
Positional Title: Associated Professor
Email: gangchen *AT* scut.edu.cn
Working For: Shien-Ming Wu School of Intelligent Engineering
Zip Code: 510640
Graduated School: University of California, Davis
Office: D1-a508
Final Degree: Ph.D.
Telephone:
Mentor Type:
Gang Chen, PhD, is an associate professor at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology. In 2012 and 2015, he received his undergraduate and master's degrees from Shanghai Jiaotong University, respectively, and in 2020, he received his Ph.D. from the University of California, Davis.
His research areas include control theory, formal methods, and machine learning. Specifically, it includes the design, simulation, verification and condition monitoring of cyber-physical systems, and the control of intelligent systems based on formal methods. Lab page: srislab.cn.
Students who are passionate about automation, mathematics, machinery, and computer science are welcome to apply for doctoral and master's degree programs. Undergraduate students are welcome to participate in research training. Welcome to contact us by email!
2020 -2021 School of Electrical and Electronic Engineering Nanyang Technological University, Research Fellow.
2021- Present, Associate Professor, Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.
2008-2012 B. Sc., Shanghai Jiao Tong University, School of Mechanical Engineering
2012-2015 M.Eng., Shanghai Jiao Tong University, School of Mechanical Engineering
2015-2020 Ph.D., University of California, Davis, Department of Mechanical Engineering and Aerospace Engineering
Cyber-physical system design, simulation and formal verification; Predictive maintenance for complex systems; safety control theory for robots.
An Introduction to Machine Learning
Feedback Control Theory
IEEE TIM Outstanding Reviewers of 2025
2026
[50] Lin Z, Lu P, Tang C, Chen G*. Modular Safe Reinforcement Learning for Uncertain Nonlinear Systems via ICL CLF-HOCBF Filters and Adaptive Barrier Tuning[J]. IEEE Transactions on Industrial Electronics, 2026.
[49] 劳振鹏,陈刚*,李魏华. 基于物理-因果协同解耦网络的滚动轴承零样本复合故障诊断方法. 机械工程学报 2026.
[48] Chen G*, Wei P. Certified supervisory recovery and scheduling for automated manufacturing systems under diagnosis delay[J]. ISA Transactions, 2026.
[47] Lao Z, Chen G*, Yi Y, Jin Z. Speed-informed multi-resonance fault-order extraction with verifiable interpretability[J]. Mechanical Systems and Signal Processing, 2026, 259: 114844.
[46] Wang C, Yang L, Lin Z, Chen G*, Cheng J, Pang J. Cognition-inspired Robot Learning and Manipulation for Assembly in Semi-structured Environments[J]. Autonomous Robots, 2026, 50(3): 33.
[45] Zhang Y, Yuan J, Lao Z, Chen G*. Interpretable measurement signal conditioning for variable-speed rotating machinery via order tracking and deep unrolling[J]. Measurement Science and Technology, 2026, 37(29): 296109.
[44] Cen W, Yang L, Su C, Chen G*, Xie L. Enhancing neural network explainability via event causal graphs for bottleneck prediction in production systems[J]. Applied Soft Computing, 2026, 202: 115795.
[43] Tang C, Lu P, Lao Z, Chen G*. High-Order CBF-Compatible Semantics and Hierarchical Synthesis for Bounded-Time STL[J]. IEEE Control Systems Letters, 2026, 10: 547-552.
[42] Lao Z, Chen G*, Zhang Y, Lu P, Jin Z. An interpretable causal invariant graph neural network for unseen domain gear fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2026, 170: 114227.
[41] Dai C, He D, Jin Z, Zhang X, Chen G, Wu J, Zhao J, Xu Y. Digital twin-assisted graph contrastive domain adaptation for small-sample bearing fault diagnosis[J]. Structural Health Monitoring, 2026.
[40] Zhang C, Du J, Xu B, Chang Z, Chen G, Zhou Y. Automated High-Precision Control of Twisted and Coiled Polymers Under Parameter Variability[J]. IEEE Robotics and Automation Letters, 2026, 11(3): 3629-3636.
[39]Zhu H, Chen G*, Lao Z, Yuan J, Sun L, Zhang Y, Zhang Y. F-DiffWave: a fault-aware wavelet-structured diffusion framework for robust fault diagnosis under variable operating conditions[J]. Measurement Science and Technology, 2026, 37(5): 056109.
