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Teo Chung Piaw is the Stephen Riady Professor and Executive Director of the Institute of Operations Research and Analytics (IORA) at the National University of Singapore (NUS). He holds a PhD in Operations Research from MIT (1996) and has held academic positions including Head of Department and Acting Deputy Dean at NUS Business School. His research focuses on optimization under uncertainty, supply chain management, and combinatorial optimization. He serves as a department editor for Management Science and has led strategic initiatives in Singapore's Smart Nation Program. Teo's educational journey includes a Bachelor of Science (Honors) in Mathematics from NUS (1990). His corporate experience spans roles at Unilever, Hewlett Packard, and PSA International. He has received prestigious awards including the NUS Faculty Outstanding Researcher Award (2003, 2006) and has been a Fellow of the Singapore-MIT Alliance Program. His research addresses operational challenges in smart cities, healthcare scheduling, and supply chain resilience. Notable contributions include work on appointment scheduling under patient no-show behavior, disruption risk mitigation in supply chains, and flexible production network design. He has authored over 100 publications and serves on editorial boards of leading journals like Operations Research and Management Science .

• Operations Research
• Supply Chain Management
• Inventory Theory
• +4 more

Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .

• Health services and systems
• Transportation, logistics and supply chains
• Operations research
• +6 more

Dr. Ian Yi Han is an Assistant Professor at the Saw Swee Hock School of Public Health, National University of Singapore (NUS), and Co-Director of the Center for Health Intervention and Policy Evaluation Research (HIPER). His research focuses on evaluating community-based health interventions, telehealth programs, and the impact of built environments on health behaviors. He holds a Ph.D. in Behavioral Nutrition from Columbia University, an M.A. in Psychology in Education, and a B.Sc. in Neural Science & Psychology from New York University. Key research areas include programme evaluation, population health, health services research, and dietary behaviors. He explores how interventions can improve patient experiences and population health outcomes, particularly through telemedicine and lifestyle modifications. His work has been published in journals like npj Digital Medicine, Metabolism, and the Journal of Nutrition Education and Behavior. Notable projects include studies on blood pressure telemonitoring, diabetes management during the pandemic, and supermarket intervention strategies for obesity prevention. Dr. Han has contributed to policy initiatives through roles such as Senior Research Fellow at the National University Health System and Lecturer at Columbia University. He advises on primary care research and collaborates on global health projects, emphasizing interdisciplinary solutions to public health challenges.

• Programme Evaluation
• Population Health
• Health Services Research
• +4 more

Bert DE REYCK is the Dean of the Lee Kong Chian School of Business at Singapore Management University (SMU) and holds the rank of Professor of Operations Management. He holds a PhD in Business Economics from the University of Leuven, Belgium, along with an MSc in Business Information Systems and a BSc in Business Engineering from the same institution. His career includes roles as Founding Director and Professor at UCL School of Management (2015–2021), Professor and Head of Department at University College London (2009–2015), and various visiting professorships at institutions like London Business School and the University of Ghent. He has held academic positions since 1998, including Assistant and Associate Professor roles at prestigious institutions such as the London Business School and Rotterdam School of Management. DE REYCK’s research focuses on Operations Management, Business Analytics, and Project Management, with notable contributions to AI applications, transportation systems, and strategic sourcing. His work bridges theoretical rigor and practical impact, addressing challenges in project valuation, contract design, and operations optimization. He has received numerous accolades, including INFORMS’ AAS Best Paper Award (2022), multiple Daniel H. Wagner Prize recognitions, and teaching awards from London Business School and UCL. His research has been supported by grants from organizations like Eurocontrol, NHS, and private sector firms such as Vungle and Noble Group. DE REYCK has led significant industry collaborations, including projects on airport operations optimization, pharmaceutical R&D valuation, and AI-driven advertising strategies. His advisory work spans sectors like aviation, healthcare, and transportation, emphasizing real-world problem-solving through analytics and decision science.

• Operations Management
• Business Analytics
• Project Management
• +3 more

Hai Wang is an Associate Professor at the School of Computing and Information Systems, Singapore Management University, and a Visiting Professor at Carnegie Mellon University's Heinz College. His research bridges data-driven optimization, machine learning, and urban systems, with applications in smart cities, transportation, and shared economies. He holds a PhD in Operations Research from MIT and a BS from Tsinghua University. Research Focus: Wang pioneers methodologies in large-scale data analytics and stochastic optimization to address challenges in ride-sourcing, food delivery logistics, and urban mobility. His work emphasizes practical implementations, including collaborations with industry leaders like Meituan and DiDi. Publications: His recent articles (2023-2025) predominantly explore transportation economics, platform operations, and behavioral analytics in service systems, using advanced computational techniques to model complex urban networks. Honors: World's Top 1% Scientist (2024), Transportation Science Meritorious Service Award (2022-2024), INFORMS Best Paper Award (2024) Grants: Principal Investigator for SG$4M National Research Foundation project on AI-empowered urban systems; collaborations with Tokka Labs (SG$156k) and Mobility21 (US$186k) Students: Advises PhD candidates YANG Jingfeng and Rajiv Ranjan KUMAR on optimization and machine learning applications. Leadership: Serves as Associate Editor for Transportation Science , IISE Transactions , and Service Science , and co-leads INFORMS Transportation Science and Logistics Society initiatives.

