Elementor #20614

Professor Georgia Perakis

International Advisory Board Member

Mr. Marc Dragon

International Advisory Board Member

Dr. Simon Chong-Wee See

International Advisory Board Member

Professor David D. Yao

International Advisory Board Member

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

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

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

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

Research Interest

Application Focus

Market design and learning in the context of online marketplaces, Analysis of large economies, Dynamic Optimization and Systems, Risk management

Bar Light

Affiliated Faculty Member

Analytics & Operations

Analysis of large economies, Dynamic Optimization and Systems, Market design and learning in the context of online marketplaces, Risk 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

Behavioral Operations Management

Wu Yaozhong

Associate Professor

Analytics & Operations

Behavioral OM

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

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

Data-Driven Decision Making, Stochastic and Robust Optimization, Pricing and Revenue Management, Discrete Choice Models, Online Machine Learning, Sharing Economy in Transportation

Li Xiaobo

Assistant Professor

Industrial Systems Engineering and Management

Sharing Economy, Transportation
Data-driven Optimization, Discrete Choice Models, Machine Learning, Revenue Management, Robust Optimization

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

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

Stochastic modeling, analysis, and control. Applications in service, healthcare, and transportation systems

He Shuangchi

Associate Professor

Industrial Systems Engineering and Management

Healthcare, Service, Transportation
Stochastic Control

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Associate Professor

Department of Economics

Behavioral Economics, Genoeconomics, Neuroeconomics

Forecasting and Business Intelligence, Non-stationary Time Series Analysis, High Frequency Data and Limit Order Book, Functional Data Analysis and Network Analytics, Text Mining and Sentiment Analysis, Renewable Energy Data Analytics, Risk Management, Crypto Blockchain

Chen Ying

Mathematics

Blockchain, Forecasting, Risk Management

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

Sequential analysis, Change-point detection, Monte Carlo methods

Chan Hock Peng

Statistics and Data Science

Change-Point Detection, Monte Carlo Methods

Tan Kok Choon

Associate Professor

New Product Development, Innovation Sourcing, Economics of AI, Wisdom of Crowds

Chen Zhi

Assistant Professor

Analytics & Operations

Demand Forecasting, Economics of AI, Innovation Sourcing, New Product Development, Wisdom of Crowds

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Associate Professor

Industrial Systems Engineering and Management

Data-driven Optimization

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

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

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

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

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

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

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

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

Yap Roland

School of Computing

Combinatorial Optimization, Optimization, Vehicle Routing

Research Interest

Application Focus

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

Xiao Nachuan

Research Felllow

Optimization

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Koh Chaik Ming

Senior Research Fellow

Predictive Analytics with big data, retailing analytics, learning with small data, customer choice modeling

Huang Shanshan

Research Fellow

Retail Analytics
Discrete Choice Models

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

Li Wei

Research Fellow

Finance
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

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Research Fellow

Distributionally Robust Optimization, Machine Learning

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

Zhang Shuguang

Research Fellow

Supply Chain
Data-driven Optimization

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

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

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

integer Programming

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

Sun Libo

Research Fellow

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, Optimisation Under Uncertainty

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

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

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

Yann Fraboni

Research Fellow

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Alumni, Research Fellow

Convex Optimization, Revenue Management, Robust Optimization

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow

Optimisation Under Uncertainty

Data analytics, discrete choice analysis, stochastic modeling, optimization, revenue management, operations-marketing interface, sustainability, supply chain management,

Mao Ruijiu

Student

data analytics, discrete choice analysis, operations-marketing interface, Optimization, Revenue Management, Stochastic Modeling, supply chain management, Sustainability

Statistics, Supply Chain Management, Stochastic Models

Zhu Qiuyu

Alumni

Supply Chain
Stochastic Modeling

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Research Assistant

Convex Optimization, Operations Management

Mathematical Modelling, Data Science

An Honglin

Student

Optimization

Revenue Management, Risk Analytics, Robust and Distributionally Robust Optimization

