Business Process Optimization Professors in Global

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Rik Eshuis
Eindhoven University of Technology Belgium
business process management
business process modeling
green business process management
data-driven business processes
intelligent process management
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Jan Stentoft
University of Southern Denmark Denmark
business process optimization
optimization philosophies
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Hamid Zaman
University of Alberta Canada
optimization
process improvement
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Karen Aardal
Delft University of Technology Netherlands
cost optimization
demand optimization
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Meik Franke
University of Twente Netherlands
process design optimization
optimization
process optimization uncertainties
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Swati Gupta
Massachusetts Institute of Technology United States of America
optimization
quantum optimization
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Saif Benjaafar
University of Michigan United States of America
optimization
business operations
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Nathaniel Bastian
Pennsylvania State University United States of America
optimization
multiple objective optimization
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Bryan Tolson
University of Waterloo Canada
optimization
multi-objective optimization
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Jaroslav Fowkes
University of Oxford United Kingdom
optimization
bayesian optimization
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Yaren Kaya
Columbia University United States of America
optimization
large-scale optimization
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Kaizheng Wang
Columbia University United States of America
optimization
large-scale optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
system-level optimization
memory subsystem optimization
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Alessio Trivella
University of Twente Netherlands
mathematical optimization models
energy sector optimization
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Chuan He
Linköping University Sweden
continuous optimization
decentralized optimization
large-scale optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
numerical optimization methods
multi-objective optimization
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Simant Upreti
Toronto Metropolitan University Canada
optimal control optimization
process modeling simulation
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Juergen Branke
Warwick Business School United Kingdom
simulation-based optimization
multi-objective optimization
bayesian optimization
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David Gutman
Texas A&M University United States of America
optimization manifolds
large-scale optimization
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Sasan Dadbakhsh
KTH Royal Institute of Technology Sweden
process optimizations
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Sasan Dadbakhsh
KTH Royal Institute of Technology Sweden
process optimizations
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