Urbashi Mitra



Professor, Electrical Engineering
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.Recent research topics of interest include: underwater acoustic communications, multi-hopped systems, 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

∑ NSF NeTS: Medium: A Sparse Decomposition Framework for Complex System Design and Analysis


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,

and the Ming Hsieh Institute

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


Classes Taught

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

Applied Linear Algebra for Engineering - undergraduate (EE 241)

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)