[38] Cen W, Su C, Chen G*, Xie L. Event driven causal knowledge graphs for bottleneck root cause analysis in manufacturing systems[J]. Expert Systems with Applications, 2026, 296: 129117.
[37] Lu P, Chen G*, Wei P, Su R. Collaborative Design of Fault Diagnosis and Fault Tolerance Control Under Nested Signal Temporal Logic Specifications[J]. IEEE Transactions on Automation Science and Engineering, 2026, 23: 2162-2175.
[36] Lu P, Lao Z, Zhang J, Wei P, Chen G*. Optimization-Free Safety and Task Execution for High-Order Multi-Agent Systems via STL-Guided Auxiliary Reference Governor[J]. International Journal of Robust and Nonlinear Control, 2026.
[35] Zhang Y, Chen G*, Lao Z, Yuan J, Zhu H. WPANet: A physically consistent and interpretable framework for fault diagnosis via wavelet prior-guided algorithm unrolling[J]. Neurocomputing, 2026, 666: 132275.
2025
[34] Cen W, Su C, Cen K, Yang L, Chen G*, Xie L. A dual spatial temporal neural network for bottleneck prediction in manufacturing systems[J]. Engineering Applications of Artificial Intelligence, 2025, 159: 111586.
[33] Li D, Lao Z, Lu P, Chen G*. Instantaneous frequency extraction of overlapped multicomponent signals with an adaptive constraints approach[J]. Engineering Research Express, 2025, 7(3): 035557.
[32] Zhang J, Lu P, Chen G*. Decomposition-Based MPC for Uncertain Systems With Nested Signal Temporal Logic Specifications[J]. IEEE Control Systems Letters, 2025, 9: 2103-2108.
[31] Chen G*, Dong G. Temporal logic inference for interpretable fault diagnosis of bearings via sparse and structured neural attention[J]. ISA Transactions, 2025, 158: 256-271.
[30] Zhang Y, Fang C, Zhang J, Chen G, Chen Z, Du H, Cheng L, Wang D. Multi-source data fusion monitoring system for super-elevation in laser powder bed fusion based on bi-stream cross-mode fusion network[J]. Optics and Lasers in Engineering, 2025, 186: 108794.
[29] Lu P, Li C, Chen G*. Fault tracing in multistage gearbox systems based on an improved transfer path analysis method[J]. Measurement, 2025, 242: 115992.
[28] Zhang Y, Du H, Zhao K, Gao J, Peng X, Cheng L, Fang C, Chen G*. In-situ quality inspection based on coaxial melt pool images for laser powder bed fusion with depth graph network guided by prior knowledge[J]. Mechanical Systems and Signal Processing, 2025, 224: 111993.
2024
[27] Li C, Lu P, Chen G*. VNCCD: A gearbox fault diagnosis technique under nonstationary conditions via virtual decoupled transfer path[J]. Mechanical Systems and Signal Processing, 2024, 221: 111741.
[26] Chen G*, Yuan J, Zhang Y, Zhu H, Huang R, Wang F, Li W. Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery[J]. IEEE Access, 2024, 12: 103348-103379.
[25] Su C, Zhang C, Wang C, Cen W, Chen G*, Xie L. Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning[J]. Swarm and Evolutionary Computation, 2024, 88: 101605.
[24] Li C, Lu P, Dong G, Chen G*. Bearing Fault Diagnosis via Robust PCA With Nonconvex Rank Approximation[J]. IEEE Sensors Journal, 2024, 24(12): 19531-19542.
[23] Wang C, Su C, Sun B, Chen G*, Xie L. Extended residual learning with one-shot imitation learning for robotic assembly in semi-structured environment[J]. Frontiers in Neurorobotics, 2024, 18: 1355170.
[22] Xiao P, Wang C, Lin Z, Hao Y, Chen G*, Xie L. Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly[J]. Knowledge-Based Systems, 2024, 294: 111792.
[21] Wang C, Lin Z, Liu B, Su C, Chen G*, Xie L. Task attention-based multimodal fusion and curriculum residual learning for context generalization in robotic assembly[J]. Applied Intelligence, 2024, 54(6): 4713-4735.
