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
 optimization12
 operations research17
 queueing theory2
 healthcare operations management4
 constraint programming
 linear programming3
 integer programming4
 algorithm design31
 cost estimation2
 combinatorial optimization7
 hybrid algorithms
 stochastic analysis13
 regression estimation2
 math education7
 engineering education11

Vašek Chvátal
discrete mathematics, betweenness, brain functions

Claudio Contardo
large scale optimization, operations research, logistics planning

Brigitte Jaumard
autonomic networking, graph theory, operations research

Denis Pankratov
theoretical computer science, algorithm design, analysis of algorithms

Hossein Hashemi Doulabi
healthcare optimization, stochastic optimization, integer programming

Ivan Contreras
transportation systems, networks, large scale optimization

Ali Akgunduz
aviation industry, air traffic control, greener aviation

Chun Wang
distributed/parallel systems, esupply chains, scheduling

Dongyu Qiu
networks, network performance evaluation, wireless networks

Farnoosh Naderkhani
conditionbased maintenance, stochastic analysis, quality management

Andrew Delong
machine learning, deep learning, genomics

Mingyuan Chen
operations research, industry 4.0, remanufacturing

Nadia Bhuiyan
aviation industry, product development, operations research

Ali Nazemi
water security, climate change, coupled humanwater systems

Onur Kuzgunkaya
supply chains, reconfigurable manufacturing, risk management

Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics

Masoumeh KazemiZanjani
operations research, optimization under uncertainty, supply chains

Jia Yuan Yu
data science, decision theory, machine learning