Professor Demos Teneketzis (LIDS/MIT, PhD 1979) is retiring from the University of Michigan in August 2019. He is an internationally-recognized expert on control and diagnosis of stochastic dynamic systems, specifically using information to make decisions and optimize the performance of systems in the context of centralized and decentralized architectures. He has made fundamental contributions to information structures in decentralized stochastic control, decentralized sequential detection, multi-armed bandits, scheduling resource allocation and routing in networks, diagnosability in discrete event systems, real-time communication and information theory, mechanism design, energy markets, and cyber-physical security.
Professor Teneketzis graduated 24 Ph.D. students and published over 200 journal articles. He received U-M’s Inventor Recognition in 1999 for his contributions to the software tool UMDES-LIB, an outgrowth of collaborative research in fault diagnosis of discrete event systems which he helped establish as a distinct area of research. He later received the IEEE Control Systems Society’s George S. Axelby Outstanding Paper Award for research that helped establish a unified approach to solving stochastic control problems. He is an IEEE Fellow.
Professor Teneketzis was voted Tau Beta Pi Professor of the Year in 2002, and the Michigan Assembly named him Outstanding Instructor in 1989 and 1990. He received the College of Engineering Education Excellence Award, and the U-M Rackham Distinguished Graduate Mentoring Award. He developed new graduate courses in stochastic processes and stochastic control.
Professor Teneketzis received his B.S. (1974) degree from the University of Patras (Greece) and his M.S. (1976) and Ph.D. (1979) degrees from the Massachusetts Institute of Technology. After working as a senior engineer at Alpatech, Inc., he joined the University of Michigan faculty as Assistant Professor in 1984, and was promoted to Associate professor in 1987, and Professor in 1993.