An interdisciplinary group of researchers, faculty affiliates, and practitioners advancing the science of intelligent operations.
Founder and director of CIOTR. Research interests span stochastic optimization, decision analytics under uncertainty, and the methodology of applied operations research.
Stochastic optimization · Decision theory
Deputy director and head of the AI & Intelligent Systems programme. Works on the foundations of machine learning for control and operations.
Reinforcement learning · Control systems
Leads CIOTR's research strategy and editorial direction. Affiliated faculty in industrial engineering with 20+ years of academic and applied experience.
Industrial engineering · Research strategy
Specialist in supply-chain optimization and large-scale simulation. Leads CIOTR's industry liaison projects in logistics and manufacturing.
Supply chain · Simulation modelling
Researches predictive analytics and behavioural decision theory. Co-leads the Decision Analytics working group and edits a journal special section.
Predictive analytics · Behavioural OR
Fellow in CIOTR's Technology & Innovation Management programme. Studies Industry 4.0 adoption and the management of intelligent manufacturing systems.
Industry 4.0 · Innovation management
CIOTR also works with a network of affiliated researchers, PhD students, and industry advisors across our partner institutions worldwide.
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