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C0110
Prof. Hung-lin Chi
PolyU Scholars Hub

Prof. CHI Hung Lin

Acting Associate Head (Research) and Associate Professor

Biography

Prof. Hung-Lin Chi joined The Hong Kong Polytechnic University as a Research Assistant Professor at the Department of Construction Management and Intelligence in June 2017 and now becomes an Associate Professor since July 2023. His research background is computer-aided engineering for construction management. Combining his research skills certified through a minor degree in computer science, his research interests include automation, sensing and tracking, and visualization technologies in construction. Prof. Chi was studying in a group of Computer-Aided Engineering under the Department of Civil Engineering at National Taiwan University until 2013 and rewarded his PhD degree. The topic he was working on for PhD study is about the development of an AR-enhanced teleoperation crane and its user interface. After the graduation, he then possessed a research fellow position in Australasian Joint Research Centre for Building Information Modelling at Curtin University from 2013 to 2017. Since Prof. Chi joined the department, his teaching duties cover the construction technology-related subjects. The research funding Prof. Chi secured includes PolyU teaching development grant, Early Career Scheme (ECS) and General Research Fund (GRF) from Research Grant Council (RGC). In 2018, he gained an honour to be an awardee of Discovery Early Career Research Award from Australian Research Council. The proposed research topic of the award is about automatic motion planning considering operational concerns of craneage tasks. His current research includes developing generative model-based AI for construction site layout planning with lifting optimization; integrating generative agents and construction management theories (e.g., Lean) in the VR environment for construction worker and equipment operator training; AI predictive approaches for operators' communication, fatigue, and emotion detection; and digital twin-based system integrations for construction inspection and infrastructure monitoring.

Research Interests

  • Planning of Crane Tasks
  • Virtual/Augmented Reality, Sensing, Tracking and Automation in Construction Management
  • Building Information Modelling

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