Our Researchers

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

Li Wei

Research Fellow

Finance
Machine Learning

Yann Fraboni

Research Fellow

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

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

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

Sun Libo

Research Fellow

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

Zhang Shuguang

Research Fellow

Supply Chain
Data-driven Optimization

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

Xiao Nachuan

Research Felllow

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

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow

2017/2018-IORA, Alumni

Optimisation Under Uncertainty

Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow

2017/2018-IORA, Alumni

integer Programming

Koh Chaik Ming

Senior Research Fellow

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

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

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

Huang Shanshan

Research Fellow

Retail Analytics
Discrete Choice Models

Big data analytics, Blockchain, Supply chain optimization

Yan Ran

Research Assistant

Supply Chain
Blockchain

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Alumni, Research Fellow

2019/2020-IORA

Convex Optimization, Revenue Management, Robust Optimization

Our Researchers

Research Focus

Industry Focus

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

Li Wei

Yann Fraboni

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

Huang Jinjia Aaron

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

Cheng Peng

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

Sun Libo

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

Zhang Shuguang

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

Xiao Nachuan

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

Zhang Heli

Decision making under uncertainty

Tan Hong Ming

Integer programming and its application

Wang Quanmeng

Koh Chaik Ming

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

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

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

Huang Shanshan

Big data analytics, Blockchain, Supply chain optimization

Yan Ran

Bayesian Statistics, Machine Learning

Lae Chung Khim

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

IORA

Resources