• Data-Driven Optimization
• Large-Scale Data Analytics
• Machine Learning
• +4 more

Teo Hock Hai is Provost's Chair Professor of Information Systems at the National University of Singapore's School of Computing, serving as Director for Humanities & Social Sciences Research in the NUS Office of the Deputy President. He previously headed the Department of Information Systems (2008-2015) and served as Vice-Dean for Corporate Communications. He holds PhD, MSc, and BSc degrees in Computer and Information Sciences from NUS. His research integrates Health Informatics , Digital Transformation , and Open Innovation , with current projects including multilingual dementia detection tools, AI-powered smoking cessation platforms, diabetes management apps, and crew fatigue prediction systems. His work emphasizes the design of IT artifacts to improve health outcomes, decision-making, and educational systems. His publications focus on AI applications in healthcare decision-making, behavioral responses to environmental data, digital platform architectures, and gamification strategies. Recent work examines AI's role in diagnostic workflows, pollution impact on exercise behavior, and emotion-driven information diffusion during health crises. Awards include the Information Management Research Award MIS Quarterly Reviewer of the Year (2004) Multiple best paper awards at international conferences He leads projects funded by national agencies and industry partners including Singapore Airlines, focusing on healthcare AI and digital resilience. He teaches doctoral courses on contemporary IS theories and mentors graduate researchers in health informatics and digital innovation.

• Health Informatics
• Digital Transformation
• Open Innovation
• +4 more

FANG Xin is a Full-time Faculty Member and Associate Professor of Operations Management at the Singapore Management University (SMU), affiliated with the Lee Kong Chian School of Business . He also serves as Director of PhD Programmes and MPA Research Fellow since 2023. Ph.D. in Operations Management (2014), Carnegie Mellon University B.S. in Information Systems (2008), Fudan University Research Interests: Corporate Social Responsibility in Supply Chains Digital Economy and E-Commerce Platforms Co-opetition and Network Stability Sustainable Operations and Urban Logistics Consumer Behavior and Decision Theory Selected Publications (2013-2025): Focus on supply chain ethics, game theory applications, and digital platform strategies. Notable themes include anti-counterfeiting, CSR dynamics, urban delivery solutions, and transshipment network formation. Scientific Awards: M&SOM Meritorious Service Award (2024) Lee Kong Chian Fellowship (2020) William Larimer Mellon Fellowship (2008-2014) Multiple Dean's Teaching Honor List recognitions (2019-2024) MPA Fellowships in Maritime Business (2021, 2024) Leadership Roles: Program Director, PhD in Business (2023-Present) Program Coordinator, PhD in Business (Operations Management) (2020-2023)

• Operations Management
• Supply Chain Management
• Corporate Social Responsibility
• +12 more

Prof. Keng Hock, Mark Goh is a Professor at the National University of Singapore (NUS) Business School, holding a joint appointment as Director (Industry Research) at The Logistics Institute-Asia Pacific (TLI-AP). He specializes in logistics, supply chain strategy, and operations research. He earned his PhD from the University of Adelaide on a fully funded scholarship and has held adjunct and visiting roles globally. His research focuses on supply chain risk management, healthcare logistics, and strategic decision-making, with over 400 publications in top journals. Notable contributions include work on multi-criteria supplier selection, supply chain resilience, and AI ethics in e-commerce. He has received the Supply Chain Educator Award and is recognized in global directories like *Who’s Who in Asia and the Pacific Nations*. Prof. Goh advises public and private sector organizations on logistics strategy and sits on industry committees such as the World Economic Forum’s Global Advisory Council on Logistics. His current projects emphasize syncretic value-driven logistics models and sustainable recycling frameworks. He leads collaborative research teams addressing global supply chain challenges through interdisciplinary approaches. His articles reflect cutting-edge advancements in AI-driven decision models, risk networks in construction, and data ownership strategies in digital platforms. These contributions underscore his role as a thought leader in logistics and operations research, blending academic rigor with real-world industry applications.