[20] Tian R, Cui M, Chen G*. A Neural-Symbolic Network for Interpretable Fault Diagnosis of Rolling Element Bearings Based on Temporal Logic[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 3515614.
[19] Chen G*, Kong Z, Xie L. Control/physical systems co-design with spectral temporal logic specifications and its applications to MEMS[J]. International Journal of Control, 2024, 97(12): 2935-2950.
2023
[18] Su C, Zhang C, Xia D, Han B, Wang C, Chen G*, Xie L. Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem[J]. Applied Soft Computing, 2023, 145: 110596.
2022
[17] Chen G*. Timed failure propagation graph construction with supremal language guided Tree-LSTM and its application to interpretable fault diagnosis[J]. Applied Intelligence, 2022, 52(11): 12990-13005.
[16] Chen G*, Lu Y, Su R. Interpretable fault diagnosis with shapelet temporal logic: Theory and application[J]. Automatica, 2022, 142: 110350.
[15] Liu M, Lin H, Wang Y, Chen G*. Negative imaginariness and positive realness analysis of state-space symmetric systems with interval uncertainty[J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2022, 236(4): 792-799.
[14] Chen G*, Wei P, Liu M. Temporal Logic Inference for Fault Detection of Switched Systems With Gaussian Process Dynamics[J]. IEEE Transactions on Automation Science and Engineering, 2022, 19(3): 2187-2202.
[13] Chen G*, Wei P, Jiang H, Liu M. Formal Language Generation for Fault Diagnosis With Spectral Logic via Adversarial Training[J]. IEEE Transactions on Industrial Informatics, 2022, 18(1): 119-129.
2021
[12] Chen G*, Lin X, Kong Z. Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis[J]. IEEE Control Systems Letters, 2021, 5(3): 1049-1054.
[11] Chen G*, Liu M, Kong Z. Temporal-Logic-Based Semantic Fault Diagnosis With Time-Series Data From Industrial Internet of Things[J]. IEEE Transactions on Industrial Electronics, 2021, 68(5): 4393-4403.
2020
[10] Chen G*, Liu M, Chen J. Frequency-temporal-logic-based bearing fault diagnosis and fault interpretation using Bayesian optimization with Bayesian neural networks[J]. Mechanical Systems and Signal Processing, 2020, 145: 106951.
[9] Liu M, Jing X, Chen G*. Necessary and sufficient conditions for lossless negative imaginary systems[J]. Journal of the Franklin Institute, 2020, 357(4): 2330-2353.
2019
[8] Teske A L, Chen G, Nansen C, Kong Z. Optimised dispensing of predatory mites by multirotor UAVs in wind: A distribution pattern modelling approach for precision pest management[J]. Biosystems Engineering, 2019, 187: 226-238.
2018
[7] Chen G*, Sabato Z, Kong Z. Formal interpretation of cyber-physical system performance with temporal logic[J]. Cyber-Physical Systems, 2018, 4(3): 175-203.
2015
[6] Chen G*, Chen J. A novel wrapper method for feature selection and its applications[J]. Neurocomputing, 2015, 159: 219-226.
[5] Jiang H, Chen J, Dong G, Liu T, Chen G. Study on Hankel matrix-based SVD and its application in rolling element bearing fault diagnosis[J]. Mechanical Systems and Signal Processing, 2015, 52-53: 338-359.
[4] Chen G*, Chen J, Dong G, Jiang H. An adaptive non-parametric short-time Fourier transform: application to echolocation[J]. Applied Acoustics, 2015, 87: 131-141.
[3] Chen G*, Zhang B, Liu P, Ding H. An Adaptive Analog Circuit for LVDT's Nanometer Measurement Without Losing Sensitivity and Range[J]. IEEE Sensors Journal, 2015, 15(4): 2248-2254.
2013
[2] Chen G*, Chen J, Dong G M. Chirplet Wigner-Ville distribution for time-frequency representation and its application[J]. Mechanical Systems and Signal Processing, 2013, 41(1-2): 1-13.
[1] 陈刚, 张波, 刘品宽. 基于LVDT的纳米级位移测量系统设计与实现[J]. 自动化与仪表, 2012, 27(12): 1-4.