جستجوی استاد راهنمای دانشگاهی

Chen Zhi is an Assistant Professor in the Department of Analytics and Operations at the NUS Business School, National University of Singapore, where he has been employed since July 2020. His academic work focuses on operational challenges in innovation-driven value chains, with particular expertise in new product development, innovation sourcing, AI economics, and wisdom of crowds methodologies. Dr. Chen received his Ph.D. in Management (Decision Sciences) from INSEAD (2014-2020) and his B.E. with First Class Honors in Industrial and Systems Engineering from the National University of Singapore (2009-2013). During his academic journey, he completed an overseas exchange at the Georgia Institute of Technology and a research internship at École Polytechnique in France. Chen's research spans two primary streams. The first addresses R&D phase challenges in new products, examining how firms can optimally design supplier bases and informational policies to procure innovation from suppliers, with recent focus on policy impacts on AI-based product development such as autonomous vehicles. The second stream investigates demand forecasting for new products, exploring how to aggregate diverse expert insights into consensus forecasts and quantify underlying uncertainty through obtained forecasts. His publication record demonstrates a strong trajectory in top-tier operations and management journals, with recent work appearing in Management Science, Manufacturing & Service Operations Management, and International Journal of Forecasting. Chen's research shows increasing focus on AI development challenges, uncertainty quantification in forecasting, and strategic approaches to innovation sourcing in complex technological environments. At NUS Business School, Chen teaches Managerial Operations and Analytics for the MBA program and Decision Analytics Using Spreadsheets for undergraduate students. Previously at INSEAD, he taught tutorials for Uncertainty, Data and Judgment, and Production and Operations Management courses.

• Innovation Sourcing
• AI Development
• Wisdom of Crowds
• +۲ مورد دیگر

Dr. Hong Ming Tan is a Senior Lecturer at the Department of Analytics and Operations, NUS Business School, and a Research Fellow at the Institute of Operations Research and Analytics (IORA) at National University of Singapore. He holds a PhD in Operations Research and Analytics (2021), MSc in Mathematics (2017), and BSc (Hons) in Applied Mathematics and Economics (2013) from NUS. Doctor of Philosophy, Operations Research and Analytics (2021) Master of Science, Mathematics (2017) Bachelor of Science (Hons), Applied Mathematics and Economics (2013) His research spans Business Analytics , Machine Learning , Operations Research , and Pharmacogenetics . Recent work includes: EcoVal Framework for efficient data valuation in ML Personalized Mental Health through adaptive testing and clustering Antibiotic Resistance modeling using antiresistic strategies CYP2D6 Methylation prediction for precision medicine His publications demonstrate expertise in ML optimization , healthcare informatics , behavioral analytics , and decision science . Current projects include AI-led Smart Data Centre Management and SIA Corp Lab research. He serves as Chair of the Department Finance Committee and advisor to student clubs like Business Analytics Consulting Team. His work addresses real-world challenges in industrial operations, healthcare diagnostics, and educational innovation.

• Business Analytics
• Operations Research
• Machine Learning
• +۵ مورد دیگر

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
• +۳ مورد دیگر

Peng Zheng is an Adjunct Professor in the Department of Analytics & Operations (DAO) at the National University of Singapore (NUS) Business School, appointed since January 2022. He holds a Master's degree in Quantitative Finance from NUS and a Bachelor's degree in Mathematics from a university in China. Prior to his academic role, he worked in banking, consulting, and finance sectors. His research interests focus on Mathematical Finance, Data Science, Mathematical Modelling, and Business Analytics. He teaches courses such as Decision Analytics using Spreadsheets , Programming for Business Analytics , and Real Estate Data Analytics at the NUS Business School. His academic contributions emphasize bridging theoretical concepts with practical applications in business analytics and financial modeling. Peng Zheng's professional background in finance and academia underscores his expertise in applying quantitative methods to real-world business challenges.

• Mathematical Finance
• Data Science
• Mathematical Modelling
• +۱ مورد دیگر

KE Ping Fan is a Full-time Assistant Professor in the Department of Information Systems at the School of Computing and Information Systems, Singapore Management University (SMU). They hold a PhD from the Hong Kong University of Science and Technology (2018) and specialize in areas intersecting digital transformation, cybersecurity, and information systems management. Educational Background: PhD, Hong Kong University of Science and Technology, 2018 Research Interests: Focus on the trustworthiness of digital platforms, governance of AI/software systems, combating misinformation in digital environments, and integrating security frameworks into business processes. Their work bridges technical solutions with strategic organizational priorities in cybersecurity and digital transformation. Teaching: Courses include Business Process Analysis and Solutioning, Cybersecurity and Risk Management, and Spreadsheet Modeling and Analytics. Contact: pfke@smu.edu.sg | +65 68261346.

