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Robust Stochastic Optimization
Robust Stochastic Optimization Professors in Global
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Professor
Leo Benatar
Georgia Institute of Technology
United States of America
stochastic processes
randomized algorithms
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Professor
Dana Randall
Georgia Institute of Technology
United States of America
stochastic processes
randomized algorithms
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Professor
Siva Maguluri
Georgia Institute of Technology
United States of America
stochastic processes
optimization
revenue optimization
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Professor
Sudipto Banerjee
University of California Los Angeles
United States of America
stochastic processes
statistical machine learning
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Professor
Bilge Atasoy
Delft University of Technology
Netherlands
prediction-based optimization
choice-based optimization models
stochastic dynamic vehicle routing models
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Professor
Erick Moreno-centeno
Texas A&M University
United States of America
discrete optimization
network optimization
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Professor
Igor Averbakh
University of Toronto
Canada
discrete optimization
network optimization
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Professor
Danial Davarnia
Purdue University
United States of America
discrete optimization
network optimization
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Professor
Igor Averbakh
University of Toronto
Canada
discrete optimization
network optimization
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Professor
Maria Prandini
Politecnico di Milano
Italy
stochastic hybrid systems
distributed data-based optimization
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Professor
Michael Patriksson
Chalmers University of Technology
Sweden
combinatorial optimization
stochastic mathematical programs
nonlinear optimization
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Professor
Alfred Hero
University of Michigan
United States of America
distributed optimization
statistical machine learning
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Professor
Albert Berahas
University of Michigan
United States of America
stochastic optimization
machine learning optimization
constrained optimization
distributed optimization
nonlinear optimization
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Professor
Vijaya Raghavendra Bollapragada
University of Texas at Austin
United States of America
stochastic optimization
optimization algorithms
constrained optimization
distributed optimization
nonlinear optimization
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Professor
Kalyanmoy Deb
Michigan State University
United States of America
computational optimization
hybrid optimization algorithms
multi-objective optimization
process optimization
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Professor
Madhuchhanda Bhattacharjee
University of Manchester
United Kingdom
stochastic processes
regression modelling
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Professor
Joerg Fliege
University of Southampton
United Kingdom
discrete optimization
nonlinear optimization
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Professor
Madhuchhanda Bhattacharjee
University of Manchester
United Kingdom
stochastic processes
regression modeling
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Professor
Ermin Wei
Northwestern University
United States of America
network optimization
distributed optimization algorithms
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Professor
Eric Kerrigan
Imperial College London
United Kingdom
dynamic optimization
multi-objective optimization
numerical optimization methods
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Professor
Sekhar Tatikonda
Yale University
United States of America
network optimization
statistical machine learning
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