Option 1 (2 Col news, 1Col Articles)
Prof. Teo Chung Piaw Recognized as IFORS Distinguished Lecturer
We are thrilled to announce that Prof. Teo Chung Piaw, Executive Director of IORA, has been honoured as the IFORS (International Federation of Operations Research Society)
Ingredients Network Interviews Prof. Mabel Chou
📕 Hear from the authors! 📕 Prof Mabel Chou discusses her book ‘Supply Chain 5.0’, alongside her co-author Prateek Jain, with Ingredients Network, the
Xiao Yangge, Finalist in the 2023 DAS Student Paper Award
🎉 Congratulations to our student Xiao Yangge, who has been a runner-up for the DAS Student Paper Award, an accolade granted by the Decision
Optimisation Analytics Technology shortlisted for Edelman Award
Our hearty congratulations to our collaborator and partner, Optimisation Analytics Technology (OAT), who have been shortlisted as finalists for the prestigious Franz Edelman Award,
In the era of Industry 4.0, technological advancements are profoundly transforming the landscape of manufacturing and supply chain management. A pivotal innovation of the…
In recent years, the sharing economy has witnessed the emergence of numerous services designed to facilitate resource sharing. These services aim to enhance utilisation…
Option 1 (1 Row news, 1 Row Articles)
Prof. Teo Chung Piaw Recognized as IFORS Distinguished Lecturer
We are thrilled to announce that Prof. Teo Chung Piaw, Executive Director of IORA, has been honoured as the IFORS (International Federation of Operations Research Society)
Ingredients Network Interviews Prof. Mabel Chou
📕 Hear from the authors! 📕 Prof Mabel Chou discusses her book ‘Supply Chain 5.0’, alongside her co-author Prateek Jain, with Ingredients Network, the
Xiao Yangge, Finalist in the 2023 DAS Student Paper Award
🎉 Congratulations to our student Xiao Yangge, who has been a runner-up for the DAS Student Paper Award, an accolade granted by the Decision
In the era of Industry 4.0, technological advancements are profoundly transforming the landscape of manufacturing and supply chain management. A pivotal innovation of the…
In recent years, the sharing economy has witnessed the emergence of numerous services designed to facilitate resource sharing. These services aim to enhance utilisation…
Autonomous vehicles, once science fiction, are now taking us towards a new era in transportation. This groundbreaking technology is not just approaching reality; it…
Ever wondered how hospitals manage to handle large number of patients with varied diagnosis and treatments with limited quantity of resources? Besides hiring doctors,…
“Long tail”, or slow-moving products, are inventory items with a low turnover. Long-tail products are a common in many real-world demand distributions and in…
One of the classical problems in Transportation (parcel delivery, bus routing & scheduling, waste collection etc.) deals with identifying the set and sequence of…
Michael Choi
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
mchchoi@nus.edu.sg
Zhang Hanqin
Professor
Stochastic Models And Applied Probability, Algorithms In Stochastic Models, Stochastic Manufacturing Systems, Supply Chain Management, Stochastic Networks And Queues
bizzhq@nus.edu.sg
Feng Yifan
Assistant Professor
Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design
bizyf@nus.edu.sg
Jussi Keppo
Research Director (Industry)
Stochastic control, Statistical analysis of stochastic processes, Optimization, Risk management, Decision making under uncertainty, Strategic incentives, Information economics.
keppo@nus.edu.sg
Zhu Yuting
Assistant Professor
y.zhu@nus.edu.sg
Chaithanya Bandi
Associate Professor
Robust Optimization, Applied Probability, Optimization methods with applications to Control and Analysis of large scale multi-class queueing networks, Mechanism Design, Finance-OM interface
bizchaba@nus.edu.sg
Napat Rujeerapaiboon
Assistant Professor
Robust and distributionally robust optimization, Data-driven optimization, Risk analytics
isenapa@nus.edu.sg
Bar Light
Affiliated Faculty Member
Market design and learning in the context of online marketplaces, Analysis of large economies, Dynamic Optimization and Systems, Risk management
Teo Chung Piaw
Executive Director
Optimisation Under Uncertainty, Discrete Choice, Social Choice, Inventory Theory, Supply Chain Management, Combinatorial Optimisation,
Operations Research.
