CIS - Colloquium - by Prof. Allison Okamura

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Event details

Date 13.09.2021
Hour 18:0019:00
Speaker   Prof Allison Okamura
Location Online
Category Conferences - Seminars
Event Language English

Bio:
Allison M. Okamura received the BS degree from the University of California at Berkeley in 1994, and the MS and PhD degrees from Stanford University in 1996 and 2000, respectively, all in mechanical engineering. She is currently Professor in the mechanical engineering department at Stanford University, with a courtesy appointment in computer science. She was previously Professor and Vice Chair of mechanical engineering at Johns Hopkins University. She is currently the Editor-in-Chief of the journal IEEE Robotics and Automation Letters. She has been an associate editor of the IEEE Transactions on Haptics, editor-in-chief of the IEEE International Conference on Robotics and Automation Conference Editorial Board, an editor of the International Journal of Robotics Research, and co-chair of the IEEE Haptics Symposium.
Her awards include the 2020 IEEE Engineering in Medicine and Biology Society Technical Achievement Award, 2019 IEEE Robotics and Automation Society Distinguished Service Award, 2016 Duca Family University Fellow in Undergraduate Education, 2009 IEEE Technical Committee on Haptics Early Career Award, 2005 IEEE Robotics and Automation Society Early Academic Career Award, and 2004 NSF CAREER Award. She is an IEEE Fellow. Her academic interests include haptics, teleoperation, virtual environments and simulators, medical robotics, soft robotics, neuromechanics and rehabilitation, prosthetics, and education. Outside academia, she enjoys spending time with her husband and two children, running, and playing ice hockey.


The Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC, ENAC, SB; SV and STI that brings together researchers working on different aspects of Intelligent Systems. In June 2020, CIS has launched its CIS Colloquia featuring invited notable speakers.
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Practical information

  • General public
  • Free

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  • CIS

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Tags

CISSBSTISVICENACApprentissage automatique Intelligence artificielle Robotique Vision par ordinateur Artificial intelligence AI Robotics Computer vision

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