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Our Faculty

  • Research Focus

  • Industry Focus

Microeconomic Theory, Game Theory

Satoru Takahashi

Professor / Provost’s Chair
Department of Economics
  • Game Theory, Macroeconomics
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Intelligent Transportation Systems, Traffic flow theory and traffic control, Multimodal transportation systems, Shared Mobility, Connected and Automated Vehicles, Machine learning and blockchain applications in transportation

Yang Kaidi

Assistant Professor
Civil and Environmental Engineering
  • Traffic Control, Transportation
  • Blockchain, Machine Learning
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Robert De Souza

The Logistics Institute Asia Pacific
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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

Deputy 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

Executive Director
Department of Analytics and Operations, NUS Business School
  • Supply Chain
  • Combinatorial Optimization, Discrete Choice Models, Inventory Management, Optimisation Under Uncertainty
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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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Healthcare analytics, Healthcare operations, Inventory and supply chain management, Platform economics, Operations research

Goh Joel

Director of PhD Program
Analytics & Operations
  • Healthcare, Supply Chain
  • Inventory Management, Operations Research, Platform Economics
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Zhu Yuting

Assistant Professor
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Econometric theory, Macroeconometrics, Financial Econometrics.

Denis Tkachenko

Senior Lecturer
Department of Economics
  • Econometrics, Macroeconomics
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Mathematical optimization, particularly mixed-integer nonlinear programming and nonsmooth optimization, along with their applications in operations research, data science, and other related fields.

Shaoning Han

Affiliated Faculty
Mathematics
  • data science, Mathematical optimization, mixed-integer nonlinear programming, nonsmooth optimization, Operations Research
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New Product Development, Innovation Sourcing, Economics of AI, Wisdom of Crowds

Chen Zhi

Assistant Professor
Analytics & Operations
  • Demand Forecasting, Economics of AI, Innovation Sourcing, New Product Development, Wisdom of Crowds
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Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Associate Professor
Industrial Systems Engineering and Management
  • Data-driven Optimization
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Stochastic Models And Applied Probability, Algorithms In Stochastic Models, Stochastic Manufacturing Systems, Supply Chain Management, Stochastic Networks And Queues

Zhang Hanqin

Professor
Analytics & Operations
  • Manufacturing, Supply Chain
  • Queuing, Stochastic Modeling
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Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Associate Professor (Dean’s Chair)
Electrical and Computer Engineering, Mathematics
  • Information Theory, Machine Learning, Statistical Signal Processing
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Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains

Chen Gongtao Lucy

Analytics & Operations
  • Finance, Supply Chain
  • Inventory Management, Risk Management
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Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Affiliated Faculty Member
Industrial Systems Engineering and Management
  • Machine Learning, Operations Research, Statistical Physics
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Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design

Feng Yifan

Assistant Professor
Analytics & Operations
  • Online Platforms
  • Experimental Design, Learning, Market Analytics
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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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Alliances, Technological discontinuities, Organizational design, Institutionalism

Navid Asgari

Visiting Faculty
  • Alliances, Institutionalism, Organizational design, Technological discontinuities
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Wang Guanyi

Assistant Professor
Industrial Systems Engineering and Management
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