Real Time Sensing Professors in Global

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Mayank Goel
Carnegie Mellon University United States of America
sensing systems
health sensing
signal processing
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Pulkit Grover
Carnegie Mellon University United States of America
neural sensing
sensing strategies
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Dongzhu Liu
University of Glasgow United Kingdom
integrated sensing
multimodal sensing
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Bernard Voon Ee
Singapore Institute of Technology Singapore
smart sensing
real time decision support systems
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Andrew Mason
Michigan State University United States of America
environmental sensing
neural sensing
biochemical sensing
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Willie Padilla
Duke University Singapore
infrared sensing
terahertz sensing
microwave sensing
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Peter Swain
University of Edinburgh United Kingdom
stress sensing
nutrient sensing
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David Li
University of Glasgow United Kingdom
sensing systems
signal processing
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Tianxing Li
Michigan State University United States of America
mobile sensing
human sensing systems
signal processing
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Pietro Borghesani
University of New South Wales Australia
vibration sensing
signal processing
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Burak Kantarci
University of Ottawa Canada
vehicular sensing
crowdsensing
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Burcin Becerik-gerber
University of Southern California United States of America
indoor location sensing
user-centered sensing and learning
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Stuart Bowyer
Imperial College London United Kingdom
real world data analytics
wearable physiological sensing
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Edwin Kan
Cornell University Netherlands
near-field radio frequency sensing
signal processing
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David Anderson
Georgia Institute of Technology United States of America
real-time application techniques
signal processing
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Mats Bengtsson
Royal Institute of Technology Sweden
signal processing
sensor data analysis
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Anthony Rowe
Carnegie Mellon University United States of America
large-scale sensing
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Yun Liu
Australian National University Australia
sensing technology
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Pulkit Grover
Carnegie Mellon University United States of America
neural sensing
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Jana Kainerstorfer
Carnegie Mellon University United States of America
neural sensing
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Kenan Niu
University of Twente Netherlands
smart sensing
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