Research Fellows

Adversarial machine learning, Distributionally robust optimization

Sparse estimation, regularization in deep learning, Bayesian optimization

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

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

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

Data-driven decision-making, Optimization under uncertainty.

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

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

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

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

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

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

Predictive Analytics with Big Data, Retail Supply Chain Analytics, Data Warehouse Architect, ETL Development, Data modelling and design, Data infrastructure, CRM and Customer Analytics

Yue Zhao

Liu Peng

Xiao Nachuan

Yuan Xue Ming

Krishnamoorthy Rajeeva Lochanamoorthy

Liu Changchun

Yann Fraboni

Xiong Peng

Huang Jinjia Aaron

Zhang Shuguang

Li Wei

Koh Chaik Ming

Cheng Peng

Sun Libo

Huang Shanshan

Tan Siang Long Herman

IORA

Resources