Multidisciplinary Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
machine learning optimization
distributed 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
distributed optimization
stochastic optimization
constrained optimization
nonlinear optimization
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John Chinneck
Carleton University Canada
optimization
nonlinear optimization
mixed integer optimization
feasibility optimization
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Michael Chen
York University Canada
large scale optimization
stochastic optimization
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Johannes Royset
University of Southern California United States of America
deterministic optimization
stochastic optimization
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Johannes Royset
University of Southern California United States of America
deterministic optimization
stochastic optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
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Vahideh Manshadi
Yale University United States of America
stochastic optimization
data-driven optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
stochastic optimization
data-driven optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
stochastic optimization
data-driven optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
distributed optimization
stochastic optimization
power system optimization
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Miaolan Xie
Purdue University United States of America
stochastic optimization
nonlinear optimization
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Liwei Jiang
Purdue University United States of America
stochastic optimization
nonlinear optimization
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Kai Huang
McMaster University Canada
data-driven optimization
optimization under uncertainty
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Juergen Branke
Warwick Business School United Kingdom
multi-objective optimization
simulation-based optimization
bayesian optimization
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Jim Luedtke
University of Wisconsin–Madison United States of America
stochastic optimization
mixed-integer optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
system-level optimization
memory subsystem optimization
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
polynomial optimization
stochastic optimization
integer optimization
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Phebe Vayanos
University of Southern California United States of America
robust optimization
stochastic optimization
integer optimization
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Phebe Vayanos
University of Southern California United States of America
robust optimization
stochastic optimization
integer optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
large-scale optimization
stochastic optimization
integer optimization
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