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Elementor #20614

Professor David D. Yao

International Advisory Board Member
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Professor Georgia Perakis

International Advisory Board Member
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Mr. Marc Dragon

International Advisory Board Member
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Dr. Simon Chong-Wee See

International Advisory Board Member
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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 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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Stochastic control, Stochastic models, Robust decision making and learning, Decentralized optimization, Control of stochastic systems, Applications in financial engineering and Operations Research

Lim Andrew

Deputy Director
Analytics & Operations, Finance
  • Finance
  • Decentralized Optimization, Robust Optimization, Stochastic Control
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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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Research Interest

Application 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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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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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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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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Zhang Junyu

Assistant Professor
Industrial Systems Engineering and Management
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Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow
Analytics & Operations
  • Data-driven Optimization, Optimisation Under Uncertainty
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Qin Hanzhang

Assistant Professor
Industrial Systems Engineering and Management
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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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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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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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Intelligent Transportation Systems, Traffic flow theory and traffic control, Multimodal transportation systems, Shared Mobility, Connected and Automated Vehicles, Machine learning and blockchain applications in transportation

Yang Kaidi

Assistant Professor
Civil and Environmental Engineering
  • Traffic Control, Transportation
  • Blockchain, Machine Learning
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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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Tan Kok Choon

Associate Professor
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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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Transportation Network Modeling and Optimization, Shipping and Intermodal Freight Transportation Analysis, Quantitative Risk Assessment (QRA) of Transport Operations

Meng Qiang

Professor
Civil and Environmental Engineering
  • Maritime, Transportation
  • Network Modeling, Risk analytics
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Stochastic control, Stochastic models, Robust decision making and learning, Decentralized optimization, Control of stochastic systems, Applications in financial engineering and Operations Research

Lim Andrew

Deputy Director
Analytics & Operations, Finance
  • Finance
  • Decentralized Optimization, Robust Optimization, Stochastic Control
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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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Behavioral Operations Management

Wu Yaozhong

Associate Professor
Analytics & Operations
  • Behavioral OM
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Zhu Yuting

Assistant Professor
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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 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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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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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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New Product Development, Innovation Sourcing, Economics of AI, Wisdom of Crowds

Chen Zhi

Assistant Professor
Analytics & Operations
  • Demand Forecasting, Economics of AI, Innovation Sourcing, New Product Development, Wisdom of Crowds
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Research Interest

Application Focus

Decision making under uncertainty

Tan Hong Ming

Alumni, Research Fellow
  • Optimisation Under Uncertainty
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Channel Management, Capacity Management, Agricultural Products Supply Chain, Asymmetric Competition, Data-driven Operation

Zhang Shuguang

Research Fellow
  • Supply Chain
  • Data-driven Optimization
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Applied OR and Data Analytics In Port Logistics, healthcare

Krishnamoorthy Rajeeva Lochanamoorthy

Senior Research Fellow
  • Healthcare, Maritime
  • Applied OR
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Supply Chain Analytics; Intelligent Demand Forecasting; Data Driven Inventory Optimization; Food Supply Chain Resilience; Deep Learning Models and Algorithms; Stochastic Network Modeling and Optimization

Yuan Xue Ming

Senior Research Fellow
  • Supply Chain
  • Deep Learning, Demand Forecasting, Inventory Management, Network Modeling, Optimization, Stochastic Modeling
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Heuristics for robust yard allocation scheduling, Behavior perception-based disruption models for BACAP, Decision model for berth allocation under uncertainty considering service level, Robust optimization model for berth allocation problem

Liu Changchun

Senior Research Fellow
  • Airline, Maritime
  • Robust Optimization
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Sparse estimation, regularization in deep learning, Bayesian optimization

Liu Peng

Adjunct Research Fellow
  • Bayesian models, Deep Learning
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Smart-city Logistics & Operations, Cross-border E-commerce Operations, Platform-based Retailing & Operations

Sun Libo

Research Fellow
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Integer programming and its application

Wang Quanmeng

Alumni, Research Fellow
  • integer Programming
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Privacy and Fairness in Data Mining and Machine Learning; Machine Learning; Evolutionary Multi-Objective Optimization; Constraint Programming

Cheng Peng

Senior Research Fellow
  • Constraint Programming, Machine Learning
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Revenue Management, Online Convex Optimization, Robust Optimization

Li Xiaolong

Alumni, Research Fellow
  • Convex Optimization, Revenue Management, Robust Optimization
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Data-driven Optimization under Uncertainty, Flexible Network Design, Logistics and Supply Chain Management, Bike Sharing System, Airline/airport Operations

