Agent Based Stochastic Simulation Professors in Global

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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
stochastic control
stochastic processes
simulation
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Harold Kushner
Brown University United States of America
stochastic systems theory
stochastic control
complex stochastic systems
stochastic networks
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Jamal Bentahar
Concordia University Canada
agent-based software engineering
multi-agent systems
security in multi-agent systems
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Nasser Barjesteh
University of Toronto Canada
stochastic modeling
stochastic control
complex stochastic systems
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David Landriault
University of Waterloo Canada
stochastic modelling
stochastic processes
stochastic control problems
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Ingemar Kaj
Uppsala University Sweden
stochastic models
stochastic processes
stochastic dynamics
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Stijn De Vuyst
Ghent University Belgium
stochastic modeling
stochastic optimization
simulation
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Pavel Gapeev
London School of Economics United Kingdom
stochastic analysis
stochastic games
stochastic control problems
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Kavita Ramanan
Brown University United States of America
stochastic analysis
stochastic processes
stochastic networks
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Robert Braun
Linköping University Sweden
simulation-based optimization
computer simulation
distributed simulation
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
simulation
statistical modeling
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Anastasiia Olshevska
Technical University of Berlin Germany
stochastic analysis
stochastic processes
mathematical stochastics
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Maria Polukarov
King's College London United Kingdom
multi-agent reinforcement learning
multi-agent systems
algorithmic game theory
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Richard Serfozo
Georgia Institute of Technology United States of America
stochastic processes
optimization of stochastic systems
stochastic networks
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Igor Vladimirov
Australian National University Australia
stochastic dynamics
quantum stochastic control
stochastic robust control
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Steffen Bayer
University of Southampton United Kingdom
agent based modelling
simulation modelling
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Brandon Haworth
University of Victoria Canada
agent-based modelling
multi-agent reinforcement learning
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Annamina Rieder
Simon Fraser University Canada
agent-based modeling
agentic systems
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Theo Arentze
Eindhoven University of Technology Belgium
agent-based modeling
activity-based modeling
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Ivan Cardenas Barbosa
Chalmers University of Technology Sweden
agent-based modeling
simulation
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Károly Takács
Linköping University Sweden
agent-based modelling
statistical modelling
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