一、基本信息
1.工学博士，副教授，硕士生导师
2.研究方向：网络安全，网络化系统控制，智能无人系统
3.电子邮箱：gaoxiaobin@gzhu.edu.cn
二、个人简介
华南理工大学博士。主持纵向科研项目5项，以第一作者或通讯作者发表SCI论文20余篇。担任Franklin Open、Journal of Applied Mathematics、广州大学学报（自然科学版）等多个学术期刊编委/青年编委/客座编辑，中国仿真学会不确定性系统分析与仿真专委会委员。曾获中国自动化学会优秀博士学位论文二等奖，入选广东省科协青年科技人才培育计划。
研究方向为系统控制与滤波、车辆编队控制、数据隐私与安全分析、多源信息融合等。欢迎对上述方向感兴趣的同学加入课题组学习，特别欢迎有继续深造意向的同学，来信请附上简历及相关佐证材料。
三、科研项目
1.国家自然科学基金青年科学基金项目（C类），2025.01—2027.12，主持；
2.广东省科协青年科技人才培育项目，2026.06—2028.05，主持；
3.广东省自然科学基金面上项目，2025.01—2027.12，主持；
4.广东省区域联合基金青年基金项目，2023.11—2026.10，主持；
5.广州市基础研究计划青年博士启航项目，2025.01—2026.12，主持。
四、学术论文
1.Xiaobin Gao, Feiqi Deng*, Pengyu Zeng, Hongyang Zhang. Adaptive neural event-triggered control of networked Markov jump systems under hybrid cyberattacks. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(3): 1502-1512.
2.Xiaobin Gao, Feiqi Deng*, Chun-Yi Su, Pengyu Zeng. Protocol-based fuzzy control of networked systems under joint deception attacks. IEEE Transactions on Fuzzy Systems, 2023, 31(3): 1052-1063.
3.Xiaobin Gao, Feiqi Deng*, Hongyang Zhang, Pengyu Zeng. Adaptive neural state estimation of Markov jump systems under scheduling protocols and probabilistic deception attacks. IEEE Transactions on Cybernetics, 2023, 53(3): 1830-1842.
4.Xiaobin Gao, Feiqi Deng*, Pengyu Zeng, Xiaohua Liu. Protocol-based stability analysis of stochastic hybrid systems under DoS attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(10): 6348-6358.
5.Xiaobin Gao, Feiqi Deng∗, Xueyan Zhao, Pengyu Zeng, Lixue Wang. State estimation of Markov jump neural networks with sensor resolution and innovation saturation: A binary-encoding scheme. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026, 56(7): 4358-4369.
6.Xiaobin Gao, Feiqi Deng*, Pengyu Zeng. Event-based model-free adaptive control of networked Markov jump systems against FDI attacks: A zero-sum game approach. IEEE Transactions on Control of Network Systems, 2026, 13(1): 349-359.
7.Xiaobin Gao, Quewen Qin, Yabo Mo, Feiqi Deng, Yun Liu*. Reliable state estimation over energy harvesting decode-and-forward relay networks: Dealing with successive DoS attacks. IEEE Transactions on Instrumentation and Measurement, DOI: 10.1109/TIM.2026.3729039.
8.Lixue Wang, Haotian Shi, Pengyu Zeng, Xiaobin Gao*. Neural learning control for state constrained strict-feedback systems: A state predictor method. IEEE Transactions on Automation Science and Engineering, 2026, 23: 14688- 14700.
9.Yun Liu, Wen Yang, Feiqi Deng, Xueyan Zhao, Xiaobin Gao*. Secure sate estimation of CPSs via decode-and-forward relays against consecutive DoS attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2026.3703410.
10.Quewen Qin, Yabo Mo, Yun Liu, Feiqi Deng, Lixue Wang, Xiaobin Gao*. Control of cyber-physical systems under consecutive packet dropouts: A dual-channel relay scheme with energy harvesting. IEEE Internet of Things Journal, 2026, 13(10): 21470-21482.
五、获奖情况
1.中国自动化学会优秀博士学位论文二等奖（2025年）；
2.何镜堂科技创新奖（2022年）；
3.博士生国家奖学金（2021年，2022年）；
4.硕士生国家奖学金（2018年）；
5.全国大学生电子设计竞赛广东赛区二等奖，指导教师（2026年）。
