Research Fellows

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

Koh Chaik Ming

Senior Research Fellow

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow

Healthcare, Maritime
Applied OR

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

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow

Bayesian models, Deep Learning

Neural Networks, Reinforcement Learning, Optimization

Roope Aleksanteri Pantsar

Research Engineer

Neural Networks, Optimization, Reinforcement Learning

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

2017/2018-IORA, Alumni

Optimisation Under Uncertainty

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

Low-rank matrix optimization, semidefinite programming, Riemannian optimization

Tang Tianyun

Research Fellow

Low-rank matrix optimization, Riemannian optimization, Semidefinite Programming

Research Fellows

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

Koh Chaik Ming

Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

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

Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Neural Networks, Reinforcement Learning, Optimization

Roope Aleksanteri Pantsar

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

Sun Libo

Decision making under uncertainty

Tan Hong Ming

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

Low-rank matrix optimization, semidefinite programming, Riemannian optimization

Tang Tianyun

IORA

Resources