Changhui LIU

Changhui Liu, Doctor in Engineering, Associate Professor, Doctoral Supervisor

Research Areas

Physics-informed AI Theory and Its Applications
Human-Robot Collaborative Assembly and Embodied Intelligent Equipment
Reliability and Predictive Maintenance of Robots and Other Equipment
Machine Vision-Based Intelligent Quality Inspection and Control

Work Experience


Dec. 2022 – Present	Tongji University, Associate Professor
Apr. 2020 – Dec. 2022	Tongji University, Assistant Professor
Aug. 2019 – Mar. 2020	Shanghai Jiao Tong University, Assistant Research Fellow
Aug. 2018 – Aug. 2019	Georgia Institute of Technology, Postdoctoral Fellow
Sep. 2017 – Aug. 2018	The 11th Research Institute of China State Shipbuilding Corporation, Deputy Director (Seconded)
Sep. 2016 – Aug. 2018	Shanghai Jiao Tong University, Postdoctoral Fellow

Education Background


Sep. 2010 – Sep. 2016	Mechanical Engineering, Ph.D. in Engineering (Recommended Admission, Combined M.S.-Ph.D. Program)	Shanghai Jiao Tong University
Sep. 2006 – Jun. 2010	Vehicle Engineering, Bachelor of Engineering	Hunan University

Honors and Awards


2025	Shanghai "Young Scientist" in Scientific Intelligence

2025	Third Prize of Science and Technology Award, Jiangsu Society of Naval Architecture and Marine Engineering (1st recipient)

2025	Best Presentation Award, 5th International Conference on Digital Twin

2025	Outstanding Contribution Award, Additive Manufacturing Frontiers

2024	"Outstanding Graduate Supervisor Team" of Tongji University

2024	"May 4th Youth Medal (Collective)" Commendation of Tongji University

2023	"Most Popular Project Award" at the 16th National Annual Conference of College Students' Innovation, Excellent Supervisor

2022	Best Paper Award (Proceedings of the 15th International Conference on Frontiers of Design and Manufacturing, supported by the National Natural Science Foundation of China)

2021	ASME Blackall Award nomination (Best Paper Award nomination)

2020	Shanghai "Pujiang Scholar"

Academic Appointments


[1]	Review Expert for various research projects (e.g., National Natural Science Foundation of China)

[2]	External Expert, China Society of Automotive Engineers

[3]	Review Expert for High-Quality Scientific Journal Classification in Mechanical Engineering

[4]	Review Expert for Group Standards on Construction Specifications of Digital-Intelligent Factories for Small and Medium-Sized Enterprises

[5]	Director, Quality Branch of Chinese Association for Applied Statistics

[6]	Committee Member, Industrial Big Data and Intelligent Systems Branch of Chinese Mechanical Engineering Society

[7]	Committee Member, Additive Manufacturing Technology Branch of Chinese Mechanical Engineering Society

[8]	Committee Member, Intelligent Factory Special Committee of China Society of Graphics

[9]	Committee Member, Quality and Reliability Branch of Chinese Society of Management Science and Engineering

[10]	Committee Member, System Reliability Engineering Professional Committee, Systems Engineering Society of China

[11]	Editorial Board Member of journals including Additive Manufacturing Frontiers

[12]	IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), Associate Editor

[13]	Session Chair for IEEE CASE 2025, 2023 China Industrial Engineering Annual Conference & the 27th International Conference on Industrial Engineering and Engineering Management, the 12th Summit Forum on Enterprise Application and Practice of Industrial Engineering, 2023 International Annual Conference of Chinese Scholars on Industrial Engineering & Global Chinese Deans and Department Heads Joint Conference on Industrial Engineering and Logistics Management, etc.

[14]	Senior Member of Chinese Mechanical Engineering Society

[15]	Member of the American Society of Mechanical Engineers (ASME Member)

[16]	Senior Member of the Institute of Electrical and Electronics Engineers (IEEE Senior Member)

[17]	Senior Member of China Society of Graphics

[18]	Senior Member of Chinese Society of Management Science and Engineering

[19]	Senior Member of Systems Engineering Society of China

[20]	Senior Member of Chinese Association for Applied Statistics

Publications

Green: Accepted

Red: Submitted


[37]	Leng J, Zhu X, Li J, Liu Z, Dong Y, Zhou X, Liu C, et al. SyntheFormer: A multivariate variable-length time series data-based parallel Transformer model for explainable quality predicting and anomaly tracing[J]. Robotics and Computer-Integrated Manufacturing, 2026, 101: 103304. (SCI, CAS Zone 1 Top, IF=11.4)

[36]	Liu C, Jin K, Sun J, et al. An end-to-end wavelet-based irregular transformer with Gumbel sampling for spatiotemporal welding prediction[J]. Engineering Applications of Artificial Intelligence, 2026, 177: 114931. (SCI, CAS Zone 1 Top, IF=8)

