Spectral Detection Professors in Global

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Chabum Lee
Texas A&M University United States of America
optical spectroscopy
electric spectroscopy
magnetic spectroscopy
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Ali Zia
Australian National University Australia
pattern recognition
spectral imaging applications
machine learning
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Chin-hui Lee
Georgia Institute of Technology United States of America
pattern recognition
speech recognition
machine learning
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Kim Blackmore
Australian National University Australia
pattern recognition
machine learning
anomalous change detection
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Jeff Bilmes
University of Washington United States of America
speech recognition
machine learning
statistical modeling
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Jeff Bilmes
University of Washington United States of America
speech recognition
machine learning
statistical modeling
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Irwin Donis-gonzalez
University of California United States of America
spectroscopy
pattern recognition
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Rolf Saager
Linköping University Sweden
spectroscopy
clinical detection
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Zhiyu Liao
University of Glasgow United Kingdom
spectroscopy
mass spectrometry
optical spectroscopic techniques
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Takahiro Hiroi
Brown University United States of America
spectroscopy
asteroid spectroscopy
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Loza Tadesse
Massachusetts Institute of Technology United States of America
detection
spectral analysis
spectroscopy
machine learning
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Yushu Xia
Columbia University United States of America
spectroscopy
machine learning
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Keith Inight
University of Warwick United Kingdom
spectroscopy
machine learning
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Willie Padilla
Duke University Singapore
spectroscopy
machine learning
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Lina Necib
Massachusetts Institute of Technology United States of America
spectroscopy
machine learning
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Benjamin Mashford
Australian National University Australia
spectroscopy
machine learning
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Gustavo Alckmin
University of Western Australia Australia
spectroscopy
machine learning
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Leila Mostaço-guidolin
Carleton University Canada
spectroscopy
machine learning
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Rebecca Thornhill
Carleton University Canada
spectroscopy
machine learning
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David Yaron
Carnegie Mellon University United States of America
spectroscopy
machine learning
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