Operations Research.
bizteocp@nus.edu.sg
Chou Mabel
Associate Professor
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
bizchoum@nus.edu.sg
Wu Yaozhong
Associate Professor
Behavioral Operations Management
yaozhong.wu@nus.edu.sg
Zhou Chao
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
matzc@nus.edu.sg
Ian Yihang Zhu
Assistant Professor
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.
ianyzhu@nus.edu.sg
Cheung Wang Chi
Assistant Professor
Online and data-driven optimization, Revenue management, Resource allocations in supply chains
isecwc@nus.edu.sg
Zhang Junyu
Assistant Professor
junyuz@nus.edu.sg
Zhong Songfa
Associate Professor
behavioral economics, experimental economics, genoeconomics, neuroeconomics
ecszs@nus.edu.sg
Denis Tkachenko
Senior Lecturer
Econometric theory, Macroeconometrics, Financial Econometrics.
ecstd@nus.edu.sg
Toh Kim Chuan
Research Director (Technical)
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.
mattohkc@nus.edu.sg
Xiong Peng
Senior Research Fellow
Data-driven decision-making, Optimization under uncertainty.
bizxio@nus.edu.sg
Chen Gongtao Lucy
Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains
bizcg@nus.edu.sg
Chew Ek Peng
Associate Professor/Deputy Head
Port Logistics and Maritime Transportation, Simulation optimization, Inventory Management
isecep@nus.edu.sg
Meng Qiang
Professor
Transportation Network Modeling and Optimization, Shipping and Intermodal Freight Transportation Analysis, Quantitative Risk Assessment (QRA) of Transport Operations
emq@nus.edu.sg
Chen Gongtao Lucy
Supply Chain Management, Inventory Management, Interface Between Operations And Marketing/finance Risks And Disruptions In Supply Chains
bizcg@nus.edu.sg
Chen Zhi
Assistant Professor
New Product Development, Innovation Sourcing, Economics of AI, Wisdom of Crowds
bizczhi@nus.edu.sg
Robert De Souza
rdesouza@nus.edu.sg
Toh Kim Chuan
Research Director (Technical)
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.
mattohkc@nus.edu.sg
Sorawoot Srisuma
Associate Professor
Econometrics, Empirical Industrial Organizations
ssrisuma@nus.edu.sg
Tong Xin
Assistant Professor
My research interests lie broadly inside probability theory and its applications in statistics, machine learning and nonlinear systems. My recent research involves investigating the behavior of algorithms, e.g. EnKF, MCMC and SGD, when the problem dimension is high. One of the common theme is that we can show stable performance of these algorithms, if certain intrinsic structures can be exploited
xin.t.tong@nus.edu.sg
Zhou Chao
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
matzc@nus.edu.sg
Chan Hock Peng
Sequential analysis, Change-point detection, Monte Carlo methods
stachp@nus.edu.sg
Zhang Junyu
Assistant Professor
junyuz@nus.edu.sg
Lu Jingfeng
Professor
ecsljf@nus.edu.sg
Tan Yan Fu Vincent
Associate Professor (Dean’s Chair)
Information Theory, Machine Learning, Statistical Signal Processing
vtan@nus.edu.sg
He Shuangchi
Associate Professor
Stochastic modeling, analysis, and control. Applications in service, healthcare, and transportation systems
isehes@nus.edu.sg
Wang Guanyi
Assistant Professor
guanyi.w@nus.edu.sg
Chong Juin Kuan
Associate Professor
Behavioural And Experimental Economics , Social Influence
bizcjk@nus.edu.sg
Xiong Peng
Senior Research Fellow
Data-driven decision-making, Optimization under uncertainty.
bizxio@nus.edu.sg
Michael Choi
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
mchchoi@nus.edu.sg
Hu Zhenyu
Associate Professor
Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory
bizhuz@nus.edu.sg
David Nott
Associate Professor
Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.
standj@nus.edu.sg
