Prof LIU Cheng’s Group

Department of Systems Engineering, City University of Hong Kong

Research Focus

Cheng Liu’s research is focused on Physics-Guided Machine Learning for Structural Health Monitoring (SHM), Smart Structures, Cyber-physical Systems/Digital Twin, Robotic Tactile Sensing, and Mechanics of Composite Structures. His recent research includes the fusion of data-driven and physics-based methods for SHM to improve its robustness and explainability, so that SHM can really be widely applied in real-world scenarios and thrive in the era of Industry 4.0.

Biography

Dr. Liu received his PhD from the Department of Mechanical Engineering 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.