[35]	Liu C, Li H, Liu X, et al. ESAL: An event series-active learning framework for efficient residual stress and flatness prediction in Direct Energy Deposition[J]. Journal of Manufacturing Processes, 2026, 167: 532-544. (SCI, CAS Zone 1 Top, IF=6.8)

[34]	Liu C, Jin K, Zhao Y, et al. A flexible fixture system with integrated position optimization for large thin-walled component assembly[J]. Robotics and Computer-Integrated Manufacturing, 2025, 93: 102929. (SCI, CAS Zone 1 Top, IF=11.4)

[33]	Wang Y, Lu Z, Zhiwen Z, Liu C, et al. Multiple path alignment generative adversarial network for rotating Machinery fault diagnosis with limited data[J]. Advanced Engineering Informatics, 2025, 67: 103550. (SCI, CAS Zone 1 Top, IF=9.9)

[32]	Liu C, Li H, Yu C, et al. Balanced optimization of dimensional accuracy and printing efficiency in FDM based on data-driven modeling[J]. Additive Manufacturing Frontiers, 2025, 4(2): 200220. (SCIE, Emerging Journal Zone 1 Top)

[31]	Liu C, Li X, Du X, Jiang C, Zhou Z. Automatic quality defect detection system for metal bipolar plates based on machine vision[J]. Machine Tool & Hydraulics, 2025, 53(3): 1-7.

[30]	Li X, Liu C, Du X, Jiang C, Zhou Z. Lightweight optimization design of rotating components in multi-station material handling machines[J]. Mechanical Research & Application, 2025, 38(2): 81-84, 87.

[29]	Liu C, Yu C, Wang J, et al. Optimizing fixture layout for compliant part assembly: a Kriging-based metaheuristic[J]. IEEE Transactions on Automation Science and Engineering, 2024, 22: 7642-7656. (SCI, JCR Q1, CAS Top, IF: 5.6)

[28]	Liu C, Wang J, Zhou B, Yu J, Zheng Y, Liu J. Development of Fixture Layout Optimization for Thin-Walled Parts: A Review[J]. Chinese Journal of Mechanical Engineering, 2024, 37(1): 17. (SCI, Flagship Journal in General Mechanical Engineering, JCR Q1, IF:4.6)

[27]	Liu C, Wang J, Zheng Y, Jin K, Yu J, Liu J. Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO[J]. Chinese Journal of Mechanical Engineering, 2024, 37(1): 1. (SCI, Flagship Journal in General Mechanical Engineering, JCR Q1, IF:4.6)

[26]	Liu C, Zheng Y, Wang J, Jin K, Yu J, Liu J. Fixture layout optimization for large thin-walled parts based on improved particle swarm optimization algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2024, 132(7): 3579-3590. (SCI, JCR Q2)

[25]	Jiang C, Liu C, Du X, Li X. A Prior Knowledge-Based SimpleNet Model for Fuel Cell Bipolar Plates Defect Detection[C]//2024 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2024. (EI Conference)

[24]	Yu J, Li S, Liu X, Gao Y, Wang S, Liu C. Dynamic convolutional gated recurrent unit attention auto-encoder for feature learning and fault detection in dynamic industrial processes[J]. International Journal of Production Research, 2023, 61(21): 7434-7452. (SCI, JCR Q1, CAS Top, IF:9.2)

[23]	Liu M, Tang Q, Li Y, Liu C, Yu M. A chattering-suppression sliding mode controller for an underwater manipulator using time delay estimation[J]. Journal of Marine Science and Engineering, 2023, 11(9): 1742. (SCI, JCR Q2)

[22]	Wang J, Fu C, Liu C, Wang D, Shuai S, Ren X. Influence of wax pattern forming process parameters on dimensional deviation of turbine blades[J]. Special Casting & Nonferrous Alloys, 2023: 135-138. (Chinese Core Journal, EI)

[21]	Liu C, Chen K, Jin S, et al. An integrated method for variation pattern recognition of BIW OCMM online measurement data[J]. International Journal of Production Research, 2022, 60(6): 1932-1953. (SCI, JCR Q1, CAS Top, IF:9.2)

[20]	Yu J, Huang J, Liu C, Xia B. Fault Feature of Gearbox Vibration Signals Based on Morphological Filter Dynamic Convolution Autoencoder[J]. IEEE Sensors Journal, 2022, 22(23): 22931-22942. (SCI, JCR Q1, CAS Top, IF:4.325)

[19]	Du J, Liu C, Liu J, et al. Optimal Design of Fixture Layout for Compliant Part With Application in Ship Curved Panel Assembly[J]. Journal of Manufacturing Science and Engineering-Transactions of the ASME, 2021, 143(6): 061007. (SCI, Flagship Journal in Mechanical Manufacturing, JCR Q2, IF: 3.952)

