From smart infrastructure to environmental stewardship, control systems and robotics will play an essential role in a sustainable urban-environmental future.
- Editor-in-Chief for the IEEE Transactions on Control of Network Systems
- Associate Editor of the IEEE Transactions on Robotics
- Ph.D., Massachusetts Institute of Technology, 1988
- M.S., Massachusetts Institute of Technology, 1985
- B.S., Georgia Institute of Technology, 1983
Jeff S.Shamma is an adjunct Professor of Electrical and Computer Engineering program at the King Abdullah University of Science and Technology (KAUST).
Education and early career
Shamma is the former Julian T. Hightower Chair in Systems & Control in the School of Electrical and Computer Engineering at Georgia Tech, and he has held faculty positions at the University of Minnesota, the University of Texas at Austin, and the University of California, Los Angeles. Shamma received a Ph.D. in Systems Science and Engineering from MIT in 1988.Shamma is currently head of Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana Champaign
Areas of expertise and current scientific interests
Professor Shamma’s research is in the general areas of feedback control, systems theory, and robotics. His most recent research has been in decision and control for distributed multiagent systems and the related topics of game theory and network science, with applications to both cyberphysical and societal network systems.
Shamma is the recipient of an NSF Young Investigator Award, the American Automatic Control Council Donald P. Eckman Award, and the Mohammed Dahleh Distinguished Lecturer Award, as well as a Distinguished Lecturer of the IEEE Control Systems Society. He is also a Fellow of the IEEE and of the IFAC (International Federation of Automatic Control).
Shamma is currently the Editor-in-Chief of the IEEE Transactions on Control of Network Systems and an Associate Editor of the IEEE Transactions on Robotics.
Why RISC lab?
The Robotics, Intelligent Systems, and Control (RISC) lab at KAUST is engaged in a variety of projects involving intelligent autonomous systems either acting alone or within a distributed decision architecture with other autonomous agents and/or human actors. Representative projects include aerial swarms, inspection and repair, area patrolling, programmable self-assembly, pedestrian crowd modeling, and smart infrastructure.
The mission. The resources. The students.