Faculty

Robust and distributionally robust optimization, Data-driven optimization, Risk analytics

Napat Rujeerapaiboon

Assistant Professor
Industrial Systems Engineering and Management
  • Data-driven Optimization, Distributionally Robust Optimization, Risk analytics, Robust Optimization
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Data-Driven Decision Making, Stochastic and Robust Optimization, Pricing and Revenue Management, Discrete Choice Models, Online Machine Learning, Sharing Economy in Transportation

Li Xiaobo

Assistant Professor
Industrial Systems Engineering and Management
  • Sharing Economy, Transportation
  • Data-driven Optimization, Discrete Choice Models, Machine Learning, Revenue Management, Robust Optimization
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Online and data-driven optimization, Revenue management, Resource allocations in supply chains

Cheung Wang Chi

Assistant Professor, Department of Industrial Systems Engineering and Management
College of Design and Engineering, National University of Singapore
Industrial Systems Engineering and Management
  • Supply Chain
  • Data-driven Optimization, Revenue Management
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Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory

Hu Zhenyu

Associate Professor
Analytics & Operations
  • Supply Chain
  • Dynamic Programming, Game Theory, Revenue Management
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Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow
Analytics & Operations
  • Data-driven Optimization, Optimisation Under Uncertainty
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Stochastic control, Stochastic models, Robust decision making and learning, Decentralized optimization, Control of stochastic systems, Applications in financial engineering and Operations Research

Lim Andrew

Director
Analytics & Operations, Finance
  • Finance
  • Decentralized Optimization, Robust Optimization, Stochastic Control
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Optimisation Under Uncertainty, Discrete Choice, Social Choice, Inventory Theory, Supply Chain Management, Combinatorial Optimisation,
Operations Research.

Teo Chung Piaw

Professor
Department of Analytics and Operations, NUS Business School
  • Supply Chain
  • Combinatorial Optimization, Discrete Choice Models, Inventory Management, Optimisation Under Uncertainty
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Matrix Optimization Problems: algorithms, applications, and theory. In particular, large scale semidefinite programming. Fast algorithms for large scale statistical and machine learning problems. Iterative methods for large linear systems of equations, especially those arising in optimization.

Toh Kim Chuan

Research Director (Technical)
Mathematics
  • Algorithms, Machine Learning, Matrix Optimization, Semidefinite Programming
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Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Professor
Analytics & Operations
  • Healthcare
  • Optimisation Under Uncertainty
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