[18]	Yu J, Li S, Shen Z, Wang S, Liu C, Li Q. Deep transfer Wasserstein adversarial network for wafer map defect recognition[J]. Computers & Industrial Engineering, 2021, 161: 107679. (SCI, Emerging Journal Q1, CAS Top, IF:7.9)

[17]	Liu J, Li Z, Liu T, Li L, Liu C, Yang L. A novel compliant assembly variation analysis with consideration of initial deviation and welding shrinkage[J]. Ocean Engineering, 2021, 237: 109636. (SCI, JCR Q1, CAS Top)

[16]	Sun B, Wang J, Shu D. Precision Forming Technology of Large Superalloy Castings for Aircraft Engines[M]. Springer Nature, 2021. (Liu C contributed to Chapter 7: Dimensional Precision Control of Large Castings) (Springer English Monograph)

[15]	Liu C, Du J, Liu T, Zhang Y, Lai X, Shi J. Hybrid Nonlinear Variation Modeling of Compliant Metal Plate Assemblies Considering Welding Shrinkage and Angular Distortion[J]. Journal of Manufacturing Science and Engineering-Transactions of the ASME, 2020, 142(4): 041003. (SCI, Flagship Journal in Mechanical Manufacturing, JCR Q2, IF: 3.952)

[14]	Miao M, Liu C, Yu J. Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals[J]. IEEE Transactions on Instrumentation and Measurement, 2020, 69(9): 7321-7331. (SCI, JCR Q1, CAS Top, IF:5.6)

[13]	Liu C, Liu J, Zhang Y, Jin S, Wang C, Lai X. Study on the Propagation of Dimensional Deviation in the Hull Block Building Process[J]. Journal of Ship Production and Design, 2020, 36(02): 143-151. (SCI)

[12]	Wang C, Liu C, Liu J, Sun J, Zhang Y. Data-driven precision control of CNC plasma cutting for hull plates[J]. Ship Engineering, 2020, 40(11): 23-26. (Chinese Core Journal)

[11]	Liu C, Wang F, Jin S, Li F, Lai X. Permafrost analysis methodology (PAM) for ceramic shell deformation in the firing process[J]. International Journal of Metalcasting, 2019, 13(4): 953-968. (SCI)

[10]	Liu S, Jin S, Zhang X,Liu C, Yang F, Chen J. Coupled predicting surface variation by face milling of engine block/head[C]//International Manufacturing Science and Engineering Conference. ASME, 2018. (EI Conference)

[9]	Chen K, Qu Y, Ding S, Liu C, Yang F. Study on numerical simulation of asymmetric structure aluminum profile extrusion based on ALE method[C]//AIP Conference Proceedings. AIP, 2018, 1960(1): 030002. (EI Conference)

[8]	Jin S, Liu C, Lai X, Li F, He B. Bayesian network approach for ceramic shell deformation fault diagnosis in the investment casting process[J]. The International Journal of Advanced Manufacturing Technology, 2017, 88(1): 663-674. (SCI, JCR Q2)

[7]	Wang D, He B, Liu S, Liu C, Fei L. Dimensional shrinkage prediction based on displacement field in investment casting[J]. The International Journal of Advanced Manufacturing Technology, 2016, 85 (1), 201-208. (SCI, JCR Q2)

[6]	Liu C, Jin S, Lai X, He B, Li F. Influence of complex structure on the shrinkage of part in investment casting process[J]. The International Journal of Advanced Manufacturing Technology, 2015, 77(5): 1191-1203. (SCI, JCR Q2)

[5]	Liu C, Jin S, Lai X, Wang Y. Dimensional variation stream modeling of investment casting process based on state space method[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2015, 229(12): 2057-2068. (SCI)

[4]	Liu C, Jin S, Lai X, Li F. Modeling and optimization of shrinkage rate in thin-walled wax pattern injection process based on RSM-GA method[J]. Journal of Shanghai Jiao Tong University, 2015, 49(9): 1380-1386. (Chinese Core Journal, EI)

[3]	Liu C, Jin S, Lai X, Wang D, Wang Y. Experimental study of injection conditions for a thin-walled wax pattern using response surface methodology[J]. Applied Mechanics and Materials, 2014, 607: 185-192. (EI Journal)

[2]	Liu C, Jin S, Lai X, Luo J, He B, Li F. The Assembly Variation Modeling for the Rear Casing Wax Part Based on Polar Coordinate[C]//International Manufacturing Science and Engineering Conference. ASME, 2014. (EI Conference)

[1]	Wang Y, Jin S, Wang F, Liu C. Simulation analysis of shell deformation during investment casting shell roasting process[J]. Hot Working Technology, 2014, 43(11): 72-75. (Chinese Core Journal)