Optimal Sensing Professors in Global

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Nicholas Makris
Massachusetts Institute of Technology United States of America
physics sensing
statistical estimation sensing
remote sensing
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Mayank Goel
Carnegie Mellon University United States of America
sensing systems
health sensing
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Hatem Rouached
Michigan State University United States of America
sensing
signaling
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Christopher Vermillion
University of Michigan United States of America
optimal control
design optimization
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Vuong Phan
University of Southampton United Kingdom
optimal control
continuous optimisation
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Eduardo Gildin
Texas A&M University United States of America
optimal control
control optimization
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Po Yang
University of Manitoba Canada
optimal experimental designs
response optimization
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Tobias Oechtering
KTH Royal Institute of Technology Sweden
optimal algorithmic designs
optimal decision strategies
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Sreeraman Rajan
Carleton University Canada
compressive sensing
sensors
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Zuomin Dong
University of Victoria Canada
real-time optimal control
design optimization
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Simit Raval
University of New South Wales Australia
sensor integration
drone-based smart sensing
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Steven Brunton
University of Washington United States of America
sparse sensing
energy optimization
optimal placement of sparse sensors and actuators
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Johan Ölvander
Linköping University Sweden
design optimization
simulation optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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power system optimization
optimal power flow
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Seonghwan Kim
University of Calgary Canada
sensing
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Yimin Wu
University of Waterloo Canada
sensing
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Jack Radford
University of Glasgow United Kingdom
sensing
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Frederic Gardes
University of Southampton United Kingdom
sensing
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Michael Triantafyllou
Massachusetts Institute of Technology United States of America
sensing
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Mingyo Park
Pennsylvania State University United States of America
sensing
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Catherine Murphy
University of Illinois United States of America
sensing
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