MiC Trio

Dr. Ziyu Peng is a Post-doctoral Fellow in the Department of Real Estate and Construction at The University of Hong Kong. He holds a PhD in Construction Informatics from HKU, an MSc from UCL and a BEng from Tongji University. He specializes in AI, IoT and blockchain for modular construction and leads MiC Trio (e-InStar, e-TranStar, and e-InstalStar), digitalizing Modular Integrated Construction (MiC) from factory to foundation. The system enabled paperless, traceable remote e-inspection of MiC modules on Hong Kong public housing projects and contributed to a Gold Medal at the 2026 Geneva International Exhibition of Inventions for e-TranStar.

Mr. Zhuang Yaoliang, a PhD student at The University of Hong Kong, contributed to major public housing projects in Tuen Mun, Ma On Shan, and Tak Tin Street. He developed BIM models using Revit and Navisworks, deployed IoT sensor networks for environmental monitoring, designed machine learning-enhanced scheduling algorithms, conducted structural safety monitoring, and built autonomous agents for on-site construction coordination.

Professor Junjie Chen is an Assistant Professor and Deputy Director of iLab from The University of Hong Kong. His research focuses on robotics, smart facility management, and human-robot interaction. He has secured over HK$5.2 million in research grants, published extensively, and received awards for his innovative work. His research has practical industry applications, including defect inspection systems used in public housing and buildings. He is also committed to education, teaching courses, delivering international lectures, and mentoring PhD students.

Zou Yuanben is a PhD student in Digital Construction at The University of Hong Kong, focusing on AI and digitalization in construction. He received a bachelor’s degree in Telecommunication Engineering and Management from Beijing University of Posts and Telecommunications and a master’s degree in Computer Engineering from the National University of Singapore. His background spans IC algorithm engineering, full-stack software development, and AI research at A*STAR on privacy-preserving retrieval, knowledge graphs, and federated learning. His work applies algorithms, AI, and software systems to modern construction.

Hongda An is a PhD student at The University of Hong Kong. He holds an MSc in Digital Engineering Management from University College London and a BEng from Beijing University of Posts and Telecommunications. He contributed to the development of the e-InStar and e-InstalStar platforms for Light Public Housing and public housing projects in Hong Kong, covering frontend and backend system development, BIM integration, and blockchain-based data anchoring. His current research interests include image forensics, large language models, and data synthesis.

Zhuang Meng is a researcher and designer with an interdisciplinary background in architecture and construction project management. He holds an MSc in Construction Project Management from The University of Hong Kong and has experience in sustainable construction, architectural design, and digital modelling. His work bridges the built environment, emerging construction technologies, and visual communication. For the MiC Trio project, he focuses on visual communication, translating complex digital construction workflows and technological concepts into clear, accessible, and engaging visual narratives.