Our Faculty

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

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Associate Professor

Industrial Systems Engineering and Management

Data-driven Optimization

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

portfolio optimization, data-driven decision making

Zhao Long

Analytics & Operations

Data-driven Optimization, Portfolio Optimization

Transportation Network Modeling and Optimization, Shipping and Intermodal Freight Transportation Analysis, Quantitative Risk Assessment (QRA) of Transport Operations

Meng Qiang

Professor

Civil and Environmental Engineering

Maritime, Transportation
Network Modeling, Risk analytics

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

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

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

Our Faculty

Research Focus

Industry Focus

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

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Stochastic Models And Applied Probability, Algorithms In Stochastic Models, Stochastic Manufacturing Systems, Supply Chain Management, Stochastic Networks And Queues

Zhang Hanqin

portfolio optimization, data-driven decision making

Zhao Long

Econometric theory, Macroeconometrics, Financial Econometrics.

Denis Tkachenko

Econometrics, Empirical Industrial Organizations

Sorawoot Srisuma

Transportation Network Modeling and Optimization, Shipping and Intermodal Freight Transportation Analysis, Quantitative Risk Assessment (QRA) of Transport Operations

Meng Qiang

Soh Yong Sheng

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

Teo Chung Piaw

Microeconomic Theory, Game Theory

Satoru Takahashi

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

Wang Tong

IORA

Resources

Our Faculty

Research Focus

Industry Focus

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

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Stochastic Models And Applied Probability, Algorithms In Stochastic Models, Stochastic Manufacturing Systems, Supply Chain Management, Stochastic Networks And Queues

Zhang Hanqin

portfolio optimization, data-driven decision making

Zhao Long

Econometric theory, Macroeconometrics, Financial Econometrics.

Denis Tkachenko

Econometrics, Empirical Industrial Organizations

Sorawoot Srisuma

Transportation Network Modeling and Optimization, Shipping and Intermodal Freight Transportation Analysis, Quantitative Risk Assessment (QRA) of Transport Operations

Meng Qiang

Soh Yong Sheng

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

Teo Chung Piaw

Microeconomic Theory, Game Theory

Satoru Takahashi

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

Wang Tong

IORA

Resources

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