Prof LIU Cheng’s Group
Department of Systems Engineering, City University of Hong Kong
Research Focus
Prof. LIU Cheng's research group focuses on Aerospace and Civil Structural Health Monitoring, Nondestructive Testing, Smart Structures, Cyber-physical Systems (Digital Twin), and Mechanics of Aerospace Composites. Recently, Prof. Liu's group has integrated multimodal large models and Embodied AI to enhance the perception and autonomy of intelligent engineering systems. A recent key priority of their work is to ensure reliability through Uncertainty Quantification and Explainable AI, transforming complex data-driven models into robust, transparent solutions that can be widely adopted in real-world Industry 4.0 scenarios.
Biography
Prof. Liu received his PhD from Stanford Structures and Composites Lab (SACL) in the Department of Aeronautics and Astronautics at Stanford University. He obtained his M.Sc. in Aeronautics and Astronautics from Stanford University in 2015 and his B.Sc. in Aircraft Design and Engineering, from Nanjing University of Aeronautics and Astronautics (NUAA) in 2013.
News
2024-07-22: New Paper Published
We are pleased to announce that our latest paper on pavement cracks detection using computer vision has been published in the Automation in Construction. Read more
Awards
Sep 2019: Best Poster Paper Award
12th International Workshop on Structural Health Monitoring.
Jun 2016: Stanford Centennial Teaching Assistant Award
Stanford University.
May 2024: Finalist of 2024 Best Transaction Paper Award
Management Committee and Editorial Board of IEEE/ASME Transactions on Mechatronics.
Position(s) Available
I am actively recruiting PhD students in the department of systems engineering at CityU HK. Potential research areas include but are not limited to the following: multiphysics simulation in COMSOL or ABAQUS, Structural Health Monitoring and the application of deep learning or transfer learning in engineering problems. Please email me (cliu647@cityu.edu.hk) for further discussion if you are interested.