Rotkowitz, Michael C.

Research Interests
- Decentralized Control
- Optimization
- Sparse Estimation
Background
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."
In July 2012, Dr. Rotkowitz gave a Semi-Plenary address at the 20th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2012) in Melbourne, Australia, entitled: "Information Structures, Stability, and Optimality." He also gave a tutorial session at the 51st IEEE Conference on Decision and Control (CDC) in Maui, Hawaii, in December 2012, entitled, "Information Structures in Optimal Decentralized Control," along with ECE Prof. Nuno Martins (organizer), Aditya Mahajan of McGill University, and Serdar Yuksel of Queen's University.
Honors and Awards
- Presidential Early Career Award (PECASE) (2017)
- NSF CAREER Award (2014)
- SIAM Control and Systems Theory Prize (2011)