Hybrid Optimization Methods Professors in Global

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Nickolas Vlahopoulos
University of Michigan United States of America
optimization algorithms
computational methods
hybrid finite element analysis
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
stochastic optimization
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Sylvain Laizet
Imperial College London United Kingdom
bayesian optimization techniques
high-order finite-difference methods
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Ingemar André
Lund University Sweden
high-throughput methods
computational methods
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Jan Stentoft
University of Southern Denmark Denmark
optimization philosophies
business process optimization
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Manfred Trummer
Simon Fraser University Canada
high-order methods
computational methods
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Bilge Atasoy
Delft University of Technology Netherlands
prediction-based optimization
choice-based optimization models
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Ece Karakoyun
Erasmus University Rotterdam Netherlands
hybrid energy systems
stochastic optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
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Chiheb Ben Hammouda
Utrecht University Netherlands
hierarchical approximation methods
numerical machine learning methods
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Ruiwei Jiang
University of Michigan United States of America
discrete optimization
stochastic optimization
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Katerina Papadaki
London School of Economics and Political Science United Kingdom
discrete optimization
stochastic optimization
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Bistra Dilkina
University of Southern California United States of America
discrete optimization
stochastic optimization
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Bistra Dilkina
University of Southern California United States of America
combinatorial optimization
discrete optimization
stochastic optimization
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Viswanath Nagarajan
University of Michigan United States of America
discrete optimization
stochastic optimization
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
polynomial optimization
integer optimization
stochastic optimization
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Phebe Vayanos
University of Southern California United States of America
robust optimization
integer optimization
stochastic optimization
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Phebe Vayanos
University of Southern California United States of America
robust optimization
integer optimization
stochastic optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
large-scale optimization
integer optimization
stochastic optimization
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Phebe Vayanos
University of Southern California United States of America
robust optimization
integer optimization
stochastic optimization
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