Stochastic Processes Optimization Professors in Global

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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
ai in optimization
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Dora Shan
Australian National University Australia
stochastic scheduling
optimisation modelling
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
distributed optimization
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Marco Chiarandini
University of Southern Denmark Denmark
optimization algorithms
combinatorial optimization
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Harold Kushner
Brown University United States of America
stochastic systems theory
stochastic control
stochastic networks
optimization methods
complex stochastic systems
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Bilge Atasoy
Delft University of Technology Netherlands
prediction-based optimization
choice-based optimization models
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William Massey
Princeton University United States of America
stochastic networks
stochastic orders
dynamic optimization
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John Oommen
Carleton University Canada
stochastic learning
stochastic automata
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Malcolm Low
Singapore Institute of Technology Singapore
multi-objectives optimization
combinatorial optimization
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Anna Scaglione
Cornell Tech United States of America
statistical signal processing
decentralized optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
control optimization
numerical optimization methods
dynamic optimization
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Omar El Housni
Cornell University Netherlands
optimization models
dynamic optimization
assortment optimization
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Juan Vera Lizcano
Tilburg University Netherlands
polynomial copositive optimization
combinatorial optimization
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Gesualdo Scutari
Purdue University United States of America
mathematical optimization
decentralized optimization
statistical machine learning
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Alicia Kim
University of California, San Diego United States of America
multiscale multiphysics optimization
topology optimization
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Kiefer
Technical University of Berlin Germany
mathematical optimization
stochastic online scheduling
combinatorial optimization
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Ben Feng
University of Waterloo Canada
portfolio optimization
statistical machine learning
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Alfred Hero
University of Michigan United States of America
distributed optimization
statistical machine learning
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
power system optimization
distributed optimization
global optimization
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Kevin Jamieson
University of Washington United States of America
hyperparameter optimization
statistical algorithms
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Ismail Ali
University of New South Wales Australia
optimization problems
combinatorial optimization
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