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Our Faculty

  • Research Focus

  • Industry Focus

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

Napat Rujeerapaiboon

Assistant Professor
Industrial Systems Engineering and Management
  • Data-driven Optimization, Distributionally Robust Optimization, Risk analytics, Robust Optimization
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Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design

Feng Yifan

Assistant Professor
Analytics & Operations
  • Online Platforms
  • Experimental Design, Learning, Market Analytics
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Sequential analysis, Change-point detection, Monte Carlo methods

Chan Hock Peng

Statistics and Data Science
  • Change-Point Detection, Monte Carlo Methods
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Stochastic control, Statistical analysis of stochastic processes, Optimization, Risk management, Decision making under uncertainty, Strategic incentives, Information economics.

Jussi Keppo

Research Director (Industry)
Analytics & Operations
  • Information Economics, Optimization, Risk Management, Statistical Analysis, Stochastic Control, Stochastic Processes
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Healthcare Service Optimisation, Decision Making And Optimisation Under Uncertainty

SIM Melvyn

Professor
Analytics & Operations
  • Healthcare
  • Optimisation Under Uncertainty
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Zhang Junyu

Assistant Professor
Industrial Systems Engineering and Management
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Zhu Yuting

Assistant Professor
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My research interests broadly lie in the design of algorithms for various applications of data-driven optimization. I have a particular interest in structured learning and estimation problems, as well as problems that involve incentive and policy design for decision-making agents.

Ian Yihang Zhu

Assistant Professor
Analytics & Operations
  • Algorithms, Data-driven Optimization, Learning
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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

Soh Yong Sheng

Mathematics
  • Optimization
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Robert De Souza

The Logistics Institute Asia Pacific
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Mathematical optimization, particularly mixed-integer nonlinear programming and nonsmooth optimization, along with their applications in operations research, data science, and other related fields.

Shaoning Han

Affiliated Faculty
Mathematics
  • data science, Mathematical optimization, mixed-integer nonlinear programming, nonsmooth optimization, Operations Research
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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

Michael Choi

Statistics and Data Science
  • Markov Chain, Stochastic Processes
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Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains

Chen Gongtao Lucy

Analytics & Operations
  • Finance, Supply Chain
  • Inventory Management, Risk Management
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Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Associate Professor
Marketing
  • Behavioral Economics
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Lu Jingfeng

Professor
Department of Economics
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Econometric theory, Macroeconometrics, Financial Econometrics.

Denis Tkachenko

Senior Lecturer
Department of Economics
  • Econometrics, Macroeconomics
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Stochastic Models And Applied Probability, Algorithms In Stochastic Models, Stochastic Manufacturing Systems, Supply Chain Management, Stochastic Networks And Queues

Zhang Hanqin

Professor
Analytics & Operations
  • Manufacturing, Supply Chain
  • Queuing, Stochastic Modeling
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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
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Market design and learning in the context of online marketplaces, Analysis of large economies, Dynamic Optimization and Systems, Risk management

Bar Light

Affiliated Faculty Member
Analytics & Operations
  • Analysis of large economies, Dynamic Optimization and Systems, Market design and learning in the context of online marketplaces, Risk Management
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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
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