工作经历：
讲师11/2023--至今 东莞理工学院，计算机科学与技术
博士后07/2021--11/2023 上海交通大学，控制科学与工程
教育经历：
博士 09/2018--06/2021 广东工业大学，控制科学与工程
硕士09/2016--06/2018 广东工业大学，控制科学与工程
本科09/2011--06/2015 广东石油化工学院，电气工程及其自动化
研究方向：
人工智能、多智能体系统、协同控制、滑模控制、事件驱动控制、编队控制、故障诊断。
课程教学：
人工智能
主持/参与的项目：
宁波市自然科学基金项目（一般项目），基于神经网络的血液透析智慧诊疗研究，2022.09.01-2024.09.01，在研，主持；国家自然科学基金面上项目，基于卷积神经网络口腔肿瘤智能诊断的研究及其应用，2023.01-2026.12，在研，参与；国家自然科学基金联合基金项目，无人系统智能化控制与应用，2023.01-2026.12，在研，参与；国家重点研发计划项目，多机器人协同全域感知与智能决策，2023.01-2025.12，在研，参与。
理论成果：
发表SCI期刊论文30余篇，申请发明专利10余项。
发表/录用的学术论文：
[1]Xiang Liu, Shenghuang He*, Yuanqing Wu, Distributed dynamic event-triggered leader-following consensus for nonlinear multiagent systems over fading channel. IEEE Transactions on Cybernetics, 2023, DOI: 10.1109/TCYB.2023.3307148.
[2]Shenghuang He, Yanzhou Li*, Yongkang Lu, Yishan Liu. Design of visual inertial state estimator for autonomous systems via multi-sensor fusion approach. Mechatronics, 2023, 95:103066.
[3]Shenghuang He, Yishan Liu, Yuanqing Wu*, Yanzhou Li. Integral sliding mode consensus of networked control systems with bounded disturbances. ISA Transactions, 2022, 124: 349-355.
[4]Shenghuang He, Yong Xu, Yuanqing Wu*, Yanzhou Li, Wenjian Zhong. Adaptive consensus tracking of multi-robotic systems via using integral sliding mode control. Neurocomputing, 2021, 455: 154-162.
[5]Shenghuang He, Yuanqing Wu*, Yanzhou Li, Finite-time synchronization of input delay complex networks via non-fragile controller. Journal of the Franklin Institute, 2020, 357(16): 11645-11667.
[6]Shenghuang He, Yongkang Lu, Yuanqing Wu*, Yanzhou Li. Partial-information-based consensus of network systems with time-varying delay via sampled-data control. Signal Processing, 2019, 162: 97-105.
[7]Shenghuang He, Yuanqing Wu*, Yanzhou Li. Non-fragile sampled-data control of network systems subject to time-delay. International Journal of Systems Science, 2019, 50(4): 843-857.
[8]Shenghuang He, Yuanqing Wu*, Yanzhou Li, Asymptotic stability of master-slave systems using sampled-data controller with time-delay. International Journal of Control, Automation and Systems, 2019, 17(6): 1473-1482.
[9]Yanzhou Li, Yuanqing Wu*, Shenghuang He. Distributed consensus control for a group of autonomous marine vehicles with nonlinearity and external disturbances. Neurocomputing, 2021, 443(5): 380-387.
[10]Yuanqing Wu*, Yi Guang, Shenghuang He, Mali Xin. An industrial-based framework for distributed control of heterogeneous network systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(6): 2120–2128.
[11]Yuanqing Wu*, Yanzhou Li, Shenghuang He, Yi Guan. Sampled-data synchronization of heterogeneous network in industrial manufacture. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020, 50(9): 3210-3219.
[12]Yuanqing Wu, Renquan Lu*, Hongyi Li, Shenghuang He. Synchronization control for network systems with communication constraints. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(10): 3150-3160.
[13]Yuanqing Wu, Yongkang Lu, Shenghuang He, Renquan Lu*. Synchronization control for unreliable network systems in intelligent robots. IEEE/ASME Transactions on Mechatronics, 2019, 24(6): 2641-2651.
[14]Zhengyuan Liu, Yanzhou Li, Yuanqing Wu*, Shenghuang He. Formation control of nonholonomic unmanned ground vehicles via unscented Kalman filter-based sensor fusion approach. ISA Transactions, 2021, 125: 60-71.
[15]Canming Xia, Mali Xing*, Shenghuang He. Interactive planning for autonomous driving in intersection scenarios without traffic signs. IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (12): 24818-24828.
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