Urbashi Mitra



Professor, Electrical Engineering

Professor, Computer Science
biographical information / curriculum vitae

Contact Info:


Ming Hsieh Department of Electrical Engineering
536 EEB,
3740 McClintock Avenue
Los Angeles, CA 90089

tel: +1 213 740 4667
fax: +1 213 740 8729
email: ubli@usc.edu




Research Interests

The bulk of my research has been on the development and analysis of algorithms for wireless communication systems. Our current focus is on the interface of communications, sensing and control.Recent research topics of interest include: underwater acoustic communications, communication over channels with state, decentralized control, wireless body area networks for health, joint sensing, control and communication, ultrawideband communications and sensor networks.


Research Projects


∑ ONR Science of Autonoms: Intelligent Coordination and Adaptive Classification for Naval Autonomous Systems (USC: U. Mitra (Lead), S. Narayanan, G. Sukhatme; Northeastern: M. Stojanovic, WHOI: H. Singh and MIT: F. Hover).


∑ NSF CIF: Small: Multiscale Methods for Mobile Underwater Networks.


NSF NeTS: Large: Collaborative Research: Exploration and Exploitation in Actuated Communication Networks (with S. Narayanan-USC, G. Sukhatme -USC and M. Stojanovic -Northeastern, F. Hover - MIT)


∑ AFOSR: Reduced-Dimension Wireless Network and Radio Design: Enabling New Radio Architectures (with A. Goldsmith, Stanford)


∑ NSF NeTS: Medium: A Sparse Decomposition Framework for Complex System Design and Analysis (with A. Ortega, USC)




Research Information

Students, Post Docs, and Visitors

Research Support
Communications Sciences Institute
our work is currently supported by: NSF, ONR, AFOSR, the Federal Transit Administration,

USC WiSE, and the Ming Hsieh Institute

previous sponsors include: Qualcomm, Intel, Cisco, NIH, USC Provostís Office



Classes Taught

course web pages are managed viaeither DEN Blackboard or USC Blackboard and require account access - course syllabi are provided below

new for Spring 2015: EE599Underwater Acoustic Communications: a case study in fast, time-varying wireless channels and sparse approximation

Applied Linear Algebra for Engineering - undergraduate (EE 241)

Freshman Academy - undergraduate (ENGR 102)

Applied Linear Algebra for Engineering - graduate (EE 441)

Probability Theory for Engineers (EE 464)

Mobile Communications (EE 535)

Spread Spectrum Systems (EE 538)

Digital Communication Theory (EE 564)

Sparse Approximation Theory (EE 599)