Elementor #20614

Professor David D. Yao

International Advisory Board Member

Mr. Marc Dragon

International Advisory Board Member

Dr. Simon Chong-Wee See

International Advisory Board Member

Professor Georgia Perakis

International Advisory Board Member

Stochastic control, Statistical analysis of stochastic processes, Optimization, Risk management, Decision making under uncertainty, Strategic incentives, Information economics.

Jussi Keppo

Research Director (Industry)

Analytics & Operations

Information Economics, Optimization, Risk Management, Statistical Analysis, Stochastic Control, Stochastic Processes

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

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

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

Research Interest

Application 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

Research Director (Technical)

Mathematics

Algorithms, Machine Learning, Matrix Optimization, Semidefinite Programming

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

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

Feng Yifan

Assistant Professor

Analytics & Operations

Online Platforms
Experimental Design, Learning, Market Analytics

portfolio optimization, data-driven decision making

Zhao Long

Assistant Professor

Analytics & Operations

Data-driven Optimization, Portfolio Optimization

Qin Hanzhang

Assistant Professor

Industrial Systems Engineering and Management

Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Associate Professor

Marketing

Behavioral Economics

Zhang Junyu

Assistant Professor

Industrial Systems Engineering and Management

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

Robert De Souza

The Logistics Institute Asia Pacific

Zhu Yuting

Assistant Professor

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

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Affiliated Faculty Member

Industrial Systems Engineering and Management

Machine Learning, Operations Research, Statistical Physics

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

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

Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains

Chen Gongtao Lucy

Analytics & Operations

Finance, Supply Chain
Inventory Management, Risk Management

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

Intelligent Transportation Systems, Traffic flow theory and traffic control, Multimodal transportation systems, Shared Mobility, Connected and Automated Vehicles, Machine learning and blockchain applications in transportation

Yang Kaidi

Assistant Professor

Civil and Environmental Engineering

Traffic Control, Transportation
Blockchain, Machine Learning

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

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

Yap Roland

School of Computing

Combinatorial Optimization, Optimization, Vehicle Routing

Alliances, Technological discontinuities, Organizational design, Institutionalism

Navid Asgari

Visiting Faculty

Alliances, Institutionalism, Organizational design, Technological discontinuities

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

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

Research Interest

Application Focus

Smart-city Logistics & Operations, Cross-border E-commerce Operations, Platform-based Retailing & Operations

Sun Libo

Research Fellow

Begüm Ceylan

Research Associate

online resource allocation, revenue management, fairness and efficiency within resource allocation

Zihao Li

Research Fellow

fairness and efficiency within resource allocation, online resource allocation, Revenue Management

Supply Chain Analytics; Intelligent Demand Forecasting; Data Driven Inventory Optimization; Food Supply Chain Resilience; Deep Learning Models and Algorithms; Stochastic Network Modeling and Optimization

Yuan Xue Ming

Senior Research Fellow

Supply Chain
Deep Learning, Demand Forecasting, Inventory Management, Network Modeling, Optimization, Stochastic Modeling

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Neural Networks, Reinforcement Learning, Optimization

Roope Aleksanteri Pantsar

Research Engineer

Neural Networks, Optimization, Reinforcement Learning

Energy Finance, Time Series Analysis, Quantitative Finance, Explainable Machine Learning

Li Wei

Research Fellow

Finance
Machine Learning

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

Privacy and Fairness in Data Mining and Machine Learning; Machine Learning; Evolutionary Multi-Objective Optimization; Constraint Programming

Cheng Peng

Senior Research Fellow

Constraint Programming, Machine Learning

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Research Fellow

Distributionally Robust Optimization, Machine Learning

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

2017/2018-IORA, Alumni

integer Programming

Predictive Analytics with Big Data, Retail Supply Chain Analytics, Data Warehouse Architect, ETL Development, Data modelling and design, Data infrastructure, CRM and Customer Analytics

Tan Siang Long Herman

Adjunct Research Fellow

Retail Analytics
Applied OR, Supply Chain

Channel Management, Capacity Management, Agricultural Products Supply Chain, Asymmetric Competition, Data-driven Operation

Zhang Shuguang

Research Fellow

Supply Chain
Data-driven Optimization

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow

2017/2018-IORA, Alumni

Optimisation Under Uncertainty

Data-driven Optimization under Uncertainty, Flexible Network Design, Logistics and Supply Chain Management, Bike Sharing System, Airline/airport Operations

Huang Jinjia Aaron

Senior Research Fellow

Airline, Bike sharing, Logistics, Supply Chain
Data-driven Optimization, Network Modeling, Optimisation Under Uncertainty

Optimization over the Stiefel manifold, Riemannian optimization, Nonsmooth optimization.

Xiao Nachuan

Research Felllow

Optimization

Low-rank matrix optimization, semidefinite programming, Riemannian optimization

Tang Tianyun

Research Fellow

Low-rank matrix optimization, Riemannian optimization, Semidefinite Programming

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, Optimisation Under Uncertainty

Supply Chain Management, Game Theory, Decision Analysis and Optimization, Transportation Management, Government Policy Design

Zhang Heli

Research Fellow

Decision Analysis and Optimization, Game Theory, Government Policy Design, supply chain management, Transportation Management

Food Supply Chain, Aviation, Sustainability, Cold Chain, Logistics, Real Estate

Koh Chaik Ming

Senior Research Fellow

Aviation, Cold Chain, Food Supply Chain, Logistics, Real Estate, Sustainability

Heuristics for robust yard allocation scheduling, Behavior perception-based disruption models for BACAP, Decision model for berth allocation under uncertainty considering service level, Robust optimization model for berth allocation problem

