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Revenue Management

  • 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

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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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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Revenue Management, Risk Analytics, Robust and Distributionally Robust Optimization

Wang Ruiqin

Student
  • Distributionally Robust Optimization, Revenue Management, Risk analytics, Robust Optimization
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Supply Chain and Revenue Management, Smart-City Operations

Ni Tu

Student
  • Smart City, Supply Chain
  • Revenue Management
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Optimization, Supply Chain, Revenue Management

Ke Nan

Student
  • Supply Chain
  • Optimization, Revenue Management
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Optimization, Revenue Management and Pricing, Supply Chain Management

Luanxi Mao

Student
  • Supply Chain
  • Optimization, Revenue Management
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Optimization, Revenue Management, Online Machine Learning

Tang Yuxuan

Student
  • Machine Learning, Optimization, Revenue Management
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Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory

Hu Zhenyu

Associate Professor
Analytics & Operations
  • Supply Chain
  • Dynamic Programming, Game Theory, Revenue Management
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Data analytics, discrete choice analysis, stochastic modeling, optimization, revenue management, operations-marketing interface, sustainability, supply chain management,

Mao Ruijiu

Student
  • data analytics, discrete choice analysis, operations-marketing interface, Optimization, Revenue Management, Stochastic Modeling, supply chain management, Sustainability
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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

Resources