Ai In Optimization Professors in Global

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Juergen Branke
Warwick Business School United Kingdom
bayesian optimization
simulation-based optimization
multi-objective optimization
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Johan Ölvander
Linköping University Sweden
design optimization
simulation optimization
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Magnus Bender
Aarhus University Denmark
ai in law
ai in humanities
artificial intelligence
machine learning
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Cecilia Ying
Purdue University United States of America
biases in ai
corrective measures in ai
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Edward Sykes
University of Guelph Canada
ai in health
artificial intelligence
generative ai
machine learning
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Edward Sykes
University of Guelph Canada
ai in health
generative ai
machine learning
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Chantal Landry
ZHAW Zurich University of Applied Sciences Switzerland
optimization engineering
algorithms
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Jacob Gardner
University of Pennsylvania United States of America
bayesian optimization
ai for science
machine learning
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Fabian Duddeck
Technical University of Munich Germany
simulation optimization
material optimization
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Kalyanmoy Deb
Michigan State University United States of America
optimization methods
multi-objective optimization
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Michael Rovatsos
University of Edinburgh United Kingdom
human-friendly ai
game-theoretic ai
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Cecilia Ying
Purdue University United States of America
biases in ai
ai solutions for industry
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Abdullah Alelyani
University of Western Australia Australia
scheduling optimization
algorithms
machine learning
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Mathias Hansen
Technical University of Denmark Denmark
ai tools
energy optimization
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Karen Aardal
Delft University of Technology Netherlands
cost optimization
algorithms
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Garrett Morris
University of Oxford United Kingdom
bayesian optimization
generative ai
machine learning
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John Doe
University of Wisconsin–Madison United States of America
optimization techniques
algorithms
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Hooman Askari Nasab
University of Alberta Canada
optimization techniques
multi-objective optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
constrained optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
nonlinear optimization
machine learning
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
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