Vision Based Sensor Systems Professors in Global

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P.j. French
Delft University of Technology Netherlands
sensors
sensor lasers
monitoring devices
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Joseph Paradiso
Massachusetts Institute of Technology United States of America
sensor systems built in natural environments
wireless sensing systems
space-based systems
wearable body sensor networks
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Sreeraman Rajan
Carleton University Canada
sensor systems
sensors
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James Dicarlo
Massachusetts Institute of Technology United States of America
machine vision systems
visual object recognition
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Jonathan Kofman
University of Waterloo Canada
vision-based robot control
computer vision
wearable assistive systems
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Emad Ebeid
University of Southern Denmark Denmark
sensors
sensing distributed systems
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A.j.p.a.m. Theuwissen
Delft University of Technology Netherlands
sensors
image sensor
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Ying Zhang
Georgia Institute of Technology United States of America
sensors
smart wireless sensing systems
intelligent monitoring diagnostic systems
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Michael Adachi
Simon Fraser University Canada
gas sensors
biomarker sensors
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Egor Bondarau
Eindhoven University of Technology Belgium
real-time computer vision
multi-modal perception systems
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Jochen Lang
University of Ottawa Canada
computer vision
visual tracking
image-based models
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Milad Nazarahari
University of Alberta Canada
No active positions
wearable systems
sensor fusion
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Jakob Janting
Technical University of Denmark Denmark
fiber sensors
biochemical sensors
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Pengpeng Hu
University of Manchester United Kingdom
vision-based measurement
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Nicolas Pedersen
Technical University of Denmark Denmark
dynamic vision sensors
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Sebastian Schrøder
Aalborg University Denmark
machine vision systems
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Ronald Rensink
University of British Columbia Canada
machine vision systems
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Jennifer Sun
University College London United Kingdom
visual systems
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Martin Heß
Ludwig Maximilian University of Munich Germany
visual systems
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Xin Huang
University of Wisconsin–Madison United States of America
visual systems
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Suzanne Peyer
University of Wisconsin–Madison United States of America
visual systems
computer vision
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