Constrained Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
constrained optimization
stochastic optimization
distributed optimization
optimization algorithms
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
constrained optimization
stochastic optimization
distributed optimization
nonlinear optimization
machine learning optimization
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Pierre Flener
Uppsala University Sweden
constraint programming
constraint solving
constraint modeling
discrete optimization
combinatorial optimization
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Michael Patriksson
Chalmers University of Technology Sweden
convex optimization
combinatorial optimization
nonlinear optimization
equilibrium constraints
non-differentiable optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
multi-objective optimization
hybrid optimization algorithms
meta-modeling optimization
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Maria Rodriguez
Uppsala University Sweden
constraint programming
constraint modelling
discrete optimization
combinatorial optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
discrete optimization
combinatorial optimization
linear optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
convex optimization
non-convex optimization
large-scale optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
optimization under uncertainty
integer optimization
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Yaoliang Yu
University of Waterloo Canada
convex optimization
optimization algorithms
non-convex optimization
robust stochastic 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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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global optimization
power system optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
inverse optimization
robust optimization
multiobjective optimization
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Somayeh Sojoudi
University of California, Berkeley United States of America
non-convex optimization
conic optimization
low-rank optimization
optimization theory
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
convex optimization
non-convex optimization
large-scale optimization
first-order optimization algorithms
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John Chinneck
Carleton University Canada
optimization
nonlinear optimization
mixed integer optimization
feasibility optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
optimization in machine learning
robust optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
robust optimization
integer optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
multi-objective optimization
dynamic optimization
numerical optimization methods
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Reem Khir
Purdue University United States of America
constrained optimization
optimization
robust stochastic optimization
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