Reza Olfati-Saber

Reza Olfati-Saber is an Iranian roboticist and Assistant Professor of Engineering at the Thayer School of Engineering at Dartmouth College. Olfati-Saber is an internationally renowned expert in the control and coordination of multi-robot formations.[1][2] He has also worked in mobile sensor networks, and innovative educational and outreach activities in robotics for disaster management and rescue operations.[3]

Reza Olfati-Saber
NationalityIranian
Alma materMassachusetts Institute of Technology
Sharif University of Technology
Scientific career
FieldsRobotics
Control theory
InstitutionsDartmouth College

Early life and education

Olfati-Saber was born in Iran. He received his B.S. degree in 1994 in Electrical Engineering from Sharif University of Technology.[4] He received S.M. degree in 1997 and Ph.D. degree in 2001 in both Electrical Engineering and Computer Science from Massachusetts Institute of Technology (MIT).[4]

He was a postdoctoral scholar at the California Institute of Technology (Caltech) from 2001 until 2004.[4][5]

Awards and honors

References
  1. Olfati-Saber, Reza; Murray, Richard M. (2004). "Consensus problems in networks of agents with switching topology and time-delays" (PDF). IEEE Transactions on Automatic Control. 49 (9): 1520–1533. doi:10.1109/TAC.2004.834113. S2CID 8368512.
  2. Olfati-Saber, Reza (2006). "Flocking for multi-agent dynamic systems: algorithms and theory". IEEE Transactions on Automatic Control. 51 (3): 401–420. CiteSeerX 10.1.1.135.5931. doi:10.1109/TAC.2005.864190. S2CID 517188.
  3. President Honors Outstanding Early-Career Scientists | The White House Archived 2017-01-28 at the Wayback Machine
  4. "Reza Olfati-Saber, Dartmouth College, Distributed Data Fusion in Networked Sensing Systems". Boston University, Center for Information & Systems Engineering. 2006. Retrieved 2019-10-22.
  5. "Reza Olfati-Saber". The Guardian. 2002-09-11. ISSN 0261-3077. Retrieved 2019-10-22.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.