmlbiology.htmlshapeimage_6_link_0shapeimage_6_link_1

Publications by Area: Please click on any of the ovals below to see my recent publications

Partially Observed Markov Decision Processespomdps.htmlpomdps.htmlpomdps.htmlpomdps.htmlshapeimage_7_link_0shapeimage_7_link_1shapeimage_7_link_2shapeimage_7_link_3
Meta- Level Target Trackingtracking.htmltracking.htmltracking.htmlshapeimage_8_link_0shapeimage_8_link_1shapeimage_8_link_2
Stochastic Optimization and Filteringfiltering.htmlfiltering.htmlfiltering.htmlshapeimage_10_link_0shapeimage_10_link_1shapeimage_10_link_2
Wireless Multimedia Networkswireless.htmlwireless.htmlwireless.htmlshapeimage_11_link_0shapeimage_11_link_1shapeimage_11_link_2
Old stuff Hidden Markov Models, Jump Markov systems, stochastic calculus,  EM algorithms, Bayesian filtering.old.htmlold.htmlold.htmlshapeimage_20_link_0shapeimage_20_link_1shapeimage_20_link_2

Stochastic dynamical systems: estimation, control & optimization constitute the unifying theme to the above research areas.