Algorithmic Optimization Professors in Global

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Susanne Albers
Technical University of Munich Germany
algorithmic game theory
efficient algorithms
algorithm engineering
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Spyridon Giagtzoglou
Maastricht University Netherlands
algorithmic game theory
large-scale optimization problems
algorithmic fairness
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Fani Boukouvala
Georgia Institute of Technology United States of America
optimization
simulation-based optimization
algorithmic developments
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Negin Golrezaei
Massachusetts Institute of Technology United States of America
algorithmic innovations
dynamic real-time optimization
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
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Michael Kearns
University of Pennsylvania United States of America
algorithmic game theory
algorithmic trading
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Pierre Schaus
UCLouvain Belgium
discrete optimization
machine learning algorithms
anytime optimization algorithms
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Karmel Gabilan
University of Southern California United States of America
stochastic robust optimization
healthcare optimization
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Reem Khir
Purdue University United States of America
optimization
robust stochastic optimization
constrained optimization
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Kevin Jamieson
University of Washington United States of America
hyperparameter optimization
statistical algorithms
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Mohsen Vatandoost
University of Michigan United States of America
structural optimization
multi-objective multi-criteria optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
nonlinear optimization
constrained optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
nonlinear optimization
constrained optimization
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Majid Ali
Aalborg University Denmark
energy optimization
reliability optimization
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Shuchi Chawla
University of Texas at Austin United States of America
combinatorial stochastic optimization
algorithmic game theory
algorithmic fairness
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Avrim Blum
Toyota Technological Institute Chicago United States of America
algorithmic game theory
algorithmic fairness
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Marc Renault
University of Wisconsin United States of America
algorithmic mechanism design
analysis of algorithms
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Anikó Hannák
University of Zurich Switzerland
algorithmic auditing
big data algorithms
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Daniel Spielman
Yale University United States of America
algorithmic foundations
randomized algorithms
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John Chinneck
Carleton University Canada
optimization
algorithms
nonlinear optimization
feasibility optimization
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