Faculty

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Associate Professor

Department of Economics

Behavioral Economics, Genoeconomics, Neuroeconomics

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

Yap Roland

School of Computing

Combinatorial Optimization, Optimization, Vehicle Routing

Supply Chain Analytics And Operations Management, Healthcare Analytics, Manufacturing System Planning And Scheduling, Big Data Analytics, Software System Architecture

Pang James

Associate Professor (Practice Track)

Analytics & Operations

Healthcare, Manufacturing, Supply Chain
Operations Management, Scheduling

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

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

Second order backward stochastic differential equations (2BSDEs), Stochastic control in finance and insurance, Valuation adjustments, Principal-Agent problems, Data analytics and information acquisition, Deep learning methods

Zhou Chao

Mathematics

Finance
Deep Learning, Stochastic Control

His research interests centre around stochastic processes and their broad applications and intersections with other fields such as data science, with a particular focus on Markov chains theory and stochastic algorithms driven by Markov chains

Michael Choi

Statistics and Data Science

Markov Chain, Stochastic Processes

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

Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design

Feng Yifan

Assistant Professor

Analytics & Operations

Online Platforms
Experimental Design, Learning, Market 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

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

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

Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Professor

Analytics & Operations

Healthcare
Optimisation Under Uncertainty

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, 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

Inventory And Warehouse Management, Logistics And Supply Chain Analysis, Operations And Marketing Interface, Operations Research, Applications In Health Care Operations / manufacturing, Flexibility Design And Analysis, Optimisation With Uncertainty, Production Scheduling

Chou Mabel

Associate Professor

Analytics & Operations

Healthcare, Logistics, Manufacturing, Supply Chain
Inventory Management, Optimisation Under Uncertainty, Scheduling, Warehouse Management

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Affiliated Faculty Member

Industrial Systems Engineering and Management

Machine Learning, Operations Research, Statistical Physics

Behavioral Operations Management

Wu Yaozhong

Associate Professor

Analytics & Operations

Behavioral OM

Faculty

Research Focus

Industry Focus

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Microeconomic Theory, Game Theory

Satoru Takahashi

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

Yap Roland

Supply Chain Analytics And Operations Management, Healthcare Analytics, Manufacturing System Planning And Scheduling, Big Data Analytics, Software System Architecture

Pang James

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

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

Wang Tong

Second order backward stochastic differential equations (2BSDEs), Stochastic control in finance and insurance, Valuation adjustments, Principal-Agent problems, Data analytics and information acquisition, Deep learning methods

Zhou Chao

His research interests centre around stochastic processes and their broad applications and intersections with other fields such as data science, with a particular focus on Markov chains theory and stochastic algorithms driven by Markov chains

Michael Choi

Stochastic control, Stochastic models, Robust decision making and learning, Decentralized optimization, Control of stochastic systems, Applications in financial engineering and Operations Research

Lim Andrew

Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design

Feng Yifan

Soh Yong Sheng

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

Meng Qiang

Tong Xin

Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Econometric theory, Macroeconometrics, Financial Econometrics.

Denis Tkachenko

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

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

Inventory And Warehouse Management, Logistics And Supply Chain Analysis, Operations And Marketing Interface, Operations Research, Applications In Health Care Operations / manufacturing, Flexibility Design And Analysis, Optimisation With Uncertainty, Production Scheduling

Chou Mabel

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Behavioral Operations Management

Wu Yaozhong

IORA

Resources