Tracking Estimation Professors in Global

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Loren Nolte
Duke University Singapore
estimation
tracking decision
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Arash Mohammadi
Concordia University Canada
tracking
state estimation
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Mohamedou Ould Haye
Carleton University Canada
estimation
forecasting
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Danny Pfeffermann
University of Southampton United Kingdom
trend estimation
small area estimation
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Philipp Sterzinger
London School of Economics United Kingdom
estimation
prediction
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Gustaf Hendeby
Linköping University Sweden
target tracking
nonlinear estimation
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Maria Amer
Concordia University Canada
object tracking
human pose estimation
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Jos Elfring
Eindhoven University of Technology Belgium
state estimation
motion prediction
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Rolf Dollevoet
Delft University of Technology Netherlands
monitoring
acceleration measurement
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Fangce Guo
Imperial College London United Kingdom
traffic state estimation
traffic forecasting
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Steven Waslander
University of Toronto Canada
motion prediction
3d multi-object tracking
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Rina Foygel Barber
University of Chicago United States of America
statistical estimation
prediction
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Martin Bagger
Aarhus University Denmark
process tracing
eye tracking methodologies
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Daniel Morris
Michigan State University United States of America
pose estimation
multi-frame target tracking
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Ryan Tibshirani
University of California, Berkeley United States of America
tracking forecasting epidemics
nonparametric estimation
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Bart Nijssen
University of Washington United States of America
monitoring
forecasting
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Antonio Franchi
University of Twente Netherlands
estimation problems
robust tracking control
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Nicholas Harris
University of Southampton United Kingdom
performance monitoring
predictive inspection
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Siem Koopman
Vrije Universiteit Amsterdam Netherlands
simulation-based estimation
forecasting
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Bing Li
Pennsylvania State University United States of America
estimating equations
semiparametric estimation
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Kiruba T. Kirubarajan
McMaster University Canada
estimation theory
multisensor-multitarget tracking
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