Faculty

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

Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Professor

Analytics & Operations

Healthcare
Optimisation Under Uncertainty

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

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

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

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

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

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

Behavioral Operations Management

Wu Yaozhong

Associate Professor

Analytics & Operations

Behavioral OM

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, Optimisation Under Uncertainty

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Affiliated Faculty Member

Industrial Systems Engineering and Management

Machine Learning, Operations Research, Statistical Physics

Constraint Programming and Solving, Optimization, Combinatorial Problems and Modelling, Vehicle Routing, Big Data

Yap Roland

School of Computing

Combinatorial Optimization, Optimization, Vehicle Routing

Faculty

Research Focus

Industry Focus

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

Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Soh Yong Sheng

Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Optimisation Under Uncertainty, Discrete Choice, Social Choice, Inventory Theory, Supply Chain Management, Combinatorial Optimisation,
Operations Research.

Teo Chung Piaw

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

Tong Xin

Retail Analytics, Demand Forecasting with Machine Learning, Inventory and Supply Chain Management

Wang Tong

Behavioral Operations Management

Wu Yaozhong

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Constraint Programming and Solving, Optimization, Combinatorial Problems and Modelling, Vehicle Routing, Big Data

Yap Roland

IORA

Resources

Faculty

Research Focus

Industry Focus

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

Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Soh Yong Sheng

Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Optimisation Under Uncertainty, Discrete Choice, Social Choice, Inventory Theory, Supply Chain Management, Combinatorial Optimisation, Operations Research.

Teo Chung Piaw

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

Tong Xin

Retail Analytics, Demand Forecasting with Machine Learning, Inventory and Supply Chain Management

Wang Tong

Behavioral Operations Management

Wu Yaozhong

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Constraint Programming and Solving, Optimization, Combinatorial Problems and Modelling, Vehicle Routing, Big Data

Yap Roland

IORA

Resources

Optimisation Under Uncertainty, Discrete Choice, Social Choice, Inventory Theory, Supply Chain Management, Combinatorial Optimisation,
Operations Research.