Huang Jinjia Aaron

Senior Research Fellow
  • Airline, Bike sharing, Logistics, Supply Chain
  • Data-driven Optimization, Network Modeling, Optimisation Under Uncertainty
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Adversarial machine learning, Distributionally robust optimization

Yue Zhao

Research Fellow
  • Distributionally Robust Optimization, Machine Learning
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Energy Finance, Time Series Analysis, Quantitative Finance, Explainable Machine Learning

Li Wei

Research Fellow
  • Finance
  • Machine Learning
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Yann Fraboni

Research Fellow
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Predictive Analytics with Big Data, Retail Supply Chain Analytics, Data Warehouse Architect, ETL Development, Data modelling and design, Data infrastructure, CRM and Customer Analytics

Tan Siang Long Herman

Adjunct Research Fellow
  • Retail Analytics
  • Applied OR, Supply Chain
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Predictive Analytics with big data, retailing analytics, learning with small data, customer choice modeling

Huang Shanshan

Research Fellow
  • Retail Analytics
  • Discrete Choice Models
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Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow
Analytics & Operations
  • Data-driven Optimization, Optimisation Under Uncertainty
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Optimization over the Stiefel manifold, Riemannian optimization, Nonsmooth optimization.

Xiao Nachuan

Research Felllow
  • Optimization
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Koh Chaik Ming

Senior Research Fellow
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Bayesian Statistics, Machine Learning

Lae Chung Khim

Adjunct Research Fellow
  • Machine Learning
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Healthcare Operations Management

Cheng Guang

Student
  • Healthcare
  • Operations 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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Discrete Optimisation, Optimisation under Uncertainty, Data-Driven Optimisation in transportation

Chua Yonzheng, Jerry

Student
  • Transportation
  • Optimisation Under Uncertainty, Optimization
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Optimization and Transportation network modeling

Liang Jinpeng

Visiting Student
  • Transportation
  • Network Modeling, Optimization
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Optimization, Statistics, Machine Learning

Bretislav Hajek

Student
  • Machine Learning, Optimization
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Optimization, Stochastic Modeling, Risk Management, Supply Chain and Logistics

Wei Zhaoxuan

Student
  • Logistics, Supply Chain
  • Optimization, Risk Management, Stochastic Modeling
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Data-driven Optimization, Healthcare Operations

Hu Sixing

Student
  • Healthcare
  • Data-driven Optimization
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Decision Making Under Uncertainty, Supply Chain Management

Liang Yuchen

Student
  • Supply Chain
  • Optimisation Under Uncertainty
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Supply Chain Management, Machine Learning, Decision Making Under Uncertainty

Wu Meixi

Student
  • Supply Chain
  • Machine Learning, Optimisation Under Uncertainty
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Finance, Decision making under Uncertainty, Machine Learning

Rayner Rebello

Student
  • Finance
  • Machine Learning, Optimisation Under Uncertainty
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Healthcare operations management, Data-driven decision making, Experimental design, Supply chain management

Zhu Huijun (Yvonne)

Student
  • Healthcare, Supply Chain
  • Data-driven decision making, Experimental Design, Healthcare operations management, supply chain management
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Sustainable Operations Management

Li Fuqing

Student
  • Operations Management, Sustainability
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Mixed integer programming, Markov Decision Process, Data-driven service operations

Zhao Yanlu

Visiting Student
  • Service
  • integer Programming, Markov Chain
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Mathematical Modelling, Data Science

An Honglin

Student
  • Optimization
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Optimization, Supply Chain Management

Zhen Chunyan

Visiting Student
  • Supply Chain
  • Optimization
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Lim Kok Tong

Student
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Discrete Optimization

Cheng Minjiao

Student
  • Optimization
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Optimization, Supply Chain Management

Zhang Xiaoyue

Student
  • Supply Chain
  • Optimization
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Dynamic Programming, Data Science, Machine Learning

Billy Tim Anthony

Student
  • Dynamic Programming, Machine Learning
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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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Financial technology, Operations research and machine learning in financial engineering

Jiang Gaozhe

Student
  • Finance
  • Machine Learning, Operations Research
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Federated Learning , Machine Learning

Li Wenqian

Student
  • Learning, Machine Learning
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Behavioral Operation Management, Supply Chain Management

Gao Jia

Student
  • Supply Chain
  • Behavioral OM
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Optimization under Uncertainty, Conic Programming

Chen Li

Alumni
  • Conic Programming, Optimisation Under Uncertainty
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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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