Wang Ruiqin

Student

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

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Alumni, Research Fellow

Convex Optimization, Revenue Management, Robust Optimization

Data analytics, Machine learning, Econometrics

Hou Xinyu

Student

Econometrics, Machine Learning

Discrete Optimization

Cheng Minjiao

Student

Optimization

Statistics, Machine Learning

Lim Ek Hong

Student

Machine Learning, Statistical Analysis

Optimization under Uncertainty, Data-driven Decision Making

Sun Hailong

Alumni

Data-driven Optimization, Optimisation Under Uncertainty

Mixed integer programming, Markov Decision Process, Data-driven service operations

Zhao Yanlu

Visiting Student

Service
integer Programming, Markov Chain

Ho Yu Da

Student

On-demand service platforms, operation and supply chain management

He Juan Eryn

Alumni

Supply Chain

Supply Chain Sustainability

Chu Qi

Student

Supply Chain
Sustainability

Capacity sharing, Service operation, Supply chain

Wu Zhongming

Visiting Student

Service, Supply Chain

Dynamic Programming, Information Design, Mechanism Design, Sequential Search

Xiao Yangge

Student

Dynamic Programming, Mechanism Design

Data-driven Analytics and Optimization, Transportation Planning and Supply Chain Operations

Shu Pengfeng

Student

Supply Chain, Transportation
Data-driven Optimization

Operations Research Applications, Optimisation with Uncertainty

Yang Wenjie

Student

Operations Research, Optimisation Under Uncertainty

Optimization, Statistics, Machine Learning

Bretislav Hajek

Student

Machine Learning, Optimization

Logistics, Supply Chain Analysis, Operations And Marketing Interface, Business Analytics,

Liu Jingren

Student

Logistics, Supply Chain

Intelligent Transportation Systems, Public Transit Management and Optimization

Dai Anran

Student

Transportation
Optimization

Yu Bin

Student

Machine Learning, Information Theory and Statistics

Yang Junwen

Student

Information Theory, Machine Learning

Optimisation, Graph Theory, Network Analysis

Eugene Ang Teng Yen

Student

Graph Theory, Network Modeling, Optimization

Professor Georgia Perakis

Mr. Marc Dragon

Dr. Simon Chong-Wee See

Professor David D. Yao

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

Teo Chung Piaw

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

Jussi Keppo

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

Lim Andrew

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

Goh Joel

Research Interest

Application Focus

Market design and learning in the context of online marketplaces, Analysis of large economies, Dynamic Optimization and Systems, Risk management

Bar Light

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

Meng Qiang

Behavioral Operations Management

Wu Yaozhong

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

Goh Joel

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

Data-Driven Decision Making, Stochastic and Robust Optimization, Pricing and Revenue Management, Discrete Choice Models, Online Machine Learning, Sharing Economy in Transportation

Li Xiaobo

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

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

David Nott

Stochastic modeling, analysis, and control. Applications in service, healthcare, and transportation systems

He Shuangchi

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Forecasting and Business Intelligence, Non-stationary Time Series Analysis, High Frequency Data and Limit Order Book, Functional Data Analysis and Network Analytics, Text Mining and Sentiment Analysis, Renewable Energy Data Analytics, Risk Management, Crypto Blockchain

Chen Ying

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

Teo Chung Piaw

Sequential analysis, Change-point detection, Monte Carlo methods

Chan Hock Peng

Tan Kok Choon

New Product Development, Innovation Sourcing, Economics of AI, Wisdom of Crowds

Chen Zhi

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

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

Pang James

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

Zhang Hanqin

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

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

Cheung Wang Chi

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

Jussi Keppo

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

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

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

Yap Roland

Research Interest

Application Focus

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

Xiao Nachuan

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Koh Chaik Ming

Predictive Analytics with big data, retailing analytics, learning with small data, customer choice modeling

Huang Shanshan

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

Li Wei

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

Cheng Peng

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

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

Zhang Shuguang

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

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

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