• Transportation and Logistics
• Supply Chain Management
• Operations Research
• +7 more

Buket AVCI is a Full-time Assistant Professor of Operations Management (Education) at the Lee Kong Chian School of Business, Singapore Management University. She holds a PhD in Technology and Operations Management from INSEAD (2014), along with MSc degrees in Management (INSEAD) and Industrial Engineering (Bogazici University), and a BSc in Industrial Engineering from Bogazici University (2005). Her research focuses on Sustainable Operations Management , Supply Chain Management , and Behavioral Operations Management . Notable work includes studies on biomass commercialization, waste-to-energy conversions, and the environmental impacts of electric vehicle infrastructure. Her research has been published in top journals like Management Science and Production and Operations Management . AVCI has received multiple teaching accolades, including the Dean's Teaching Honor List (2015–2024) and the SMU Most Promising Teaching Award nomination. Her awards also include recognition for research excellence, such as the INFORMS TIMES Best Paper Award (2020) and prizes in student paper competitions (2012). Her current research explores sustainable sourcing in urban water management and community-supported agriculture, alongside strategic infrastructure planning for battery switching systems.

• Sustainable Operations Management
• Supply Chain Management
• Behavioral Operations Management
• +3 more

CHENG Shih-Fen is an Associate Professor of Computer Science at Singapore Management University (SMU) and a Principal Research Scientist at Amazon. He holds a PhD in Industrial and Operations Engineering from the University of Michigan and a BSE in Mechanical Engineering from National Taiwan University. His research focuses on modeling and optimization of complex systems in urban computing, decision-making, and transportation, with notable contributions to taxi fleet management, ride-hailing systems, and sustainable logistics. Research interests include Artificial Intelligence , Decision Optimization , Machine Learning , and Urban Sustainability . Notable achievements include prestigious awards from CIKM, AAMAS, and INFORMS. He has advised students such as Qian Shao and Pang Jin Tan, who received SMU Presidential Doctoral Fellowships. Key contributions include the Driver Guidance System (DGS) for taxis and patented taxi demand prediction models. Publications span top venues like IJCAI, AAAI, and Transportation Science. He is a Senior Editor of Electronic Commerce Research and Applications and actively contributes to professional communities like INFORMS and AAAI.

• Artificial Intelligence
• Data Science
• Decision Making & Optimization
• +5 more

Dr. Chou Mabel is Associate Professor in Analytics & Operations at the National University of Singapore. Her research spans inventory management, supply chain optimization, healthcare operations, and flexibility design, with particular focus on uncertainty modeling and operational efficiency. Recent work explores digital transformation in supply chains, including applications of digital twins in humanitarian logistics and risk mitigation strategies for sustainable investments. Her publications demonstrate strong methodological contributions to stochastic optimization, online resource allocation, and process flexibility design. Key research themes include: green technology investment risks, adaptive resource allocation under uncertainty, emission compliance in transportation, and innovative payment mechanisms to stimulate R&D. Her work frequently bridges operations management with marketing strategy and sustainability governance.

• Inventory management
• Supply chain optimization
• Operations-marketing interface
• +4 more

Rakesh Nagi is a Professor and Head of the Engineering Systems and Design Pillar at Singapore University of Technology and Design (SUTD), where he joined in August 2023. He concurrently holds the Donald Biggar Willett Professorship at the University of Illinois, Urbana-Champaign (UIUC), on leave. His academic leadership includes serving as Department Head of Industrial and Enterprise Systems Engineering at UIUC (2013–2019) and as Interim Director of the Illinois Applied Research Institute (2016–2018). Previously, he was Chair of Industrial and Systems Engineering at the University at Buffalo (SUNY) from 2006 to 2012. Education: PhD (1991) and MS (1989) in Mechanical Engineering from the University of Maryland, College Park, with work at the Institute for Systems Research and INRIA, France. BE (1987) in Mechanical Engineering from the University of Roorkee (now IIT Roorkee), India. Research focuses on Data Science, Machine Learning, Operations Research, GPU-accelerated computing, and military applications. Key areas include Big Graphs, High-level Information Fusion, Production Systems, and Multi-Agent Systems. His work often leverages parallel computing and optimization techniques. Recipient of prestigious awards: IISE David F. Baker Award (2022), INFORMS Koopman Award (2021, 2018), and multiple DARPA Graph Challenge recognitions. Contributions span over 100 peer-reviewed articles in top journals (e.g., Operations Research, IEEE Transactions) and conferences. Research projects include Hybrid AI/ML-Optimization for cloud workflows, GPU-accelerated algorithms for multi-target tracking, and interventions against illicit supply chains. Active collaborations with IBM-Illinois and NSF-funded initiatives address strategic resource allocation and network analysis. Labs/Teams: Leads the Engineering Systems and Design Pillar at SUTD and coordinates interdisciplinary projects at UIUC’s Coordinated Science Laboratory.

