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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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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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Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Professor
Analytics & Operations
  • Healthcare
  • Optimisation Under Uncertainty
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I am broadly interested in mathematical optimization and its applications to the data sciences. I am specifically interested in developing optimization-based methodology for a range of data processing problems, as well as understanding the performance and limitations of widely used optimization-based methods in the data sciences

Soh Yong Sheng

Mathematics
  • Optimization
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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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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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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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My research interests lie broadly inside probability theory and its applications in statistics, machine learning and nonlinear systems. My recent research involves investigating the behavior of algorithms, e.g. EnKF, MCMC and SGD, when the problem dimension is high. One of the common theme is that we can show stable performance of these algorithms, if certain intrinsic structures can be exploited

Tong Xin

Assistant Professor
Mathematics
  • Machine Learning
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Optimizing Resource Allocation, Adaptive Learning, Experimentation in Online Platforms

Vikas Deep

Assistant Professor
School of Computing
  • Adaptive Learning, Experimentation in Online Platforms, Optimizing Resource Allocation
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Retail Analytics, Demand Forecasting with Machine Learning, Inventory and Supply Chain Management

Wang Tong

Associate Professor
Industrial Systems Engineering and Management
  • Demand Forecasting with Machine Learning, Inventory and Supply Chain Management, Retail Analytics
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Behavioral Operations Management

Wu Yaozhong

Associate Professor
Analytics & Operations
  • Behavioral OM
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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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