Su-Ann Nair is an Adjunct Lecturer at the NUS Business School's Strategy and Policy department since 2022. She concurrently serves as Head of Executive Operations at Google Cloud APAC since 2018. Previously, she was a management consultant at McKinsey & Company (2014-2018) and a Joint Intelligence Officer in the Singapore Armed Forces (2003-2013). Education: MBA, Stanford Graduate School of Business (2015) MPhil in Micro & Nanotechnology Enterprise, University of Cambridge (2007) BSc Chemistry summa cum laude, University of Chicago (2006) Her teaching focuses on Technological Innovation (BSN3701/TR3008). Research interests span strategic technology adoption, innovation ecosystems, and enterprise-scale operational strategy. She holds multiple scholarships and honors including Phi Beta Kappa and Singapore Armed Forces recognitions.
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 .
LEONG Tze Yun is a Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). She holds S.B., S.M., and Ph.D. degrees in Computer Science from the Massachusetts Institute of Technology (MIT). Her academic career spans both research and industry experience, with significant contributions to the fields of artificial intelligence and health informatics. Dr. Leong's educational background includes: Ph.D. in Electrical Engineering & Computer Science, Massachusetts Institute of Technology S.M. in Electrical Engineering & Computer Science, Massachusetts Institute of Technology S.B. in Computer Science & Engineering, Massachusetts Institute of Technology Her primary research interests focus on responsible AI, dynamic decision-making, neurocognitive modeling, reinforcement learning, artificial general intelligence, and biomedical and health informatics. Her work bridges the gap between theoretical AI development and practical healthcare applications, with an emphasis on ethical considerations and human-centered design. She directs the Medical Computing Laboratory at NUS, a multidisciplinary research program exploring human-aware decision modeling in complex environments. Analysis of her recent publications reveals a strong trend toward responsible AI development, with significant contributions to reinforcement learning techniques, causal inference methods, and applications of AI in healthcare. Her work increasingly integrates ethical considerations with technical AI development, particularly evident in her 2024 publications on medical AI and human values. Her scientific recognition includes: Fellow of the American College of Medical Informatics (ACMI) Founding Fellow of the International Academy of Health Sciences Informatics (IAHSI) Member of Eta Kappa Nu (Honor Society for Electrical Engineers) Dr. Leong has supervised numerous doctoral and master's students throughout her career, many of whom have gone on to prominent positions at institutions like Google, Netflix, Mayo Clinic, and academic institutions worldwide. Her advisory work extends to significant policy development, including contributions to WHO guidance on ethics and governance of AI for health. She currently serves on the World Health Organization (WHO) Expert Group on Ethics and Governance of AI for Health, the World Economic Forum (WEF) AI Governance Alliance, and the Advisory Council on AI in Uzbekistan. Her laboratory work focuses on developing adaptive systems that evolve with changing technical functionalities, system infrastructures, usage patterns, and operational contexts, with applications spanning prediction and decision analytics, human-aware robotics, game artificial intelligence, personalized education, and assistive care for elderly with neurocognitive disorders.
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 .
Dr. ONG Ghim Ping Raymond is an Associate Professor and Deputy Head (Research) at the Department of Civil and Environmental Engineering, National University of Singapore (NUS). He concurrently serves as Director (Operations) at the Coastal Protection and Flood Resilience Institute (CFI) Singapore. His expertise spans sustainable pavements, multimodal transport infrastructure, and urban mobility systems. Dr. Ong holds a B.Eng (Civil) with First Class Honours and a PhD from NUS, followed by postdoctoral research at Purdue University. He has authored/co-authored over 85 peer-reviewed journal articles and 120 conference papers. His research focuses on circular economy applications in infrastructure, car-lite urban design, and mega-projects like Tuas Port and Changi Airport expansions. Dr. Ong actively engages in policy advisory roles, serving on international committees for ASCE, ASTM, and EASTS. He has received prestigious awards including the Alfred Noble Prize (ASCE) and Takeuchi Yoshio Award (OCDI). His teaching accolades include multiple NUS Faculty of Engineering commendations. He advises on critical infrastructure projects for agencies like Changi Airport Group and Defence Science and Technology Agency. Dr. Ong frequently contributes to public discourse on transport and urban planning via media interviews and policy consultations.
