Stochastic Dynamic Optimisation Professors in Global

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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
distributed optimization
constrained optimization
derivative-free optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
distributed optimization
constrained optimization
optimization algorithms
nonlinear optimization
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Merve Bodur
University of Edinburgh United Kingdom
stochastic programming
multiobjective optimization
robust optimization
dynamic programming
combinatorial optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
evolutionary multi-objective optimization
hybrid optimization algorithms
process optimization
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Harold Kushner
Brown University United States of America
stochastic control
stochastic systems theory
stochastic networks
complex stochastic systems
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René Carmona
Princeton University United States of America
stochastic analysis
stochastic control
stochastic partial differential equations
large stochastic differential games
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George Papavassilopoulos
University of Southern California United States of America
dynamic stochastic games
stochastic learning automata
optimization
optimization algorithms
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Michael Patriksson
University of Gothenburg Sweden
stochastic mathematical programming
mathematical optimization
nonlinear optimization
combinatorial optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
differentiable optimization
large scale optimization
real-time embedded optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
discrete optimization
linear optimization
combinatorial optimization
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Michael Patriksson
Chalmers University of Technology Sweden
stochastic mathematical programs
non-differentiable optimization
nonlinear optimization
combinatorial optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
robust optimization
nonlinear optimization
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Ingemar Kaj
Uppsala University Sweden
stochastic dynamics
stochastic models
stochastic processes
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Wei Sun
Concordia University Canada
stochastic dynamical systems
stochastic analysis
stochastic differential equations
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Yan Li
Texas A&M University United States of America
stochastic optimization
dynamic optimization
robust optimization
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
data-enabled stochastic optimization
discrete optimization
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Uffe Thygesen
Technical University of Denmark Denmark
dynamic optimization
stochastic filtering
stochastic processes
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic differential equations
stochastic processes
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Igor Vladimirov
Australian National University Australia
stochastic dynamics
stochastic robust control
quantum stochastic control
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Richard Serfozo
Georgia Institute of Technology United States of America
optimization of stochastic systems
stochastic networks
stochastic processes
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
distributed optimization
optimization
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