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.
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.
Awards and Achievements
- Sep 2019 “Best Poster Paper Award ” 12th International Workshop on Structural Health Monitoring. [URL]
- Jun 2016 “Stanford Centennial Teaching Assistant Award” Stanford University.
- May 2024 “Finalist of 2024 Best Transaction Paper Award for 2024 IEEE/ASME Transactions on Mechatronics” Management Committee and Editorial Board of IEEE/ASME Transactions on Mechatronics.
Patents
- LIU, Cheng & XU, Xuebing, Training And/Or Operating CNN Based Model For Diagnosing Damage In Composite Structure, HK Patent No. 32023076654.7, 8 Dec 2023.
Journal
- Liu, Cheng*. , Chen, Yan. & Xu, Xuebing. (Accepted 18 Nov 2024). Fatigue Life Prognosis of Composite Structures Using a Transferable Deep Reinforcement Learning-based Approach. (*Corresponding Author). Composite Structures.
- Liu, Cheng*. , Chen, Yan. , Xu, Xuebing. & Che, Wangqian. (13 Oct 2024). Domain Generalization-based Damage Detection of Composite Structures powered by Structural Digital Twin. Composites Science and Technology. 258. doi:10.1016/j.compscitech.2024.110908
- Liu, Cheng*. , Chen, Yan. & Xu, Xuebing. (6 Oct 2024). Structural Digital Twin for Damage Detection of CFRP Composites Using Meta Transfer Learning-based Approach. Expert Systems With Applications. 261. doi:10.1016/j.eswa.2024.125458
- Zhang, Yingchao. & Liu, Cheng*. (1 Aug 2024). Crack segmentation using discrete cosine transform in shadow environments. Automation in Construction. 166. doi:10.1016/j.autcon.2024.105646
- Zhang, Yingchao. & Liu, Cheng*. (25 Jun 2024). Real-Time Pavement Damage Detection with Damage Shape Adaptation. IEEE Transactions on Intelligent Transportation Systems. doi:10.1109/TITS.2024.3416508
- Zhang, Yingchao. & Liu, Cheng*. (20 Mar 2024). Network for robust and high-accuracy pavement crack segmentation. Automation in Construction. 162. doi:10.1016/j.autcon.2024.105375
- Xu, Xuebing. & Liu, Cheng*. (1 Mar 2024). Physics-Guided Deep Learning for Damage Detection in CFRP Composite Structures. Composite Structures. 331. doi:10.1016/j.compstruct.2024.117889
- Chen, Yan. , Xu, Xuebing. & Liu, Cheng*. (13 Jan 2024). Few-shot meta transfer learning-based damage detection of composite structures. Smart Materials and Structures. doi:10.1088/1361-665X/ad1ded
- Liu, Cheng*. , Zhang, Peining. & Xu, Xuebing. (12 Jul 2023). Literature Review of Digital Twin Technologies for Civil Infrastructure. Journal of Infrastructure Intelligence and Resilience. doi:doi.org/10.1016/j.iintel.2023.100050
- Liu, Cheng. , Xu, Xuebing. , Wu, Jun*. , Zhu, Haiping. & Wang, Chao. (28 Mar 2023). Deep Transfer Learning-based Damage Detection of Composite Structures by Fusing Monitoring Data with Physical Mechanism. Engineering Applications of Artificial Intelligence. 123. doi:10.1016/j.engappai.2023.106245
- Liu, Cheng*. , Huh, Tae Myung. , Chen, Spencer. , Lu, Lingling. , Kopsaftopoulos, Fotis. , Cutkosky, Mark. & Chang, Fu-Kuo. (1 Dec 2022). Design of Active Sensing Smart Skin for Incipient Slip Detection in Robotics Applications. IEEE/ASME Transactions on Mechatronics. doi:10.1109/TMECH.2022.3224119
- Wu, Jun. , Xu, Xuebing. , Liu, Cheng*. , Deng, Chao. & Shao, Xinyu. (15 Nov 2021). Lamb Wave-based Damage Detection of Composite Structures using CNN and Continuous Wavelet Transform. Composite Structures. 276. doi:10.1016/j.compstruct.2021.114590
- Liu, Cheng*. , Zhuang, Yitao. , Nasrollahi, Amir. , Lu, Lingling. , Mohammad, Haider. Faisal. & Chang, Fu-Kuo. (Jan 2020). Static tactile sensing for a robotic electronic skin via an electromechanical impedance-based approach. Sensors. 20. doi:10.3390/s20102830
- Wu, Jun. , Su, Yongheng. , Cheng, Yiwei. , Shao, Xinyu. , Deng, Chao. & Liu, Cheng. (1 Jul 2018). Multi-sensor Information Fusion for Remaining Useful Life Prediction of Machining Tools by Adaptive Network Based Fuzzy Inference System. Applied Soft Computing. 68. doi:10.1016/j.asoc.2018.03.043
- Huh, Tae Myung. , Liu, Cheng. , Hashizume, Jiro. , Chen, Tony. , Chang, Fu-Kuo. & Cutkosky, Mark. (29 Jun 2018). Active sensing for measuring contact of thin film gecko-inspired adhesives. IEEE Robotics and Automation Letters. 3. doi:10.1109/LRA.2018.2851757
Conference Paper
- Xu, Xuebing. & Liu, Cheng. (Sep 2023). Delamination Damage Detection of CFRP Composite Structures using DSAN-based Deep Transfer Learning Approach. IWSHM 2023.
- Chen, Yan. & Liu, Cheng. (Sep 2023). Meta-Transfer-Learning based Damage Detection of CFRP Composite Structures. IWSHM 2023.
- Huang, Zhe. , Zhao, Hongyi. , Liu, Cheng. , Chen, Xi. , Kopsaftopoulos, Fotis. & Chang, Fu-Kuo. (Sep 2019). High Accuracy Flight State Identification of a Self-Sensing Wing via Machine Learning Approaches. IWSHM 2019.
- Chen, Ruiqi. , Ramachandran, Ashwin. , Liu, Cheng. , Chang, Fu-Kuo. & Senesky, Debbie. (2017). Tsai-Wu Analysis of a Thin-Walled 3D Printed Polylactic Acid (PLA) Structural Bracket. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.
PhD Opportunities
- I am actively recruiting PhD students in the department of systems engineering at CityU HK. Potential research areas include but 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.
Last update date :
19 Nov 2024