• Data Science & Analytics
• Machine Learning & AI
• Operations Management
• +7 more

Chew Ek Peng is an Associate Professor and Deputy Head at the Institute of Operations Research and Analytics (IORA), part of the National University of Singapore’s Smart Nation Research Cluster. His research focuses on optimizing port logistics, maritime transportation systems, and inventory management through advanced simulation techniques and data-driven methodologies. His work spans critical areas such as automated port operations, simulation-optimization frameworks, and stochastic systems analysis. Notably, he develops solutions for challenges like AGV scheduling, container relocation problems, and intermodal terminal design. His research integrates machine learning (e.g., hybrid neural networks) with traditional operations research methods. Recent publications highlight contributions to electric vehicle sustainability in carsharing systems, multi-agent reinforcement learning for AGV recharging, and facility location under random utility models. His work emphasizes practical applications in smart logistics, disaster response optimization, and supply chain resilience. Chew Ek Peng collaborates on projects like digital twin validation frameworks and modular simulation pipelines for residential energy modeling. His research has been applied to real-world scenarios such as Singapore’s construction demand forecasting and pandemic impact analyses using modified SEIR models.

• Port Logistics
• Maritime Transportation
• Simulation Optimization
• +3 more

Professor Michelle Cheong Lee Fong is a full-time faculty member at the School of Information Systems, Singapore Management University. She holds leadership roles as Associate Dean for Post-Graduate Professional Education and Director of the Doctor of Engineering program, and is actively involved in designing educational frameworks for technology-driven learning. Current affiliations: Singapore Management University (School of Information Systems) Research focus: Supply chain coordination, spreadsheet modeling, and educational technology Key courses taught: Computer as an Analysis Tool, Financial Modeling, Process Modeling Her research interests in supply chain coordination span strategic hub location optimization, tactical supplier coordination, and operational transportation planning. She also specializes in spreadsheet modeling for business decision-making, having developed textbook resources and case studies for logistics networks and financial planning. Recent work explores AI's role in digital education, including ChatGPT's impact on assessment design and ethical considerations in AI-driven pedagogy. The articles she has written or co-authored demonstrate expertise in operations research, educational technology, and AI applications. Topics include optimization theory, heuristic algorithms for scheduling, and digital assessment frameworks that integrate learning analytics. Her work bridges spreadsheet modeling's pedagogical value with modern challenges like ChatGPT's influence on student learning. Her teaching portfolio includes courses such as IS102 (Computer as an Analysis Tool), IS304 (Process Modeling), and FNCE645 (Financial Modeling). These courses emphasize practical skills in translating business requirements into technology solutions through spreadsheet-based analytical frameworks.

• Supply Chain Coordination
• Spreadsheet Modeling
• Decision Making & Optimization
• +3 more

Marcus ANG Teck Meng is an Associate Professor of Operations Management (Education) at the Lee Kong Chian School of Business, Singapore Management University. He is also the Academic Director and Track Coordinator of the International Trading Institute (ITI). His academic journey began at the National University of Singapore, where he earned dual B.Sc. degrees in Mathematics, followed by an S.M. in High Performance Computing and a Ph.D. in 2008. Ph.D., National University of Singapore, 2008 S.M., High Performance Computing for Engineering Systems, Singapore-MIT Alliance under NUS, 2003 B.Sc. (Hon), Mathematics, National University of Singapore, 2002 B.Sc., Mathematics, National University of Singapore, 2001 His research focuses on the theoretical and applied aspects of operations management, particularly in inventory management , stochastic models , and robust optimization . His work bridges mathematical rigor with real-world applications in supply chains, healthcare, and e-commerce. He has made significant contributions to warehouse storage optimization, hospital resource planning, and online retail fulfillment under uncertainty. The recent articles reflect a strong trend in applying robust optimization and stochastic modeling to logistics and service operations. His research spans domains such as healthcare analytics, e-commerce fulfillment, and inventory systems. Keywords like operations research , supply chain management , and data analytics dominate, with sub-fields including appointment scheduling, risk measures, and warehouse layout optimization. His teaching excellence has been widely recognized: Winner, SMU Undergraduate Excellent Teacher Award (2020) Winner, SMU Undergraduate Innovative Teacher Award (2018) Nominee, SMU Undergraduate Innovative Teacher Award (2021, 2022) Multiple appearances on SMU Dean’s Teaching Honour List (Undergraduate and Postgraduate) MPA Research Fellow (AY2019–2023) Dean’s List, NUS Department of Mathematics (AY1998–2001) He leads the International Trading Institute (ITI) and has been involved in pedagogical innovation through TEL grant-funded projects such as Inn or Out and Pricing Boss . While no formal list of advisees is provided, his role as Academic Director and course coordinator suggests active mentorship and supervision of students in operations and analytics. He has no known lab or research team explicitly mentioned, but his case studies and projects indicate strong industry engagement and applied research leadership.

• Operations Management
• Inventory Management
• Stochastic Models
• +9 more