Optimized Computing Professors in Global

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Albert Berahas
University of Michigan United States of America
distributed optimization
constrained optimization
machine learning optimization
stochastic optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
constrained optimization
stochastic optimization
nonlinear optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
numerical optimization methods
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective optimization
optimal design
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Manuel Lopez-ibanez
University of Manchester United Kingdom
optimisation
multi-objective optimisation
combinatorial optimisation
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
large-scale optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
integer optimization
large-scale optimization
stochastic optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
high performance computing
system-level optimization
memory subsystem optimization
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Michael Saunders
Stanford University United States of America
constrained optimization
optimization problems
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Chuan He
Linköping University Sweden
decentralized optimization
continuous optimization
large-scale optimization
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Irene Chew
Monash University Australia
process system optimization
optimal design
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Saumen Mandal
University of Manitoba Canada
constrained optimization
optimal design
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Peipei Zhou
Brown University United States of America
compiler optimization
modeling optimization
reconfigurable computing
heterogeneous computing
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Kostas Margellos
University of Oxford United Kingdom
data based optimization
randomized robust optimization
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Christos Maravelias
Princeton University United States of America
optimization analysis
supply chain optimization
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Reem Khir
Purdue University United States of America
optimization
constrained optimization
robust stochastic optimization
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Alemseged Weldeyesus
University of Edinburgh United Kingdom
large-scale optimization
structural optimization
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Navneet Vidyarthi
Concordia University Canada
large-scale optimization
simulation-based optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
robust optimization
nonlinear optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
discrete optimization
supply chain optimization
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