Demosthenis Teneketzis

From Wikipedia, the free encyclopedia

Born (1951-11-05) November 5, 1951 (age 74)
KnownforControl Theory, Decentralized Systems, Networks, Diagnosis in Discrete Event Systems
FieldsControl Theory, Decentralized Systems, Networks, Discrete Event Systems
Demosthenis Teneketzis
Born (1951-11-05) November 5, 1951 (age 74)
Alma materMassachusetts Institute of Technology
Known forControl Theory, Decentralized Systems, Networks, Diagnosis in Discrete Event Systems
Scientific career
FieldsControl Theory, Decentralized Systems, Networks, Discrete Event Systems
InstitutionsThe University of Michigan
Thesis Communication in decentralized control  (1979[1])
Doctoral advisorNils R. Sandell Jr, MIT
Doctoral studentsTara Javidi

Demosthenis Teneketzis (Greek: Δημοσθένης Τενεκετζής) IEEE is a Greek-American electrical engineer specializing in Systems Science and Engineering. He is Professor Emeritus in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.[2] His works are in the fields of control, decentralized systems, and networks. His main research publications are in stochastic control (centralized and decentralized), scheduling and resource allocation in networks with strategic and non-strategic users, and fault diagnosis in discrete event systems. He is a Fellow of IEEE[3] for contributions to the theory of decentralized information systems and stochastic control.[4]

Demosthenis Teneketzis’ research is on Stochastic Control, Decentralized Decision-Making with non-strategic decision-makers (teams) or strategic decision-makers (games), resource allocation in networks with centralized or decentralized information and strategic or non-strategic agents, and fault diagnosis in discrete event systems. In 2015 he received the George S. Axelby Award from the IEEE Control Systems Society for his paper "Decentralized Stochastic Control with Partial History Sharing: A Common Information Approach".[5]

Selected publications

References

Related Articles

Wikiwand AI