个人简介

彭超，博士，硕士生导师，博士毕业于厦门大学电路与系统专业，集成电路学院（国际微电子学院）电子系专任教师。目前主讲研究生课程《机器学习与深度学习理论》，本科课程《微机原理与单片机技术》（国家一流课程），《智能化仪器仪表》等。主要从事人工智能与深度学习、嵌入式系统设计和水声微弱信号检测与识别等研究。主持省市级科研项目3项，校企合作项目2项，共发表18篇论文，其中2篇SCI，10篇EI，共获得授权专利12项，软件著作权1项。

教育背景

2003.09－2007.07 吉林大学，电子信息工程，本科

2007.09－2009.06 吉林大学，电路与系统专业，硕士

2010.09－2016.06 厦门大学，电路与系统专业，博士

工作经历

2013.06－至今 东莞理工学院集成电路学院（国际微电子学院）、讲师。

科学研究

（1）承担的研究项目

1．水下航体特征信号检测与识别的关键技术研究，2019年东莞市社会科技发展（一般）项目，2019-2021，主持；

2．智能传感器监控节点研究，2023年东莞市科技特派员项目，2023-2024，10万元，主持。

（2）发表的学术论文和著作

1. C. Peng, "Application of Multi-node Intelligent Monitoring System in Concrete Construction," 2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, 2024, pp. 777-782, doi: 10.1109/IAEAC59436.2024.10503711.

2. C. Peng, "A Review of Spectral Estimation in Underwater Acoustic Signal Processing," 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Chongqing, China, 2022, pp. 210-217. doi: 10.1109/IMCEC55388.2022.10019921.

3. Liu C, Peng C, Tang X, Liu X. Two variants of the IIR spline adaptive filter for combating impulsive noise[J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2019(8):.doi: 10.1186/s13634-019-0605-9.

4. Zhang G, Zhu J, Song Y, Peng C, Song G. A Time Reversal Based Pipeline Leakage Localization Method with the Adjustable Resolution[J]. IEEE ACCESS, 2018,6:26993-27000.

5. Chao, P., H.X. Sun and E. Cheng, Detection of Weak Audio Signal in Ocean Based on Stochastic Resonance. Open Automation & Control Systems Journal, 2015. 7(1): p. 1185-1190.

6. Peng, C., et al., Detection of multi-frequency weak signal based on stochastic resonance. Metallurgical and Mining Industry, 2015. 7(9): p. 871-877.

7. Peng, C., H. Sun and E. Cheng, Radiated noise measurement of ships based on stochastic resonance. Open Mechanical Engineering Journal, 2015. 9(1): p. 927-932.

8. C. Peng, L. Yang, X. Jiang, Y. Song and S. Zou, A Simple Ship Radiated Noise Model and Its Application in Weak Signal Detection Based on Higher Order Cumulant, 2019 Ninth International Workshop on Signal Design and its Applications in Communications (IWSDA), Dongguan, China, 2019, pp. 1-5. doi: 10.1109/IWSDA46143.2019.8966092.

9. C. Peng, L. Yang, X. Jiang and Y. Song, Design of a Ship Radiated Noise Model and Its Application to Feature Extraction Based on Winger’s Higher-order Spectrum, 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chengdu, China, 2019, pp. 582-587. doi: 10.1109/IAEAC47372.2019.8997718.

10. 10. C. Peng, Y. Song, L. Yang and S. Hu, Method of Chaos Judgment for Ship Radiated Characteristic Signal and Its Application, 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chongqing, China, 2020, pp. 596-601. doi: 10.1109/ITNEC48623.2020.9085015.

11. Peng C, Song Y, Zhang G M, Feng J C, Zou S. Design of a Novel Inductive Non-Metallic Ultrasonic Emitting System[C], 2018 4th International Conference on Systems, Computing, and Big Data (ICSCBD 2018), Guangzhou, China, 2018, pp. 202-212.

12. Peng C, Song Y, Zhang G M, Huang M Q, Zou S. A Novel Non-Metallic Ultrasonic Flaw Detection Launch System and Its Parameter Analysis[C], 2018 4th International Conference on Systems, Computing, and Big Data (ICSCBD 2018), Guangzhou, China, 2018, pp. 183-191.

