Our Researchers

Begüm Ceylan

Research Associate

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

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

Li Wei

Research Fellow

Finance
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

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

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

Fu Shuran

Research Assistant

Koh Chaik Ming

Senior Research Fellow

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Research Assistant

Convex Optimization, Operations Management

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

integer Programming

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

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Alumni, Research Fellow

Convex Optimization, Revenue Management, Robust Optimization

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

Sun Libo

Research Fellow

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow

Optimisation Under Uncertainty

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 decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, Optimisation Under Uncertainty

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, retailing analytics, learning with small data, customer choice modeling

Huang Shanshan

Research Fellow

Retail Analytics
Discrete Choice Models

Our Researchers

Research Focus

Industry Focus

Begüm Ceylan

Bayesian Statistics, Machine Learning

Lae Chung Khim

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

Li Wei

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

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

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

Fu Shuran

Koh Chaik Ming

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Integer programming and its application

Wang Quanmeng

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

Cheng Peng

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

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

Sun Libo

Decision making under uncertainty

Tan Hong Ming

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

Xiao Nachuan

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

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

Zhang Shuguang

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

Huang Shanshan

IORA

Resources