Faculty – IORA – Institute of Operations Research and Analytics

Statistics and Data Science

His research interests centre around stochastic processes and their broad applications and intersections with other fields such as data science, with a particular focus on Markov chains theory and stochastic algorithms driven by Markov chains

Analytics & Operations

Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

Analytics & Operations

Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains

Statistics and Data Science

Sequential analysis, Change-point detection, Monte Carlo methods

Mathematics

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.

Mathematics

I am broadly interested in mathematical optimization and its applications to the data sciences. I am specifically interested in developing optimization-based methodology for a range of data processing problems, as well as understanding the performance and limitations of widely used optimization-based methods in the data sciences

Analytics & Operations

Data-driven decision-making, Optimization under uncertainty.

The Logistics Institute Asia Pacific

Analytics & Operations

Healthcare analytics, Healthcare operations, Inventory and supply chain management, Platform economics, Operations research

Analytics & Operations

Behavioral Operations Management

Analytics & Operations

portfolio optimization, data-driven decision making

Mathematics

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

Analytics & Operations

Inventory And Warehouse Management, Logistics And Supply Chain Analysis, Operations And Marketing Interface, Operations Research, Applications In Health Care Operations / manufacturing, Flexibility Design And Analysis, Optimisation With Uncertainty, Production Scheduling

Statistics and Data Science

Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.

Industrial Systems Engineering and Management

Robust and distributionally robust optimization, Data-driven optimization, Risk analytics

Mathematics

Forecasting and Business Intelligence, Non-stationary Time Series Analysis, High Frequency Data and Limit Order Book, Functional Data Analysis and Network Analytics, Text Mining and Sentiment Analysis, Renewable Energy Data Analytics, Risk Management, Crypto Blockchain

Electrical and Computer Engineering, Mathematics

Information Theory, Machine Learning, Statistical Signal Processing

Analytics & Operations

Supply Chain Analytics And Operations Management, Healthcare Analytics, Manufacturing System Planning And Scheduling, Big Data Analytics, Software System Architecture

Analytics & Operations

Robust Optimization, Applied Probability, Optimization methods with applications to Control and Analysis of large scale multi-class queueing networks, Mechanism Design, Finance-OM interface

Faculty Members

Michael Choi

SIM Melvyn

Chen Gongtao Lucy

Chan Hock Peng

Toh Kim Chuan

Soh Yong Sheng

Zhong Songfa

Xiong Peng

Robert De Souza

Goh Joel

Wu Yaozhong

Zhao Long

Tong Xin

Chou Mabel

David Nott

Napat Rujeerapaiboon

Chen Ying

Tan Yan Fu Vincent

Pang James

Chaithanya Bandi

IORA

Resources