Planning Deep Uncertainty Professors in Global

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Yashwanth Nakka
Georgia Institute of Technology United States of America
uncertainty
planning
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Tim Worrall
University of Edinburgh United Kingdom
risk uncertainty
information uncertainty
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Georg Stadler
New York University United States of America
optimization under uncertainty
uncertainty quantification
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Yehua Wei
Duke University Singapore
uncertainty
complex decision-making
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Carina Wyborn
Australian National University Australia
decision making under uncertainty
foresight and futures thinking
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Petra Andries
Ghent University Belgium
decision-making under uncertainty
strategic planning
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Aleida Braaksma
University of Twente Netherlands
decision making under uncertainty
capacity planning
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Amanda Coles
King's College London United Kingdom
temporal planning
ai planning
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Chiheb Ben Hammouda
Utrecht University Netherlands
uncertainty quantification
forecasting extreme events
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Laura Scarabosio
Radboud University Netherlands
uncertainty quantification
deep neural networks
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Olivier De Weck
Massachusetts Institute of Technology United States of America
engineering design uncertainty
strategic planning
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University of Sherbrooke Canada
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trajectory planning
path planning
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William Owen
University of Waterloo Canada
trajectory planning
motion planning
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Anja Christensen
Aarhus University Denmark
course planning
exam planning
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Sylvie Thiebaux
Australian National University Australia
ai planning
uncertainty-centric systems
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Hadas Kress-gazit
Cornell University Netherlands
task planning
motion planning
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Howie Choset
Carnegie Mellon University United States of America
motion planning
path planning
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Michiel Van De Panne
University of British Columbia Canada
motion planning
deep reinforcement learning
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Chaoyue Zhao
University of Washington United States of America
deep reinforcement learning
scheduling resilience
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Katherine Daniell
Australian National University Australia
strategic planning
futures-thinking
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Peraphan Jittrapirom
Radboud University Netherlands
planning deep uncertainty
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