Research Fellows

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

Data-driven decision-making, Optimization under uncertainty.

Sparse estimation, regularization in deep learning, Bayesian optimization

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

Optimization over the Stiefel manifold, Riemannian optimization, Nonsmooth 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

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

Supply Chain Analytics; Intelligent Demand Forecasting; Data Driven Inventory Optimization; Food Supply Chain Resilience; Deep Learning Models and Algorithms; Stochastic Network Modeling and Optimization

Applied OR and Data Analytics In Port Logistics, healthcare

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

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

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

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

Adversarial machine learning, Distributionally robust optimization

Cheng Peng

Yann Fraboni

Koh Chaik Ming

Xiong Peng

Liu Peng

Sun Libo

Xiao Nachuan

Tan Siang Long Herman

Zhang Shuguang

Yuan Xue Ming

Krishnamoorthy Rajeeva Lochanamoorthy

Huang Jinjia Aaron

Huang Shanshan

Liu Changchun

Li Wei

Yue Zhao

IORA

Resources