Real Time Sensing Professors in Global

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Sreeraman Rajan
Carleton University Canada
sensors
compressive sensing
sensor systems
signal processing
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Simon Yang
University of Guelph Canada
real-time sensing
sensors
signal processing
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Nicholas Makris
Massachusetts Institute of Technology United States of America
physics sensing
remote sensing
statistical estimation sensing
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Andrew Mason
Michigan State University United States of America
environmental sensing
neural sensing
biochemical sensing
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Tianxing Li
Michigan State University United States of America
mobile sensing
human sensing systems
signal processing
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John Albertson
Cornell University Netherlands
remote sensing
sensors
signal processing
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Felix Krahmer
Technical University of Munich Germany
randomized sensing methods
compressed sensing
signal processing
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Ian Wassell
University of Cambridge United Kingdom
compressive sensing
signal processing
sensor networks
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Justin Chan
Carnegie Mellon University United States of America
environmental sensing
mobile sensing
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Timothy Brothers
Georgia Institute of Technology United States of America
real-time signal processing
real-time image processing
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Lei Zou
Texas A&M University United States of America
remote sensing
social sensing
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Tara Boroushaki
Yale University United States of America
wireless sensing
sensing technologies
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Junyao Xie
University of Guelph Canada
smart sensing
soft sensing
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Insup Lee
University of Pennsylvania United States of America
real-time systems
real-time embedded systems
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Chris Backhouse
University of Waterloo Canada
remote sensing
sensors
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Kevin Chetty
University College London United Kingdom
wireless sensing
passive sensing
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Angelo Freni
Delft University of Technology Netherlands
remote sensing
terahertz sensing
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Dongzhu Liu
University of Glasgow United Kingdom
integrated sensing
multimodal sensing
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Emad Ebeid
University of Southern Denmark Denmark
sensing distributed systems
sensors
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Anthony Peyton
University of Manchester United Kingdom
sensing
signal processing
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Pulkit Grover
Carnegie Mellon University United States of America
neural sensing
sensing strategies
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