Optimization Learning Methods Professors in Global

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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
energy systems optimization
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Quan Nguyen
University of Southern California United States of America
control optimization
trajectory optimization
reinforcement learning
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Manuel Lopez-ibanez
University of Manchester United Kingdom
optimisation
combinatorial optimisation
multi-objective optimisation
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
robot learning
reinforcement learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
robot learning
reinforcement learning
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Majid Ali
Aalborg University Denmark
energy optimization
reliability optimization
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Eric Kerrigan
Imperial College London United Kingdom
numerical optimization methods
dynamic optimization
control optimization
multi-objective optimization
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Dominik Petko
University of Zurich Switzerland
teaching methods
personalized teaching and learning methods
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Juergen Branke
Warwick Business School United Kingdom
multi-objective optimization
simulation-based optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
multi-objective optimization
simulation-based optimization
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Mustapha Nour El Fath
Laval University Canada
supply chain optimization
combinatorial network optimization
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Alain Zemkoho
University of Southampton United Kingdom
continuous optimization
numerical methods
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Nathaniel Bastian
Pennsylvania State University United States of America
optimization
multiple objective optimization
computational stochastic optimization
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Kostas Margellos
University of Oxford United Kingdom
data based optimization
randomized robust optimization
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Rommert Dekker
Erasmus University Rotterdam Netherlands
transport optimization
maintenance optimization
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Masoud Asadzadeh
University of Manitoba Canada
multi-objective optimization
heuristic optimization
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
representation learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
optimization
representation learning
reinforcement learning
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Amy Zhang
University of Texas at Austin United States of America
representation learning
reinforcement learning
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Dhruv Shah
Princeton University United States of America
representation learning
reinforcement learning
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