**Dr. JIN Chen** is an **Associate Professor** in the **Department of Information Systems and Analytics** at the **National University of Singapore (NUS) School of Computing**. He holds a PhD in Industrial Engineering and Management Science from Northwestern University (U.S.) and joined NUS in 2018 after postdoctoral work at the Wharton School, University of Pennsylvania. His research focuses on **online platforms**, **information systems operations**, and **digital transformation**, with a particular interest in addressing challenges like fake information dissemination and platform competition. His work bridges **operations management** and **information systems**, emphasizing practical applications in e-commerce and fintech. **Education**: B.Sc. (Shanghai Jiao Tong University) M.Sc. & Ph.D. (Northwestern University, U.S.) **Research Interests**: Platform design and competition Information bundling and pricing strategies Consumer search behavior Right-to-repair policies and environmental impacts **Awards & Recognition** (selected): Finalist, MSOM Service Management SIG Best Paper Award (2024) Nomination for NUS Young Researcher Award (2022–2024) Winner, INFORMS ENRE Young Researcher Prize (2022) Teaching Excellence Awards (2021–2023) **Key Projects**: Optimal information structure design to combat fake orders/reviews Environmental and welfare implications of right-to-repair laws Strategic bundling and pricing in multi-service platforms
Prof Kulwant Singh is a Professor of Strategy and Policy at the NUS Business School, National University of Singapore. His research focuses on strategy, management, organizational behavior, applied economics, and business systems in regional and global contexts. He holds a permanent academic appointment since January 2022. Teaching philosophy emphasizes contextualizing content for Singapore/Asia-Pacific business environments through case studies and combining theoretical frameworks with practical applications. He prioritizes interactive seminars to enhance student engagement and theoretical understanding in strategy education. Research interests include corporate diversification strategies, political ties' impact, alliance portfolio management, institutional transitions, and innovation dynamics in emerging markets. His work bridges universal strategic theories with Asia-specific business practices. Award-winning contributions include developing teaching materials for regional business contexts and advancing understanding of strategic competition in complex environments. Active in academic leadership through conference organization and editorial roles in strategy research.
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.
Tan Chuan Hoo is an Associate Professor (tenured) and Deputy Head of the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. With a distinguished academic career spanning multiple continents, he brings expertise in digital transformation, healthcare informatics, and enterprise systems to his teaching and research. His educational background includes: B.Sc. (1st Class Honours, National University of Singapore) M.Sc. (Accelerated, National University of Singapore) Ph.D. (National University of Singapore) Professor Tan's research focuses on digital transformation, particularly designing, deploying, and evaluating technological innovations. His work centers on two critical areas: digital commerce (provision of digital services such as online shopping aids) and digital organization (ensuring operational efficiency and performance). His research has significant implications for healthcare institutions, corporations, and crisis preparedness and response organizations. He conducts comprehensive analyses using various scientific methodologies including field experiments and mixed methods to understand how digital technologies reshape business operations and enhance societal well-being. His publication record shows a consistent focus on information systems, with recent articles (2020-2025) emphasizing healthcare informatics, digital transformation, and open innovation. His work demonstrates a clear trajectory toward understanding how technology intersects with organizational effectiveness and societal implications, with increasing attention to healthcare applications and digital crisis management. Professor Tan has received numerous prestigious awards for his contributions to the field: Faculty Teaching Excellence Award, NUS (2024, 2017) Information Management Research Award, China Information Economics Society (2023) Reviewer Hall of Fame, Journal of AIS (2020) Outstanding Associate Editor Award, MIS Quarterly (2016) Best Reviewer Award, Journal of AIS (2016) INFORMS ISS Design Science Award (2013) Honorable Mention, Journal of AIS (2015) He has successfully advised PhD students and collaborated with public and private entities on research projects. His editorial service as Associate Editor for Information Systems Research and MIS Quarterly, along with board memberships at other leading journals, demonstrates his significant influence in the field. Professor Tan has secured research grants supporting projects on digital crisis preparedness, disaster response technology, and healthcare digitalization. His research group focuses on understanding how technology can be designed and implemented to support organizations in crisis situations, enhance healthcare services, and improve digital commerce. Current projects include examining digital crisis management, technology for disaster response, and the digital transformation of healthcare services.
Thompson S.H. Teo is a Professor in the Department of Analytics and Operations (DAO) at the National University of Singapore (NUS) Business School. He holds editorial roles in top journals including European Journal of Information Systems, International Journal of Information Management, and Communications of the AIS. His research spans information systems strategy, business-IT alignment, e-commerce, sustainability, and AI's societal impacts. With over 200 publications, he ranked #143 globally in 2023 among business scientists (research.com) and was recognized in Stanford's top 2% global scientists (2021-2023). Awards include the Best Associate Editor Award (2017) and AIS Distinguished Membership. Thompson's research interests include IT adoption, cyberloafing, supply chain digitalization, and green innovation. He teaches courses on innovation, Industry 4.0, and strategic IT at undergraduate, masters, and executive levels. Notable contributions include frameworks for commute experience analysis and AI adoption market signals. His work bridges theory and practice, addressing challenges in sustainability, organizational behavior, and digital governance. Affiliations: NUS Business School, Distinguished Editorial Advisory Board (IJoIM), Senior Member (INFORMS) Grants & Leadership: Extensive editorial leadership, supervised China Scholarship Council PhD students, and executive programs on innovation design thinking. Key Contributions: Over 270 publications, four co-edited books on IT/e-commerce, and policy-relevant studies on environmental regulations and green tech adoption. His research often employs mixed methods (e.g., QCA for corruption analysis, PLS-SEM for cyberloafing models) and addresses global issues like fake news mitigation via ChatGPT and pandemic-era customer engagement in short videos.
