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Our Faculty

  • Research Focus

  • Industry Focus

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

Chaithanya Bandi

Associate Professor
Analytics & Operations
  • Finance
  • Mechanism Design, Operations Management, Queuing Networks, Robust Optimization
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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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Behavioural And Experimental Economics , Social Influence

Chong Juin Kuan

Associate Professor
Marketing
  • Behavioral Economics
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Healthcare analytics, Healthcare operations, Inventory and supply chain management, Platform economics, Operations research

Goh Joel

Director of PhD Program
Analytics & Operations
  • Healthcare, Supply Chain
  • Inventory Management, Operations Research, Platform Economics
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Supply Chain Analytics And Operations Management, Healthcare Analytics, Manufacturing System Planning And Scheduling, Big Data Analytics, Software System Architecture

Pang James

Associate Professor (Practice Track)
Analytics & Operations
  • Healthcare, Manufacturing, Supply Chain
  • Operations Management, Scheduling
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Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.

David Nott

Associate Professor
Statistics and Data Science
  • Bayesian models, Markov Chain
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Stochastic modeling, analysis, and control. Applications in service, healthcare, and transportation systems

He Shuangchi

Associate Professor
Industrial Systems Engineering and Management
  • Healthcare, Service, Transportation
  • Stochastic Control
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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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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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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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Wang Guanyi

Assistant Professor
Industrial Systems Engineering and Management
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Zhu Yuting

Assistant Professor
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Online and data-driven optimization, Revenue management, Resource allocations in supply chains

Cheung Wang Chi

Assistant Professor
Industrial Systems Engineering and Management
  • Supply Chain
  • Data-driven Optimization, Revenue Management
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behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Associate Professor
Department of Economics
  • Behavioral Economics, Genoeconomics, Neuroeconomics
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Zhang Junyu

Assistant Professor
Industrial Systems Engineering and Management
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Retail Analytics, Demand Forecasting with Machine Learning, Inventory and Supply Chain Management

Wang Tong

Associate Professor
Industrial Systems Engineering and Management
  • Demand Forecasting with Machine Learning, Inventory and Supply Chain Management, Retail Analytics
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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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The Institute of Operations Research and Analytics (IORA) is a part of NUS’s Smart Nation Research Cluster.

Innovation 4.0, 3 Research Link, #04-01, Singapore 117602

IORA

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