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





This position is in support of a multi-disciplinary Office of Naval Research grant funding four institutions.  The project title is “Intelligent Coordination and Adaptive Classification for Naval Autonomous Systems.’’  The ideal candidate has a doctoral degree in either: Electrical Engineering, Computer Science or Mechanical Engineering with expertise in one or more of the following areas: communications, information theory, controls, robotics, classification and pattern recognition, or machine learning.


This position is available immediately.


Complete advertisement and application instructions.



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 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 Provost’s 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)