一、教育背景

2016.09－2022.06 中国地质大学(武汉)，控制科学与工程专业，博士毕业

2019.08－2020.02 英国南威尔士大学，电子与电气工程专业，公派留学

2011.09－2015.06 山东大学，测控技术与仪器专业，本科毕业

2012.09－2015.06 山东大学，工程管理专业，双学位

二、研究方向

主要从事采样控制，电力系统、时滞系统理论及人工智能应用等方面的研究。

三、工作经历

2022.06－至今 东莞理工学院电信工程与智能化学院，讲师

四、项目经历

基于Jacobi多项式的开放通信网络在环新能源PID型负荷频率控制: 输入时滞方法，国青年，主持/在研

五、教学工作

主要讲授的课程有：C++语言程序设计及应用、Java语言程序设计应用、人工智能、高级程序语言设计

六、科学研究

发表的学术论文和著作

1. Zhen-Man Gao, Yong He, Guo-Ping Liu. New results on stability and H∞ performance analysis for aperiodic sampled-data systems via augmented Lyapunov functional. ISA Transactions. 2022, 128(B): 309-315.

2. Zhen-Man Gao, Yong He, Guo-Ping Liu. Novel stability criteria for aperiodic sampled-data systems via a time-squared-dependent augmented functional. International Journal of Systems Science. 2021, 21(8): 1539-1550.

3. Zhen-Man Gao, Yong He, Min Wu. Improved stability criteria for the neural networks with time-varying delay via new augmented Lyapunov-Krasovskii functional. Applied Mathmatics and Computation. 2019, 349: 258-269.

4. Fei Long, Chuan-Ke Zhang, Yong He, Qing-Guo Wang, Zhen-Man Gao, Min Wu. Hierarchical passivity criterion for delayed neural networks via a general delay-product-type Lyapunov-Krasovskii functional. IEEE Transactions on Neural Networks and Learning Systems.

5. Zhenman Gao, Yong He. A new result on H∞ state estimation of delayed static neural networks via augmented Lyapunov-Krasovskii functional. Proceedings of the 37th Chinese Control Conference (CCC). 2018, 232-235.

6. Gao Zhenman, He Yong, Wu Min. New constructing method of Lyapunov-Krasovskii functionals for stability of time-varying delay systems. Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON). 2017, 5639-5643.

7. Zhenman Gao*, Xudong Chen; Jianyong Zhuang; Chunhui Huang; Zuxiang Xie; Xiaoyong He. Enhanced steel alloy identification using hybrid attention mechanism with femtosecond laser ablation-spark-induced breakdown spectroscopy. Engineering Applications of Artificial Intelligence , 2026. (Apr.):169.

8. Zhenman Gao, Jianyong Zhuang; Xiaoyong He*. FALCON-Net: A hybrid fuzzy-attentive LSTM-convolutional neural network architecture for high-precision classification of steel alloys via femtosecond laser-ablation spark-induced breakdown spectroscopy. Analytica Chimica Acta, 2025, 344701.

9. Xudong Chen, Zhenman Gao*, Fei Long, Weiwei Yang. New Results of augmented Lyapunov functionals in sampled-data synchronization control of chaotic neural networks. 2025 44th Chinese Control Conference (CCC), Chongqing, China, 2025, pp. 84-89.

10. Jianyong Zhuang, Zhenman Gao*, Fei Long, Xiaoyong He. A new result on H∞ state estimation related to time-delay static neural networks based on augmented double integral and product-type functionals. 2025 44th ChineseControl Conference (CCC), Chongqing, China, 2025, pp. 73-78.

11.  Xudong Chen;Jianyong Zhuang;Zhenman Gao*. Synchronization for chaotic neural networks based on sampled data: a novel neuroscience technology using time-squared augmented Lyapunov functional. Advanced Technology in Neuroscience, 2025, 02(04): 152-160.  

12. Xiaoyong He*;Chunhui Huang;Zhenman Gao*. Hybrid fuzzy-transformer-CNN network combined with fs-LA-SIBS for accurate classification of magnesium alloy components. Journal of Analytical Atomic Spectrometry, 2026, -(-): 0--.（录用）

七、指导研究生

电智学院硕士生导师，目前指导一名2025级研究生。

八、荣誉经历

1.大学生全国电子设计竞赛广东省分赛区(第一指导教师)，省二等奖(2024)、省三等奖(2025)

2.蓝桥杯大赛电子赛广东省赛(第一指导教师) ，省一等奖(2025)

3.东莞理工学院校级优秀班主任(2024)

4.东莞理工学院电信工程与智能化学院优秀教师(2024)

5.东莞理工学院电信工程与智能化学院评教优秀(2023,2024,2025)

6. 东莞理工学院本科生优秀毕业设计指导教师(2024)