Optimized Compilation Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
multi-objective optimization
optimal design
hybrid optimization algorithms
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
constrained optimization
stochastic optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
distributed optimization
constrained optimization
stochastic optimization
machine learning optimization
nonlinear optimization
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
polynomial optimization
stochastic optimization
robust optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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John Chinneck
Carleton University Canada
optimization
mixed integer optimization
nonlinear optimization
feasibility optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
nonlinear optimization
convex optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
form optimization
section optimization
topology optimization
adaptive optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
stochastic optimization
global optimization
power system optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
real-time embedded optimization
differentiable optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
inverse optimization
multiobjective optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
numerical optimization methods
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Mark Daskin
University of Michigan United States of America
integer optimization
mathematical optimization
discrete optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Marina Epelman
University of Michigan United States of America
integer optimization
mathematical optimization
discrete optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
combinatorial optimization
convex optimization
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Meik Franke
University of Twente Netherlands
optimization
mixed-integer optimization
process design optimization
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