孔亚广 博士

浙江省自动化学会常务理事，杭州市仪器仪表学会理事，TC124/SC2标委会委员

主要研究领域为：智能感知、具身智能与自主系统协同等。近年来的主要兴趣为：面向复杂构件的深部三维残余应力（表面形貌）原位表征和精准调控；面向具身智能的智能传感器、灵巧手和精准操作；多无人机协同吊装及精准对位。

News:

课题组科研经费充裕，条件优厚，诚邀控制科学与工程、人工智能、智能科学与技术等专业的有研究潜力和热情的同学来课题组学习深造！热忱欢迎相关专业博士、博士后及其他科研人员加盟本课题组！

近5年纵向项目：

[1] 2025.01-2026.12，公共管网安全风险智能管控设备研发与产业化，浙江省科技计划项目（2025C02012)

[2] 2024.01-2027.12，面向集群协同的高品质轻量化隐私保护控制研究，国家自然科学基金（62476076）

[3] 2022.01-2024.12，多传感器融合平台关键技术研究与应用，浙江省科技计划项目（2022C01095)

[4] 2021.01-2024.11，智能成套专用装备研发及应用-新型硬脆材料精密加工智能装备研发与应用示范，浙江省重点研发项目（2021C01144）

[5] 2016.01-2018.12，基于全光纤气体传感网和智能大数据分析的移动污染源在线监测与超标排放快速识别系统研发，国家科技部国家重点研发计划专项项目(2016YFC0201400)

近5年横向项目：

[1].2025.01-2027.12，面向流程行业的智能感知技术与装置研发，企业委托

[2].2025.01-2025.12，光纤准直器自动对准耦合系统,企业委托

[3].2025.01-2025.12，柔性复合智能绿色应用基础技术与高端数控机床研发应用，企业委托

[4].2025.01-2025.12，汽车发动机缸孔的高精度智能多维超声镗削加工关键技术与专用装备研发及应用，企业委托

[5].2022.04-2024.03，医疗影像智能检测技术研发，企业委托

[6].2021.09-2023.09，适应于精益生产的智能电表箱技术研究及装置开发，企业委托

[7].2021.10-2023.06，基于多传感融合感知的10kV高压带电作业机器人装备研究，企业委托

[8].2020.11-2021.12，超声复合加工关键技术研发，企业委托

[9].2020.01-2020.12，复杂工艺过程的影子工厂搭建，企业委托

[10].2020.04-2021.12，基于非侵入式负荷监测的节能技术及装备研究，企业委托技

[11].2019.09-2022.06，超声波液体雾化喷涂技术研发，企业委托

[12].2019.11-2020.12，基于光纤微振动分布信号的振动源类型识别研究，企业委托

[13].2019.09-2020.09，基于云平台的超声波局放在线监测技术研究及装备研发，企业委托

[26]Rong Chen;Hong Chen;Wenyu Wang;Shuo Zhang;Yaguang Kong;Zhangping Chen;Instance segmentation and spatial positioning of waxberries in complex environments,Computers and Electronics in Agriculture,Volume 240, January 2026, 111183.

[25]Xiaoqing Zheng;Lixiang Zhou;Yaguang Kong;A unified open-world semi-supervised learning framework for industrial defect detection via contrastive embedding and dynamic attention,Engineering Applications of Artificial Intelligence,2025.

[24]Z Chen;H Chen;Q Wang;C Liu;H Zou;Y Kong;Matching Network Design and Parameter Optimization Method for Low-Frequency Active Sonar System.IEEE Transactions on Power Electronics,2025.

[23]Xiaoqing Zheng;Weijie Hong;Dengde Chen;Anke Xue;Yaguang Kong;MW-FixMatch:A class imbalance semi-supervised learning algorithm based on re-weighting, Neurocomputing,626(14):129385,2025.

[22]Chen,HH;Cheng,C;Hong,JK;Huang,MQ;Kong,YG*;Zheng,XQ;An on-machine tool wear area identification method based on image augmentation and advanced segmentation,Journal of Manufacturing Process,132:558-569,2024.

[21]Zheng,XQ;Wu,BF;Chen,HM;Xue,AK;Zheng,S;Ge,M;Kong,YG;A temporal convolution network-based just-in-time learning method for industrial quality variable prediction,Chemical Engineering Research & Design,212:168-184,2024. 

