How can data‑driven optimization models be adapted to the changing needs of decision makers?
Daria Terekhov
- Associate Professor
- Department of Mechanical, Industrial and Aerospace Engineering
- dynamic scheduling4
- scheduling9
- inverse optimization
- optimization11
- operations research17
- queueing theory2
- healthcare operations management4
- constraint programming
- linear programming3
- integer programming4
- algorithm design30
- cost estimation2
- combinatorial optimization7
- hybrid algorithms
- stochastic analysis13
- regression estimation2
- math education7
- engineering education10
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Vašek Chvátal
discrete mathematics, betweenness, brain functions
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Claudio Contardo
large scale optimization, operations research, logistics planning
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Brigitte Jaumard
autonomic networking, graph theory, operations research
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Denis Pankratov
theoretical computer science, algorithm design, analysis of algorithms
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Hossein Hashemi Doulabi
healthcare optimization, stochastic optimization, integer programming
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Ivan Contreras
transportation systems, networks, large scale optimization
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Ali Akgunduz
aviation industry, air traffic control, greener aviation
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Chun Wang
distributed/parallel systems, e-supply chains, scheduling
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Dongyu Qiu
networks, network performance evaluation, wireless networks
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Farnoosh Naderkhani
condition-based maintenance, stochastic analysis, quality management
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Mingyuan Chen
operations research, industry 4.0, remanufacturing
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Nadia Bhuiyan
aviation industry, product development, operations research
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Ali Nazemi
water security, climate change, coupled human-water systems
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Onur Kuzgunkaya
supply chains, reconfigurable manufacturing, risk management
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Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics
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Masoumeh Kazemi-Zanjani
operations research, optimization under uncertainty, supply chains
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Jia Yuan Yu
data science, decision theory, machine learning