Elementor #20614

Research Interest

Application Focus

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Affiliated Faculty Member

Industrial Systems Engineering and Management

Machine Learning, Operations Research, Statistical Physics

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Associate Professor

Department of Economics

Behavioral Economics, Genoeconomics, Neuroeconomics

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

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

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

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

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

Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory

Hu Zhenyu

Associate Professor

Analytics & Operations

Supply Chain
Dynamic Programming, Game Theory, Revenue Management

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

Tan Kok Choon

Associate Professor

Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.

David Nott

Associate Professor

Statistics and Data Science

Bayesian models, Markov Chain

Wang Guanyi

Assistant Professor

Industrial Systems Engineering and Management

Robust Optimization, Applied Probability, Optimization methods with applications to Control and Analysis of large scale multi-class queueing networks, Mechanism Design, Finance-OM interface

Chaithanya Bandi

Associate Professor

Analytics & Operations

Finance
Mechanism Design, Operations Management, Queuing Networks, Robust Optimization

My research interests broadly lie in the design of algorithms for various applications of data-driven optimization. I have a particular interest in structured learning and estimation problems, as well as problems that involve incentive and policy design for decision-making agents.

Ian Yihang Zhu

Assistant Professor

Analytics & Operations

Algorithms, Data-driven Optimization, Learning

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

Port Logistics and Maritime Transportation, Simulation optimization, Inventory Management

Chew Ek Peng

Associate Professor/Deputy Head

Industrial Systems Engineering and Management

Maritime
Inventory Management, Simulation Optimization

Qin Hanzhang

Assistant Professor

Industrial Systems Engineering and Management

Online and data-driven optimization, Revenue management, Resource allocations in supply chains

Cheung Wang Chi

Assistant Professor

Industrial Systems Engineering and Management

Supply Chain
Data-driven Optimization, Revenue Management

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

Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Associate Professor

Marketing

Behavioral Economics

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

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Associate Professor

Industrial Systems Engineering and Management

Data-driven Optimization

Research Interest

Application Focus

Healthcare Operations Management

Cheng Guang

Student

2020/2021-IORA

Healthcare
Operations Management

Sustainable Operations Management, Maritime Studies

Sun Qinghe

Alumni

2017/2018-IORA, Alumni

Maritime
Operations Management, Sustainability

Operations Research Applications, Optimisation with Uncertainty

Yang Wenjie

Student

2023/2024-CQ

Operations Research, Optimisation Under Uncertainty

Optimization under Uncertainty, Data-driven Decision Making

Sun Hailong

Alumni

2017/2018-IORA, Alumni

Data-driven Optimization, Optimisation Under Uncertainty

Operations Research, Machine Learning

Zhang Guoyun

Student

2025/2026-IORA

Machine Learning, Operations Research

Ge Qingyin

Students

2020/2021-IORA

Sustainable Operations Management

Li Fuqing

Student

2023/2024-CQ

Operations Management, Sustainability

Numerical Methods, Optimization and Stochastic Modelling

Zhuang Linsheng

Student

2020/2021-IORA

Optimization, Stochastic Modeling

Intelligent Transportation Systems, Connected and Automated Vehicles, Machine learning applications in transportation

Xie Yuntong

Student

2023/2024-CQ

Transportation
Machine Learning

Financial technology, Operations research and machine learning in financial engineering

Jiang Gaozhe

Student

2023/2024-IORA

Finance
Machine Learning, Operations Research

He Fan

Student

2022/2023-CQ

Statistics, Supply Chain Management, Stochastic Models

Zhu Qiuyu

Alumni

2017/2018-IORA, Alumni

Supply Chain
Stochastic Modeling

Optimisation, Graph Theory, Network Analysis

Eugene Ang Teng Yen

Student

2021/2022-IORA

Graph Theory, Network Modeling, Optimization

Capacity sharing, Service operation, Supply chain

Wu Zhongming

Visiting Student

Service, Supply Chain

Optimization, Revenue Management and Pricing, Supply Chain Management

Luanxi Mao

Student

2022/2023-CQ

Supply Chain
Optimization, Revenue Management

Finance, Decision making under Uncertainty, Machine Learning

Rayner Rebello

Student

2019/2020-IORA

Finance
Machine Learning, Optimisation Under Uncertainty

Federated Learning, Recommendation System, Blockchain

Mai Peihua

Student

2021/2022-CQ

Blockchain, Learning

Data-driven Optimization, Healthcare Operations

Hu Sixing

Student

2021/2022-CQ

Healthcare
Data-driven Optimization

Behavioral Operations Management, Marketing-Operations Interface

Pang Bo

Student

2023/2024-CQ

Behavioral OM

Intelligent Transportation Systems, Public Transit Management and Optimization

Dai Anran

Student

2023/2024-CQ

Transportation
Optimization

Discrete Optimization

Zhang Weizhou

Student

2022/2023-IORA

Optimization

Machine learning

Zhang Jingqi

Student

2023/2024-CQ

Machine Learning

Decision Making Under Uncertainty, Supply Chain Management

Liang Yuchen

Student

2018/2019-IORA

Supply Chain
Optimisation Under Uncertainty

Discrete Optimization

Cheng Minjiao

Student

2022/2023-CQ

Optimization

Research Interest

Application Focus

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

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

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

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

Optimizing Resource Allocation, Adaptive Learning, Experimentation in Online Platforms

Vikas Deep

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

Teo Chung Piaw

Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory

Hu Zhenyu

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

Tan Kok Choon

Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.

David Nott

Lu Jingfeng

Wang Guanyi

Robust Optimization, Applied Probability, Optimization methods with applications to Control and Analysis of large scale multi-class queueing networks, Mechanism Design, Finance-OM interface

Chaithanya Bandi

My research interests broadly lie in the design of algorithms for various applications of data-driven optimization. I have a particular interest in structured learning and estimation problems, as well as problems that involve incentive and policy design for decision-making agents.

Ian Yihang Zhu

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

Pang James

Port Logistics and Maritime Transportation, Simulation optimization, Inventory Management

Chew Ek Peng

Qin Hanzhang

Online and data-driven optimization, Revenue management, Resource allocations in supply chains

Cheung Wang Chi

Tong Xin

Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Healthcare analytics, Healthcare operations, Inventory and supply chain management, Platform economics, Operations research

Goh Joel

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Research Interest

Application Focus

Healthcare Operations Management

Cheng Guang

Sustainable Operations Management, Maritime Studies

Sun Qinghe

Operations Research Applications, Optimisation with Uncertainty

Yang Wenjie

Optimization under Uncertainty, Data-driven Decision Making

Sun Hailong

Operations Research, Machine Learning

Zhang Guoyun

Ge Qingyin

Sustainable Operations Management

Li Fuqing

Numerical Methods, Optimization and Stochastic Modelling

Zhuang Linsheng

Intelligent Transportation Systems, Connected and Automated Vehicles, Machine learning applications in transportation

Xie Yuntong

Financial technology, Operations research and machine learning in financial engineering

Jiang Gaozhe

He Fan

Statistics, Supply Chain Management, Stochastic Models

Zhu Qiuyu

Optimisation, Graph Theory, Network Analysis

Eugene Ang Teng Yen

Capacity sharing, Service operation, Supply chain

Wu Zhongming

Optimization, Revenue Management and Pricing, Supply Chain Management

Luanxi Mao

Finance, Decision making under Uncertainty, Machine Learning

Rayner Rebello

Federated Learning, Recommendation System, Blockchain

Mai Peihua

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