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Deep Learning Remote Sensing
Deep Learning Remote Sensing Professors in Global
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Professor
P Vaidyanathan
California Institute of Technology
United States of America
digital signal processing
radar signal processing
compressive sensing
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Professor
Edwin Kan
Cornell University
Netherlands
near-field radio frequency sensing
machine learning algorithms
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Professor
Justin Chan
Carnegie Mellon University
United States of America
mobile sensing
environmental sensing
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Professor
Wenbo Wu
University of California, Berkeley
United States of America
distributed acoustic sensing
deep earth seismic imaging
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Professor
Felix Krahmer
Technical University of Munich
Germany
randomized sensing methods
compressed sensing
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Professor
Zheng Liu
University of British Columbia
Canada
machine learning
intelligent sensing
machine vision
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Professor
Panajotis Agathoklis
University of Victoria
Canada
multidimensional signal processing
digital signal processing
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Professor
Kurt Driessens
Maastricht University
Netherlands
machine learning
relational learning
reinforcement learning
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Professor
Kurt Driessens
Maastricht University
Netherlands
machine learning
relational learning
reinforcement learning
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Professor
Dongzhu Liu
University of Glasgow
United Kingdom
integrated sensing
multimodal sensing
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Professor
Faramarz Fekri
Georgia Institute of Technology
United States of America
machine learning
biomarker sensing
reinforcement learning
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Professor
Qingyun Wu
Pennsylvania State University
United States of America
automated machine learning
reinforcement learning
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Professor
Mikael Skoglund
KTH Royal Institute of Technology
Sweden
distributed learning systems
reinforcement learning
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Professor
Majid Ahmadi
University of Windsor
Canada
digital signal processing
machine vision
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Professor
Majid Ahmadi
University of Windsor
Canada
digital signal processing
machine vision
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Professor
Petar Kormushev
Imperial College London
United Kingdom
machine learning
robot learning algorithms
reinforcement learning
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Professor
Hans Driessen
Delft University of Technology
Netherlands
radar signal processing
microwave sensing
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Professor
Willie Padilla
Duke University
Singapore
machine learning
infrared sensing
terahertz sensing
microwave sensing
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Professor
Piotr Indyk
Massachusetts Institute of Technology
United States of America
machine learning algorithms
compressive sensing
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Professor
Girish Chowdhary
University of Illinois
United States of America
machine learning
reinforcement learning
machine vision
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Professor
Ian Wassell
University of Cambridge
United Kingdom
compressive sensing
sensor networks
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