Large Scale Sensing Professors in Global

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Nicholas Makris
Massachusetts Institute of Technology United States of America
remote sensing
physics sensing
statistical estimation sensing
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale communication systems
large-scale graph mining
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Dongzhu Liu
University of Glasgow United Kingdom
integrated sensing
multimodal sensing
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Angelo Freni
Delft University of Technology Netherlands
remote sensing
terahertz sensing
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Lei Zou
Texas A&M University United States of America
remote sensing
social sensing
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Chris Backhouse
University of Waterloo Canada
remote sensing
sensors
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Mark Zondlo
Princeton University United States of America
remote sensing
sensors
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Silvia Ferrari
Cornell University Netherlands
remote sensing
sensors
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John Albertson
Cornell University Netherlands
remote sensing
sensors
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Bin Yu
University of California, Berkeley United States of America
remote sensing
high-dimensional data
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Chunyuan Diao
University of Illinois United States of America
remote sensing
computational remote sensing
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Emad Ebeid
University of Southern Denmark Denmark
sensing distributed systems
sensors
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Junyao Xie
University of Guelph Canada
smart sensing
soft sensing
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George Voneiff
Texas A&M University United States of America
large datasets
large-scale production data analysis
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Willie Padilla
Duke University Singapore
terahertz sensing
infrared sensing
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Sreeraman Rajan
Carleton University Canada
compressive sensing
sensors
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Sepehr Assadi
University of Waterloo Canada
massive datasets
big data analysis
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Bernd Dammann
Technical University of Denmark Denmark
large scale computations
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Berkant Savas
Linköping University Sweden
large scale computations
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Thomas González Roberts
Georgia Institute of Technology United States of America
large scale computations
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Eduardo Gildin
Texas A&M University United States of America
large scale dynamical systems
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