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Our Faculty

  • Research Focus

  • Industry Focus

behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Associate Professor
Department of Economics
  • Behavioral Economics, Genoeconomics, Neuroeconomics
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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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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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Port Logistics and Maritime Transportation, Simulation optimization, Inventory Management

Chew Ek Peng

Associate Professor/Deputy Head
Industrial Systems Engineering and Management
  • Maritime
  • Inventory Management, Simulation Optimization
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Robert De Souza

The Logistics Institute Asia Pacific
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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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Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Associate Professor
Marketing
  • Behavioral Economics
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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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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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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
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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

Chou Mabel

Associate Professor
Analytics & Operations
  • Healthcare, Logistics, Manufacturing, Supply Chain
  • Inventory Management, Optimisation Under Uncertainty, Scheduling, Warehouse Management
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Econometrics, Empirical Industrial Organizations

Sorawoot Srisuma

Associate Professor
Department of Economics
  • Econometrics
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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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Optimisation Under Uncertainty, Discrete Choice, Social Choice, Inventory Theory, Supply Chain Management, Combinatorial Optimisation,
Operations Research.

Teo Chung Piaw

Executive Director
Department of Analytics and Operations, NUS Business School
  • Supply Chain
  • Combinatorial Optimization, Discrete Choice Models, Inventory Management, Optimisation Under Uncertainty
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Behavioral Operations Management

Wu Yaozhong

Associate Professor
Analytics & Operations
  • Behavioral OM
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Machine Learning, Operations Research, Statistical Physics

Xu Yunbei

Affiliated Faculty Member
Industrial Systems Engineering and Management
  • Machine Learning, Operations Research, Statistical Physics
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Tan Kok Choon

Associate Professor
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Second order backward stochastic differential equations (2BSDEs), Stochastic control in finance and insurance, Valuation adjustments, Principal-Agent problems, Data analytics and information acquisition, Deep learning methods

Zhou Chao

Mathematics
  • Finance
  • Deep Learning, Stochastic Control
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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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Zhang Junyu

Assistant Professor
Industrial Systems Engineering and Management
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