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师资队伍

Faculty
师资队伍
  • |

    陈刚 Chen, Gang

    • 职称：副教授

    • 邮箱：gangchen@scut.edu.cn

    • 工作单位：吴贤铭智能工程学院

    • 邮政编码：510640

    • 毕业院校：加州大学戴维斯分校，机械与航天工程系

    • 办公室：D1-a508

    • 最后学位：工学博士

    • 办公电话：

    • 导师类别：硕、博导

个人简介  

陈刚，博士，华南理工大学吴贤铭智能工程学院副教授。2012年、2015年分别于上海交通大学获学士、硕士学位，2020年于加州大学戴维斯分校获博士学位。研究聚焦控制理论、形式化方法与机器学习交叉领域，围绕智能制造系统与智能机器人系统开展设计、仿真、验证、状态监测及智能控制等研究。以第一作者/通讯作者发表SCI论文40余篇，包含MSSP,TII,TIE, Automatica, 高被引论文等，主持和参与国家级、省部级及企业项目10余项（国基青年、广东省面上，国家重点研发，广东省重点研发项目等）。实验室主页：srislab.cn。

欢迎对控制、机械、机器人和智能制造系统研究充满热情的同学加入，在高水平科研实践中成长并产出有影响力的成果。

工作经历  

  • 2020-2021年  新加坡南洋理工电气与电子工程学院，博士后

  • 2021-至今，华南理工大学，吴贤铭智能工程学院，副教授

教育经历  

  • 2008-2012年 ，上海交通大学机械与动力工程学院 ，本科

  • 2012-2015年 ，上海交通大学机械与动力工程学院 ，硕士

  • 2015-2020年 ， 加州大学戴维斯分校机械与航天工程系 ， 博士

研究领域  

  • 信息物理系统设计、仿真与形式化验证； 复杂系统预测性维护；机器人安全控制理论。

科研项目  

主讲课程  

  • 机器学习简介

  • 现代控制理论

奖励奖项  

  • IEEE TIM “2025杰出审稿人”

代表论文  

2026年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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年

  • [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.

研究专利  

  • [1].莫锦秋,陈刚,王晓骎,金川,史敏,陈斌.钢珠分拣机器人[P] , 2015-05-20, 中国，CN103506325A.

  • [2].陈刚，曾子越，等.一种智能车间数据采集分析系统[P] . 202411439755.1, 中国发明专利。

  • [3].陈刚，曾子越，等. 一种智能车间数字孪生建模方法及其仿真系统[P] . 202411439754.7, 中国发明专利。