13. Chao P, Yue S, Leshuang Z, Sha Z. Design of a new type of fly-back nonmetal ultrasonic generating circuit[C], 2018 3rd International Symposium on Electronics, Electrical Engineering, Manufacturing and Systems (EEEMS 2018), Guilin, China, 2018, pp. 26-30.

14. Chao P, Zhihao C, Chang L, Yue S, Sha Z. Design of a new type of non-metal ultrasonic receiving system[C], 2018 3rd International Symposium on Electronics, Electrical Engineering, Manufacturing and Systems (EEEMS 2018), Guilin, China, 2018, pp. 325-332.

15. Chao P, Chang L, Yue S, Sha Z. Design of a Dual Core Processing System for Ultrasound Digital Signal Based on FPGA and STM32[C], 2019 7th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2019), Chongqing, China, 2019, pp. 725-731.

16. Chao P, Weiheng H, Yue S, Sha Z. Design of a Novel Dual-core Ultrasonic Nondestructive Testing System Based on ARM and FPGA[C], 2019 7th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2019), Chongqing, China, 2019, pp. 732-739.

17. C. Peng, Y. Song and L. Yang, "Detection of Weak Ship Radiation Characteristic Signal based on Wavelet and Chaos Array," 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), 2022, pp. 139-150. doi: 10.1109/ITOEC53115.2022.9734681.

（3）专利情况

1. 彭超，严红光，张光旻，一种新型三维仿生水听器阵列，实用新型，专利号：ZL202120805612.3，已授权，授权时间：2021.10.15

2. 彭超，严红光，张光旻，一种新型仿生矢量水听器，实用新型，专利号：ZL202120804968.5，已授权，授权时间：2021.10.15

3. 彭超，严红光，一种新型水声实验航行器，实用新型，专利号：ZL202021459104.6，已授权，授权时间：2020.07.22

4. 彭超，严红光，一种新型仿生水听器阵列，实用新型，专利号：ZL202021323735.5，已授权，授权时间：2020.07.08

5. 彭超，张光旻，唐善荣，一种新型压电智能骨料传感器封装结构，实用新型，专利号：ZL201820607971.6，已授权，授权时间：2018.11.30

6. 彭超，邹莎，宋跃，一种新型非金属超声波探伤设备，实用新型，专利号：ZL201820650340.2，已授权，授权时间：2018.11.06

7. 彭超，张光旻，刘畅，一种复合型超声波探伤实验装置，实用新型，专利号：ZL201820650324.3，已授权，授权时间：2018.11.06

8. 彭超，宋钢兵，严红光，一种新型超声波安全监测实验设备，实用新型，专利号：ZL201820650090.2，已授权，授权时间：2018.11.06

9. 彭超，刘畅，邹莎，一种新型超声波雾化器，实用新型，专利号：ZL201820608478.6，已授权，授权时间：2018.06.11

10. 彭超，张光旻，严红光，一种新型超声波牙齿清洗器，实用新型，专利号：ZL201820608476.7，已授权，授权时间：2018.05.21

11. 彭超，冯进聪，韦华强，一种拍匀耦合剂的设备，实用新型，专利号：ZL201720782257.6，已授权，授权时间：2018.01.02

教学工作

（1）主讲课程

微机原理与单片机技术

智能化仪器仪表

Python语言及开发应用

机器学习与深度学习理论

（2）承担的教研项目

1. 院级核心课程《微机原理与单片机技术》教学改革与实践，东莞理工学院质量工程项目，2019.5-2021.4

2. 智能化仪器仪表，东莞理工学院质量工程项目，2020.4-2023.3

获奖与荣誉

教学奖励

1. 微机原理与单片机技术，国家级一流本科课程，教育部，2020.11，排名4

2. 广东省本科高校在线教学优秀案例第二批，二等奖，2020.4，排名3

指导技能大赛奖励

1. 指导学生参加2025年第十六届蓝桥杯一等奖2个，二等奖1个，三等奖4个，优秀奖1个;

2. 指导学生参加2024年第十五届蓝桥杯二等奖1个，三等奖5个;

3. 指导学生参加2023年第十四届蓝桥杯三等奖1个;

4. 指导学生参加2018年广东省大学生电子设计竞赛-“人工智能”专题竞赛一等奖1个;

5. 指导学生参加2017年全国大学生电子设计竞赛广东省赛区（本科）三等奖1个。