Research Fellows

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

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

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

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

Huang Shanshan

Research Fellow

Retail Analytics
Discrete Choice Models

Yann Fraboni

Research Fellow

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

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

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

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, 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

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

Sun Libo

Research Fellow

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

Li Wei

Research Fellow

Finance
Machine Learning

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

Zhang Shuguang

Research Fellow

Supply Chain
Data-driven Optimization

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

Koh Chaik Ming

Senior Research Fellow

Research Fellows

Research Focus

Industry Focus

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

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

Huang Jinjia Aaron

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

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

Huang Shanshan

Yann Fraboni

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

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

Cheng Peng

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

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

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

Xiao Nachuan

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

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

Sun Libo

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

Li Wei

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

Zhang Shuguang

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

Zhang Heli

Koh Chaik Ming

IORA

Resources