The University of Maryland Department of Electrical and Computer Engineering

Search
 
» INFO FOR:   Prospective Students | Current Students | Alumni | Industry & Government | Faculty & Staff | Family | Media
 
 
 
 
 
 
 
 
 
  The A. James Clark School of Engineering

Join our group on LinkedIn
Follow us on Twitter
Follow Us on Facebook
Directory

ECE Google Apps Mail

ECE Web VPN

Help Desk

Technical Operations

University Libraries

ECE Site Feedback


Give to ECE: Great Expectations Campaign





ECE FACULTY

photoMichael C. Rotkowitz

Title: Assistant Professor
Areas/Affiliations: ECE/ISR
E-mail: mcrotk@umd.edu
Phone: 301-405-2765
Office: A.V. Willams 2259
Recent News

Website: http://www.ece.umd.edu/~mcrotk/


Biography:

Professor Michael Rotkowitz received the B.S. degree in Mathematical and Computational Science (with Honors and with Distinction) from Stanford University, Stanford, CA, in 1996. He then worked for J.P. Morgan Investment Management, New York, until 1998. He returned to Stanford and received the Ph.D. degree in Aeronautics and Astronautics in 2005. During that time, he also received the M.S. degree in Aeronautics and Astronautics and the M.S. degree in Statistics, and worked for NASA Ames Research Center.

Dr. Rotkowitz was the Postdoctoral Fellow in Networked Embedded Control in the School of Electrical Engineering at the Royal Institute of Technology (KTH), Stockholm, Sweden from 2005-6, and a Research Fellow in the Department of Information Engineering at the Australian National University in Canberra, Australia from 2006-8. He then joined the University of Melbourne where he held the positions of Queen Elizabeth II Fellow and Future Generation Fellow in the Department of Electrical and Electronic Engineering, as well as Honorary Fellow in the Department of Mathematics and Statistics.

His awards include the 2007 George S. Axelby Outstanding Paper Award and the 2011 SIAM Control and Systems Theory Prize, which was conferred: "for Contributions to the theory of optimal controller synthesis for decentralized systems subject to information and control constraints."

Research Interests:

  • Decentralized Control
  • Optimization
  • Sparse Estimation







↑ Back to Top


© Copyright 2005-2013, University of Maryland
University of Maryland A. James Clark School of Engineering Department of Electrical and Computer Engineering