[20]Wu, SZ;Kong, YG;Xu, RD;Guo, YF; Chen, ZP; Zheng, XQ*;A feature space class balancing strategy-based fault classification method in solar photovoltaic modules, Engineering Applications of Artificial Intelligence,136:PartB,108991,2024. 

[19]Zheng,XQ;Zhao,YF;Peng,B;Ge,M;Kong,YG;Zheng,S;Information Filtering Unit-Based Long Short-Term Memory Network for Industrial Soft Sensor Modeling,IEEE Sensors Journal,24(8):13530-13544,2024. 

[18]Chen,HH;Hong,J;Cheng,C;Kong,YG*;Zheng,XQ;Zero-Shot Compound Fault Diagnosis Method Using Semantic Construction and Embedding,IEEE Transactions on Instrumentation and Measurement,73,2024. 

[17]Na Huang, Jiaqiang Zhuge, Zhiyong Sun, Di Huang, Yaguang Kong*, Qiang Lu.Dynamic Encirclement For Anonymous Agents With Arbitrary Formations[J].IEEE Transactions on Control of Network Systems,2024,DOI:10.1109/TCNS.2024.3354890.

[16]Honghuan Chen, Xin Dong, Yaguang Kong*, Zhangping Chen , Song Zheng, Xiaoping Hu , Xiaodong Zhao.Online Prediction of Mechanical and Electrical Quality in Ultrasonic Metal Welding Using Time Series Generation and Deep Learning[J].Engineering Failure Analysis,2024.

[15]Fuyue Ren,Wei Dong,Fan Zhang,Xiaodong Zhao,Yaguang Kong,Qiang Yang.Two-layer Coordinated Reinforcement Learning for Traffic Signal Control in Traffic Network[J].Expert Systems With Applications,2024,235. DOI:10.1016/j.eswa.2023.121111

[14]Zhangping Chen,Shuo Zhang, Xiaoqing Zheng,Xiaodong Zhao,Yaguang Kong*.Crowd Counting Based on Multiscale Spatial Guided Perception Aggregation Network[J].IEEE Transactions on Neural Networks and Learning Systems,2023,DOI:10.1109/TNNLS.2023.3304348

[13]Zhangping Chen,Jiangkun Hong,Xiaodong Zhao,Shixing Chen,Yaguang Kong*.A Contactless Energy Transfer System with High Misalignment Tolerance for Rotary Ultrasonic Machining[J].IEEE Transactions on Industrial Electronics,2023,DOI:10.1109/TIE.2023.3283683.

[12]Xichao Tang,Zhangping Chen,Xiaodong Zhao,Song Zheng,Yaguang Kong*.Design of Compensation Network and Parameter Optimization for Rotary Ultrasonic Machining under Varying Loads[J].IEEE Transactions on Power Electronics, 2023, 18(11). DOI:10.1109/TPEL.2023.3304362

[11]Jiazhe Fan, Na Huang, Di Huang, Yaguang Kong, Zhangping Chen, Fan Zhang, Yao Zhang.An Improved Path Planning Algorithm With Adaptive Parameters and Predictions[J].IEEE Systems Journal,2023,17(3).DOI:10.1109/JSYST.2023.3274187

[10]Zhangping Chen,Na Huang,Jian Zhang,Fan Zhang,Yaguang Kong,Qiang Lu. Sampling-Position-Based Event-Triggering Consensus of Nonlinear Second-Order Agents[J].IEEE Transactions on Circuits and Systems--II: Express Briefs,2023,70(3). DOI:10.1109/TCSII.2022.3217784.

[9]Yaguang Kong,Xinghong Zhao, Guoqiang Jia, Jiangkun Hong, and Fan Zhang.Sensor Deployment Optimization Methods in Electromagnetic Field Based on EEIF-PLI[J].IEEE Sensors Journal,2023,23(4).DOI:10.1109/JSEN.2022.3233361.

