Optimization Theory Applications Professors in Global

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Michael Stingl
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
applied mathematics
continuous optimization
topology optimization
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Johan Ölvander
Linköping University Sweden
design optimization
simulation optimization
automotive applications
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Seong-hee Kim
Georgia Institute of Technology United States of America
optimization simulation
application of simulation methods
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
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Xiangxiong Zhang
Purdue University United States of America
optimization algorithms
applied mathematics
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Jiajin Li
University of British Columbia Canada
optimization algorithms
continuous optimization
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Marco Chiarandini
University of Southern Denmark Denmark
optimization algorithms
continuous optimization theory
combinatorial optimization
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Niels Aage
Technical University of Denmark Denmark
design optimization
topology optimization
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Lijun Ding
University of California, San Diego United States of America
optimization statistics
continuous optimization
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Chung-hsing Yeh
Monash University Australia
optimisation modelling
neural network applications
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Borzou Rostami
University of Alberta Canada
integration of machine learning and optimization
large-scale optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
topology optimization
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Twan Dollevoet
Erasmus University Rotterdam Netherlands
railway optimization
combinatorial optimization
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Rudolf Müller
Maastricht University Netherlands
algorithmic optimization
combinatorial optimization
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Murat Arcak
University of California, Berkeley United States of America
transportation applications
biology applications
energy applications
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
distributed optimization
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Alemseged Weldeyesus
University of Edinburgh United Kingdom
large-scale optimization
structural optimization
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Chuan He
Linköping University Sweden
large-scale optimization
continuous optimization
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Satyaveer Chauhan
Concordia University Canada
applied game theory
large scale optimization
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Esteban Tabak
New York University United States of America
data science optimization
applied mathematics
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Elkafi Hassini
McMaster University Canada
big data optimization
data-driven optimization
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