High Dimensional Stochastic Optimal Control Professors in Global

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Harold Kushner
Brown University United States of America
stochastic control
stochastic systems theory
complex stochastic systems
stochastic networks
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Kavita Ramanan
Brown University United States of America
high-dimensional probability
stochastic analysis
stochastic networks
stochastic processes
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William Massey
Princeton University United States of America
dynamic optimal control
stochastic analysis
stochastic networks
stochastic dominance
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Bartolomeo Stellato
Princeton University United States of America
optimal control
mathematical optimization
large scale optimization
dynamical systems optimization-based control
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Mete Soner
Princeton University United States of America
high dimensional stochastic optimal control
stochastic optimal control
mean-field stochastic optimal control
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Igor Vladimirov
Australian National University Australia
stochastic robust control
quantum stochastic control
stochastic dynamics
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Nasser Barjesteh
University of Toronto Canada
stochastic control
stochastic modeling
complex stochastic systems
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Quan Nguyen
University of Southern California United States of America
control optimization
real-time optimization-based control
highly dynamic robotics
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Jose Figueroa-lopez
Purdue University United States of America
stochastic control
stochastic analysis
stochastic processes
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David Landriault
University of Waterloo Canada
stochastic control problems
stochastic modelling
stochastic processes
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René Carmona
Princeton University United States of America
stochastic control
stochastic analysis
large stochastic differential games
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Asaf Cohen
University of Michigan United States of America
stochastic control problems
risk-sensitive control
stochastic processes
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Ingemar Kaj
Uppsala University Sweden
stochastic dynamics
stochastic models
stochastic processes
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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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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
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William Massey
Princeton University United States of America
stochastic networks
stochastic orders
dynamic optimization
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Uffe Thygesen
Technical University of Denmark Denmark
stochastic filtering
stochastic processes
dynamic optimization
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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
computational optimization
hybrid optimization algorithms
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Kostas Kardaras
London School of Economics and Political Science United Kingdom
stochastic optimal control
stochastic analysis
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Martin Wainwright
Massachusetts Institute of Technology United States of America
stochastic control
high-dimensional statistics
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Sigrid Källblad Nordin
KTH Royal Institute of Technology Sweden
stochastic control optimization
stochastic analysis
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