Liu Changchun

Senior Research Fellow

Airline, Maritime
Robust Optimization

Combinatorial Optimization, Data-Driven Predictive Analytics

Li Jingying

Student

2023/2024-IORA

Optimization

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

2017/2018-IORA, Alumni

integer Programming

Machine Learning, Information Theory and Statistics

Yang Junwen

Student

2020/2021-IORA

Information Theory, Machine Learning

Behavioral Operations Management

Liu Guangning

Student

2021/2022-CQ

Behavioral OM

Statistics, Machine Learning

Lim Ek Hong

Alumni

2017/2018-IORA

Machine Learning, Statistical Analysis

Lim Kok Tong

Student

2023/2024-IORA

He Fan

Student

2022/2023-CQ

Machine learning

Zhang Jingqi

Student

2023/2024-CQ

Machine Learning

Numerical Methods, Optimization, Data Science, Stochastic Processes, Multi-Variates Statistics, Extreme Value Theory

Ngan Ngiap Teng

Student

2019/2020-IORA

Extreme Value Theory, Optimization, Stochastic Processes

Operations Research Applications, Optimisation with Uncertainty

Yang Wenjie

Student

2023/2024-CQ

Operations Research, Optimisation Under Uncertainty

Optimization under uncertainty, decision-making problems

Wenyu Wang

Student

Analytics & Operations

decision-making problems, Optimization under uncertainty

Optimization, Machine Learning

Lyu Lixing

Student

2021/2022-IORA

Machine Learning, Optimization

Revenue Management, Risk Analytics, Robust and Distributionally Robust Optimization

Wang Ruiqin

Student

2018/2019-IORA

Distributionally Robust Optimization, Revenue Management, Risk analytics, Robust Optimization

VRP optimisation, demand-responsive transport, last-mile supply chain management

Shamir Rahim

Student

demand-responsive transport, last-mile supply chain management, VRP optimisation

Federated Learning, Recommendation System, Blockchain

Mai Peihua

Student

2021/2022-CQ

Blockchain, Learning

Discrete Optimization

Zhang Weizhou

Student

2022/2023-IORA

Optimization

Decision-Making Under Uncertainty, Robust Decision-Making and Learning

Anas Abdelhakmi

Student

2021/2022-IORA

Supply Chain
Decision-Making Under Uncertainty, Robust Decision-Making and Learning

Sustainable Operations Management, Maritime Studies

Sun Qinghe

Alumni

2017/2018-IORA, Alumni

Maritime
Operations Management, Sustainability

Data analytics, Machine learning, Econometrics

Hou Xinyu

Student

2022/2023-IORA

Econometrics, Machine Learning

Healthcare operations management, Data-driven decision making, Experimental design, Supply chain management

Zhu Huijun (Yvonne)

Student

2019/2020-IORA

Healthcare, Supply Chain
Data-driven decision making, Experimental Design, Healthcare operations management, supply chain management

Financial technology, Operations research and machine learning in financial engineering

Jiang Gaozhe

Student

2023/2024-IORA

Finance
Machine Learning, Operations Research

Optimization, Stochastic Processes, Statistics, Modelling and Simulation, Data Analysis, Spatio-temporal modelling

Atlanta Chakraborty

Alumni

2018/2019-IORA, Alumni

Optimization, Stochastic Processes

Optimization and Transportation network modeling

Liang Jinpeng

Visiting Student

Transportation
Network Modeling, Optimization

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Research Assistant

Convex Optimization, Operations Management

Professor David D. Yao

Mr. Marc Dragon

Dr. Simon Chong-Wee See

Professor Georgia Perakis

Stochastic control, Statistical analysis of stochastic processes, Optimization, Risk management, Decision making under uncertainty, Strategic incentives, Information economics.

Jussi Keppo

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

Goh Joel

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

Lim Andrew

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

Teo Chung Piaw

Research Interest

Application 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

Port Logistics and Maritime Transportation, Simulation optimization, Inventory Management

Chew Ek Peng

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

Feng Yifan

portfolio optimization, data-driven decision making

Zhao Long

Qin Hanzhang

Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Zhang Junyu

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

Pang James

Robert De Souza

Zhu Yuting

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

Zhang Hanqin

Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

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

David Nott

Tong Xin

Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains

Chen Gongtao Lucy

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

Intelligent Transportation Systems, Traffic flow theory and traffic control, Multimodal transportation systems, Shared Mobility, Connected and Automated Vehicles, Machine learning and blockchain applications in transportation

Yang Kaidi

Econometrics, Empirical Industrial Organizations

Sorawoot Srisuma

Optimizing Resource Allocation, Adaptive Learning, Experimentation in Online Platforms

Vikas Deep

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

Yap Roland

Alliances, Technological discontinuities, Organizational design, Institutionalism

Navid Asgari

Lu Jingfeng

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

Hu Zhenyu

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

Wang Tong

Research Interest

Application Focus

Smart-city Logistics & Operations, Cross-border E-commerce Operations, Platform-based Retailing & Operations

Sun Libo

Begüm Ceylan

online resource allocation, revenue management, fairness and efficiency within resource allocation

Zihao Li

Supply Chain Analytics; Intelligent Demand Forecasting; Data Driven Inventory Optimization; Food Supply Chain Resilience; Deep Learning Models and Algorithms; Stochastic Network Modeling and Optimization

Yuan Xue Ming

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Neural Networks, Reinforcement Learning, Optimization

Roope Aleksanteri Pantsar

Energy Finance, Time Series Analysis, Quantitative Finance, Explainable Machine Learning

Li Wei

Bayesian Statistics, Machine Learning

Lae Chung Khim

Privacy and Fairness in Data Mining and Machine Learning; Machine Learning; Evolutionary Multi-Objective Optimization; Constraint Programming

Cheng Peng

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

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