[8]Leitao Qu,Yaguang Kong,Meng Li,Wei Dong,Fan Zhang,Hongbo Zou. A residual convolutional neural network with multi-block for appliance recognition in non-intrusive load identification[J].Energy & Buildings,2023,281(15).DOI:10.1016/j.enbuild.2022.112749

[7] Fan Zhang; Leitao Qu; Wei Dong; Hongbo Zou; Qiang Guo; Yaguang Kong*.A Novel NILM Event Detection Algorithm Based on Different Frequency Scales[J]. IEEE Transactions on Instrumentation and Measurement,2022, 71:1-11. DOI: 10.1109/TIM.2022.3181897

[6] Zheng, X. ,Zheng, S. ,Kong, Y. , Chen, J. (2021). Recent advances in surface defect inspection of industrial products using deep learning techniques. The International Journal of Advanced Manufacturing Technology(6).

[5] Mengze Zhu, Yun Chen, Yaguang Kong, Cong Chen, Jianjun Bai. (2020). Distributed filtering for markov jump systems with randomly occurring one-sided lipschitz nonlinearities under round-robin scheduling. Neurocomputing, 417, 396-405.

[4] Zheng, X. ,Chen, J. ,Wang, H. ,Zheng, S. , Kong, Y. (2020). A deep learning-based approach for the automated surface inspection of copper clad laminate images. Applied Intelligence, 1-18.

[3] Jiang, P. , Men, J. K. , Xu, H. ,Zheng, S. , Kong,Y.G., Zhang, L. (2020). A variable neighborhood search-based hybrid multiobjective evolutionary algorithm for hazmat heterogeneous vehicle routing problem with time windows. IEEE Systems Journal, 14(3), 4344-4355.

[2] Men, J. ,Jiang, P. ,Xu, H. ,Zheng, S. , Kong Y.G.,Wu, F. . (2020). A robust multi-objective vehicle routing problem with time windows for hazardous materials transportation. IET Intelligent Transport Systems, 14(6).

[1] Men, J. ,Jiang, P. , Zheng, S. ,Kong, Y. ,Zheng, S. . (2019). A multi-objective emergency rescue facilities location model for catastrophic interlocking chemical accidents in chemical parks. IEEE Transactions on Intelligent Transportation Systems, PP(99), 1-13.

1.计算机控制系统（第2版），机械工业出版社，普通高等教育十二五规划教材，2018

2.过程控制，高等教育出版社，2013

3.自动化系统技术基础，机械工业出版社，ASEA培训与考试指定参考丛书，2013 

4.工业控制计算机系统及其应用，机械工业出版社，2008

教学科研奖励：

1.全过程实践、差异化赋能--服务区域经济的自动化专业实践创新体系探索与改革。浙江省教学成果奖，二等奖，4/10，2025.

2.“思、产、教、硏、创”五维一体的专业学位研究生培养模式，浙江省研究生教育学会教学成果奖，二等奖，2025.

3.用于强环境适应的二次供水自主可控全冗余控制系统。中国仪器仪表学会科技进步奖，二等奖，3/15，2023.

4.精密加工机床的超声关键部件检测与控制技术及产业化。中国自动化学会科学技术进步奖，二等奖，1/9,2022.

5.万吨级生物质气化关键技术、装备机器产业化。中国商业联合会科学技术奖，一等奖，4/15，2021.

6.开发大型现代煤化工教学工厂，创新高技能人才培养实践教学体系。国家教学成果奖，一等奖，6/7，2014.

7.全集成新一代主控系统。浙江省科学技术进步奖，一等奖，6/10，2005.

指导学生竞赛：

1.第十九届“挑战杯”竞赛2025年度中国青年科技创新“揭榜挂帅”擂台赛，国家一等奖，2025年。

2.第十九届“挑战杯”竞赛2025年度中国青年科技创新“揭榜挂帅”擂台赛，国家二等奖，2025年。

3.“兆易创新杯”第十九届中国研究生电子设计竞赛，国家一等奖，2024年。

4.“华为杯”第六届中国研究生人工智能创新大赛，国家二等奖，2024年。

5.“兆易创新杯”第十九届中国研究生电子设计竞赛，国家二等奖，2024年。

6.第十七届“挑战杯”全国大学生课外学术科技作品竟赛，国家二等奖，2022年。

7.第七届中国国际“互联网+”大学生创新创业大赛，国家银奖，2021年。