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.
Ye Zhisheng is the Dean’s Chair and Associate Professor in the Department of Industrial Systems Engineering & Management at the National University of Singapore (NUS). His research focuses on reliability engineering, inventory control, emergency response systems, and statistical modeling. He holds a PhD in Industrial and Systems Engineering from NUS, along with a BEng in Material Science and Engineering and a BEco in Economics from Tsinghua University. His work emphasizes practical applications in mission-critical systems, predictive maintenance, and data-driven decision-making. Current research initiatives include optimal maintenance policies for manufacturing systems, degradation analysis of bearings, and federated learning approaches for battery lifecycle prediction. He has pioneered methods for integrating physics-informed neural networks into prognostics and health management (PHM) systems. Key technical contributions span advanced statistical methodologies like sieve estimation for survival data, phase-type distributions modeling, and condition-based maintenance optimization. His interdisciplinary approach bridges operations research, mechanical engineering, and computer science to address complex reliability challenges. Recent projects include resilient consensus-based power grid management and contamination source identification frameworks. Notable collaborations involve developing intelligent cross-domain fault diagnosis systems using transformer networks and advancing the Internet of Federated Things (IoFT) for distributed data analytics. His work has been applied in aerospace, telecommunication infrastructure, and medical emergency response systems.
Jochen Wirtz is the Vice Dean of MBA Programmes and Professor of Marketing at the National University of Singapore (NUS Business School). He holds a Ph.D. in services marketing from the London Business School and has held leadership roles, including founding director of the UCLA–NUS Executive MBA Programme and member of the NUS Teaching Academy. His research focuses on service management, intelligent automation, AI, and corporate digital responsibility. A globally recognized authority, he has authored over 20 books, including Services Marketing: People, Technology, Strategy (9th ed.) and Intelligent Automation , with translations in 26+ languages. His awards include the Christopher Lovelock Career Contributions Award (AMA) and the Academy of Marketing Science’s Outstanding Marketing Teacher Award. He advises international firms like Accenture and KPMG and is involved in start-ups such as Dataswyft and TranscribeMe. His work emphasizes ethical AI, service robots, and cost-effective excellence, contributing to both academic research and industry practice. Wirtz’s research spans service robots, platform economies, and luxury services. His recent studies explore generative AI’s impact on service encounters, corporate digital responsibility, and B2B customer experience strategies. He actively engages with industry through consulting, keynote speaking, and executive education.
Alvin NG Theng Haw is an Adjunct Associate Professor at the Division of Information Technology and Operations Management, College of Business (Nanyang Business School), Nanyang Technological University (NTU). He combines over 20 years of global leadership experience in Sales and Product Management with academic roles, including serving as a Senior Career Fellow and executive coach for NTU’s Global Executive MBA and Full-Time MBA programmes. His work focuses on integrating Digital Transformation, Internet of Things (IoT), and Artificial Intelligence for Business into strategic frameworks. Research Interests : Alvin specializes in leveraging Digital Transformation and Advanced Technologies (IoT, AI) to drive business innovation. His publications in materials science demonstrate interdisciplinary applications of these technologies to fields like Soft Robotics, Self-Healing Materials, and Wearable Electronics. His expertise extends to Smart Cities, Sustainability Technology, and Industry 4.0, where he applies business strategies to technological challenges. Contributions : As a founding member of the World Economic Forum’s Digital ASEAN Skills Task Force, he advocates for digital literacy and skills development. His industry experience includes roles in networking, software, cloud platforms, and biorenewable materials, reflecting a bridge between business and engineering.
Yang Kaidi is an Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS), affiliated with the Institute of Operations Research and Analytics (IORA) within NUS’s Smart Nation Research Cluster. Their research focuses on intelligent transportation systems, traffic control, shared mobility, and machine learning applications in mobility. Key interests include connected and automated vehicles, privacy-preserving data sharing, and reinforcement learning for traffic optimization. Research highlights include developing parameter privacy-preserving strategies for mixed-autonomy platoons, enhancing safety in autonomous driving via transformer-based trajectory prediction, and optimizing traffic signal timing using connected vehicle data. Their work bridges theoretical control systems with practical urban mobility challenges, addressing issues like ridesourcing-public transit integration, modular transit service operations, and weaving section management in mixed traffic environments. Recent publications emphasize real-time control frameworks, cooperative safety mechanisms, and data-driven solutions for urban and highway systems. Yang’s interdisciplinary approach integrates robotics, optimization, and cybersecurity to advance smart transportation infrastructure. Their contributions are particularly notable in privacy-preserving techniques for traffic state estimation and federated learning applications. While no specific awards or grants are listed, their research aligns with Singapore’s Smart Nation initiatives through IORA’s strategic focus areas. Yang’s work has implications for future traffic management systems, autonomous vehicle coordination, and sustainable urban mobility solutions.
