Our Researchers

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow

Optimisation Under Uncertainty

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

Yann Fraboni

Research Fellow

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

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

Xiao Nachuan

Research Felllow

Optimization

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Research Fellow

Distributionally Robust Optimization, Machine Learning

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

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

Li Wei

Research Fellow

Finance
Machine Learning

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

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

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Alumni, Research Fellow

Convex Optimization, Revenue Management, Robust Optimization

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Research Assistant

Convex Optimization, Operations Management

Koh Chaik Ming

Senior Research Fellow

Begüm Ceylan

Research Associate

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

Sun Libo

Research Fellow

Synthetic data, Generative models, Data privacy, Industry applications for AI

Fu Shuran

Research Assistant

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, Optimisation Under Uncertainty

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

Huang Shanshan

Research Fellow

Retail Analytics
Discrete Choice Models

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

integer Programming

Our Researchers

Research Focus

Industry Focus

Decision making under uncertainty

Tan Hong Ming

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Yann Fraboni

Bayesian Statistics, Machine Learning

Lae Chung Khim

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

Xiao Nachuan

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

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

Huang Jinjia Aaron

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

Li Wei

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

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

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Koh Chaik Ming

Begüm Ceylan

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

Sun Libo

Synthetic data, Generative models, Data privacy, Industry applications for AI

Fu Shuran

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

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

Huang Shanshan

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Integer programming and its application

Wang Quanmeng

IORA

Resources