• Information Systems & Technology
• Cybersecurity
• Information Systems Management
• +۵ مورد دیگر

Manoj Thulasidas is a Full-time Faculty member and Associate Professor of Computer Science (Education) at the School of Computing and Information Systems , Singapore Management University. His research focuses on technology-enhanced learning, data analytics, and decision support systems, with applications in digital transformation and social analytics. PhD, Syracuse University, 1993 Teaching areas: Business Modelling using Spreadsheets, Data Analytics Contact: +65 68289625 | manojt@smu.edu.sg

• Artificial Intelligence
• Data Science
• Machine Learning
• +۶ مورد دیگر

Akshat Kumar is an Associate Professor (Research Track) in the School of Information Systems at Singapore Management University (SMU). He holds a PhD in Computer Science from the University of Massachusetts Amherst (2013) and was previously a Research Scientist at IBM Research India. Research Focus : His work lies at the intersection of AI, Machine Learning, and Multiagent Systems, with applications in urban mobility optimization (e.g., autonomous vehicles, maritime traffic management), decision-making under uncertainty, and computational sustainability. He leads the Representation, Learning, and Reasoning (RLR) Lab, which develops algorithms for large-scale multiagent coordination using reinforcement learning and probabilistic inference. Awards & Grants : Recipient of the Lee Kong Chian Fellowship (2020-22), Best Paper Awards at AAAI (2017) and ICAPS (2014), and featured in IEEE’s 'AI’s Ten to Watch' (2018). Principal Investigator (PI) of Singapore MOE Tier-2 grants totaling S$1.1M for projects like 'Data Driven Collective Decision Making For Urban System Optimization' (2019–2021). Education & Teaching : Taught courses on computational thinking, artificial intelligence, and spreadsheet modeling. Advises PhD students and research engineers on topics like reinforcement learning, maritime traffic simulation, and cloud security policy design. Impact : His research addresses challenges in urban systems, such as optimizing autonomous taxi fleets, reducing maritime congestion, and improving smart grid management. Collaborations include Fujitsu-SMU Urban Computing Lab and Singapore port authorities.

• Artificial Intelligence
• Machine Learning
• Multiagent Systems
• +۴ مورد دیگر

Michelle Cheong is a Professor of Information Systems (Education) at the School of Computing and Information Systems , Singapore Management University. She serves as Associate Dean for SCIS Post-Graduate Professional Education and Director of the Doctor of Engineering program. PhD from Nanyang Technological University (2005) Key teaching areas: Computer as an Analysis Tool, Operations Analytics, Financial Modeling Research focuses on Supply Chain Coordination, Spreadsheet Modeling, and Technology-Enhanced Learning Her research spans strategic, tactical, and operational supply chain design, leveraging combinatorial auctions and Lagrangean Relaxation for coordination. She also explores spreadsheet modeling pedagogy, emphasizing practical business problem-solving. Recent publications highlight her work in logistics network design, supply chain pricing, and spreadsheet-based educational tools. These studies integrate optimization models with industry applications in chemical, beer distribution, and hospitality sectors. Consultancy projects include collaborations with DHL, YCH Group, and Asia Pacific Breweries on network optimization and pricing strategies.

• Supply Chain Coordination
• Spreadsheet Modeling
• Logistics Network Design
• +۳ مورد دیگر

Kim Heng Chen is a Senior Lecturer in the Department of Business, Analytics & Operations at the NUS Business School, National University of Singapore since January 2022. His research focuses on Statistics, Accounting & Auditing Accountability, Banking & Finance, and Econometrics. He teaches courses such as Decision Analytics Using Spreadsheets (DAO1704), Operations and Technology Management (DAO2703), Sustainable Operations Management (DOS3714), and Sustainable Supply Chains (DOS5104). Education details: Not explicitly stated in provided text. His research interests emphasize quantitative methods in business analytics, financial systems analysis, and econometric modeling. Teaching activities highlight practical applications of decision-making tools and sustainable operations strategies in modern business environments.

• Statistics
• Accounting, auditing and accountability
• Banking, finance and investment
• +۱ مورد دیگر