Machine Learning

Data-Driven Decision Making, Stochastic and Robust Optimization, Pricing and Revenue Management, Discrete Choice Models, Online Machine Learning, Sharing Economy in Transportation

Li Xiaobo

Assistant Professor

Industrial Systems Engineering and Management

Sharing Economy, Transportation
Data-driven Optimization, Discrete Choice Models, Machine Learning, Revenue Management, Robust Optimization

Financial technology, Operations research and machine learning in financial engineering

Jiang Gaozhe

Student

Finance
Machine Learning, Operations Research

Optimization, Statistics, Machine Learning

Bretislav Hajek

Student

Machine Learning, Optimization

Optimization, Revenue Management, Online Machine Learning

Tang Yuxuan

Student

Machine Learning, Optimization, Revenue Management

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Research Fellow

Distributionally Robust Optimization, Machine Learning

Finance, Decision making under Uncertainty, Machine Learning

Rayner Rebello

Student

Finance
Machine Learning, Optimisation Under Uncertainty

My research interests lie broadly inside probability theory and its applications in statistics, machine learning and nonlinear systems. My recent research involves investigating the behavior of algorithms, e.g. EnKF, MCMC and SGD, when the problem dimension is high. One of the common theme is that we can show stable performance of these algorithms, if certain intrinsic structures can be exploited

Tong Xin

Assistant Professor

Mathematics

Machine Learning

Data analytics, Machine learning, Econometrics

Hou Xinyu

Student

Econometrics, Machine Learning

Dynamic Programming, Data Science, Machine Learning

Billy Tim Anthony

Student

Dynamic Programming, Machine Learning

Optimization, Machine Learning

Lyu Lixing

Student

Machine Learning, Optimization

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

Li Wei

Research Fellow

Finance
Machine Learning

Supply Chain Management, Machine Learning, Decision Making Under Uncertainty

Wu Meixi

Student

Supply Chain
Machine Learning, Optimisation Under Uncertainty

Matrix Optimization Problems: algorithms, applications, and theory. In particular, large scale semidefinite programming. Fast algorithms for large scale statistical and machine learning problems. Iterative methods for large linear systems of equations, especially those arising in optimization.

Toh Kim Chuan

Research Director (Technical)

Mathematics

Algorithms, Machine Learning, Matrix Optimization, Semidefinite Programming

Predictive modelling using machine learning methods, Large scale linear optimization, Robust optimization

Zhu Shaowen

Student

Machine Learning, Robust Optimization

Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Associate Professor (Dean’s Chair)

Electrical and Computer Engineering, Mathematics

Information Theory, Machine Learning, Statistical Signal Processing

Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow

Machine Learning

Intelligent Transportation Systems, Traffic flow theory and traffic control, Multimodal transportation systems, Shared Mobility, Connected and Automated Vehicles, Machine learning and blockchain applications in transportation

Yang Kaidi

Assistant Professor

Civil and Environmental Engineering

Traffic Control, Transportation
Blockchain, Machine Learning

Federated Learning , Machine Learning

Li Wenqian

Student

Learning, Machine Learning

Statistics, Machine Learning

Lim Ek Hong

Student

Machine Learning, Statistical Analysis

Machine Learning, Information Theory and Statistics

Yang Junwen

Student

Information Theory, Machine Learning

Machine Learning

Research Focus

Industry Focus

Data-Driven Decision Making, Stochastic and Robust Optimization, Pricing and Revenue Management, Discrete Choice Models, Online Machine Learning, Sharing Economy in Transportation

Li Xiaobo

Financial technology, Operations research and machine learning in financial engineering

Jiang Gaozhe

Optimization, Statistics, Machine Learning

Bretislav Hajek

Optimization, Revenue Management, Online Machine Learning

Tang Yuxuan

Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Finance, Decision making under Uncertainty, Machine Learning

Rayner Rebello

Tong Xin

Data analytics, Machine learning, Econometrics

Hou Xinyu

Dynamic Programming, Data Science, Machine Learning

Billy Tim Anthony

Optimization, Machine Learning

Lyu Lixing

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

Li Wei

Supply Chain Management, Machine Learning, Decision Making Under Uncertainty

Wu Meixi

Matrix Optimization Problems: algorithms, applications, and theory. In particular, large scale semidefinite programming. Fast algorithms for large scale statistical and machine learning problems. Iterative methods for large linear systems of equations, especially those arising in optimization.

Toh Kim Chuan

Predictive modelling using machine learning methods, Large scale linear optimization, Robust optimization

Zhu Shaowen

Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Bayesian Statistics, Machine Learning

Lae Chung Khim

Intelligent Transportation Systems, Traffic flow theory and traffic control, Multimodal transportation systems, Shared Mobility, Connected and Automated Vehicles, Machine learning and blockchain applications in transportation

Yang Kaidi

Federated Learning , Machine Learning

Li Wenqian

Statistics, Machine Learning

Lim Ek Hong

Machine Learning, Information Theory and Statistics

Yang Junwen

IORA

Resources