Education

• Ph.D., Hong Kong University of Science and Technology, Hong Kong, 1998
• M.E., Tianjin University, China, 1993
• B.E., Tianjin University of Science and Technology, China, 1988

Teaching Interests

Professor Jiao’s teaching interests encompass core mechanical engineering courses with an emphasis on engineering design, manufacturing systems engineering, and intelligent decision systems. He is committed to integrating theory and application, providing both undergraduate and graduate students with a solid foundation in mechanics principles alongside practical computational skills.

Research Interests

Professor Jiao's research activities are geared toward a good leverage of practical relevance and academic rigor. He is interested in a number of investigations related to an extended enterprise, involving engineering design and product development (design theory and methodology, product family and product platform, customer requirement management, affective design and Kansei engineering, design project management, service modeling and service delivery system design), enterprise engineering and industrial systems (reconfigurable manufacturing systems, production planning and control, supply chain management and engineering logistics, system modeling and simulation, sales/marketing manufacturing interface, global manufacturing and operations, mass customization), as well as manufacturing and management information systems (artificial intelligence in design and manufacturing, industrial applications of e-commerce, virtual enterprise).

Recent Publications

• X Gong, M Song, RJ Jiao, L Zhang, Blockchain-Based Smart Contracting Services for Digital Supply Chain Operations in Crowdsourced Manufacturing, Emerging Technologies in Supply Chains: Towards Digital Transformation, 137-168, 2026
• LL Zhang, RJ Jiao, G Huang, BL Maccarthy, Extended guest editorial: Smart product platforming in the industry 4.0 era and beyond, International Journal of Production Economics 280, 109490, 2025
• Y Fei, M Song, RJ Jiao, AI-assisted Intelligent Discrete-Event Simulation Platform for Manufacturing Systems, Proceedings of the 15th International Conference on Industrial Engineering …, 2025
• M Song, X Gong, RJ Jiao, R Moore, A blockchain-enabled information as a service (IaaS) system for crowdsourced manufacturing: A crowdsourcing case study of tank trailer manufacturing, Journal of Industrial Information Integration 45, 100844, 2025
• J Peng, RJ Jiao, F Zhang, Machine Learning-Powered Dynamic Fleet Routing Towards Real-Time Fuel Economy with Smart Weight Sensing and Intelligent Traffic Reasoning, Systems 13 (11), 1033, 2025