Our Researchers

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

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

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow

Optimisation Under Uncertainty

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

Li Wei

Research Fellow

Finance
Machine Learning

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Research Fellow

Distributionally Robust Optimization, Machine Learning

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

Huang Shanshan

Research Fellow

Retail Analytics
Discrete Choice Models

Machine Learning Model Development, Statistical Methods & Forecasting, AI/ML at the Intersection of Business & Technology

Poorva Pandya

Research Assistant

Forecasting, Machine Learning, Statistical Analysis

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

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

Yann Fraboni

Research Fellow

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

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

Fu Shuran

Research Assistant

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

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

Xiao Nachuan

Research Felllow

Optimization

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Koh Chaik Ming

Senior Research Fellow

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

integer Programming

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

Zhang Shuguang

Research Fellow

Supply Chain
Data-driven Optimization

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

Research Assistant

Convex Optimization, Operations Management

Our Researchers

Research Focus

Industry Focus

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

Cheng Peng

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

Huang Jinjia Aaron

Decision making under uncertainty

Tan Hong Ming

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

Li Wei

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

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

Huang Shanshan

Machine Learning Model Development, Statistical Methods & Forecasting, AI/ML at the Intersection of Business & Technology

Poorva Pandya

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

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

Zhang Heli

Yann Fraboni

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

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

Fu Shuran

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

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

Xiao Nachuan

Bayesian Statistics, Machine Learning

Lae Chung Khim

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Koh Chaik Ming

Integer programming and its application

Wang Quanmeng

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

Zhang Shuguang

Operation Management, Online Convex Optimization, Data Envelopment Analysis

Zhang Ganggang

IORA

Resources