职称 ：副教授 、硕导
邮箱: c.huang@ntu.edu.cn
博士（后），副教授，硕士生导师，兼任南京大学海安高新技术研究院副研究员，南通明诺电动技术有限公司技术总监，东华大学数字化纺织服装技术教育部工程研究中心博士毕业，米兰理工大学联合培养博士（导师：沈波教授；国外导师：Hamid Reza Karimi教授），南通市海门区科技局顾问专家，主要从事多智能体系统，智能控制算法及网络化系统研究，在国内外期刊和重要会议上发表论文40余篇，出版Elsevier英文学术专著一部，以第一作者/通信身份发表国际SCI期刊论文30余篇(包含IEEE/IFAC汇刊15篇)。主持国家自然科学基金，江苏省自然科学基金等纵向课题6项，参与包括国家自然科学基金优秀青年基金等国家级项目/人才计划7项。获得多项最佳论文奖，最佳引用论文奖。担任信息与控制青年专家顾问团成员、Chain、Intelligence & Robotics (ESCI)、Digital Transportation and Safety (ECSI) 等8个国际期刊编委、青年编委，担任多个国际会议程序委员会委员及分会主席，担任包括IEEE-TCYB, IEEE-TNNLS, IEEE-TITS, IEEE/CAA JAS等50余本国际期刊审稿人。
研究方向：多智能体系统，智能控制算法，网络化系统
科研项目：主持国家自然科学基金项目，江苏省自然科学基金青年项目，江苏省高等学校自然科学研究面上项目，南通市自然科学基金青年项目，省重点实验室开放课题、永利23411集团高层次人才引进项目等6项，参与包括国家自然科学基金优秀青年项目，面上项目，国防重点项目课题等在内的国家级项目/人才计划7项。
学术专著：
Cong Huang, Peng Mei and Hamid Reza Karimi, Event-Driven State Estimation for Stochastic Networked Systems, Elsevier, 2025. (ISBN: 978-0-443-45014-3)
论文发表：
[1]Cong Huang, Li Zhu, Weiping Ding, ling Liu and Shichun Yang, Buffer-Aided-Based resilient state estimation for mobile robot localization with state saturation: a probabilistic-encoding case, IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2025.357 5813, Early Access, 2025. （中科院一区）
[2]Cong Huang, Li Zhu, Weiping Ding, Ke Gu, Peng Mei and Shichun Yang, Encoding-decoding-based recursive state estimation for mobile robot localization: A multiple description case, IEEE-ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2025.3529077, 2025.（中科院一区）
[3]Cong Huang, Quan Shi, Weiping Ding, Edmond Q. Wu and Peng Mei, A multi-rate-fused state-of-charge estimation scheme of Lithium-ion batteries for electric vehicles with energy harvesting sensors, IEEE Transactions on Instrumentation and Measurement, vol. 74, 2025. （中科院二区）
[4]Cong Huang, Li Zhu, Weiping Ding Peng Mei, Shichun Yang and Quan Shi, An encoding-decoding-based state estimation scheme for state-saturated systems under buffer-aided mechanism, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 72, no. 8, pp. 1043--1047, 2025. （中科院二区）
[5]Cong Huang, Li Zhu, Peng Mei, Serdar Coskun and Shichun Yang, Distributed state estimation over wireless sensor networks against deception attacks: A buffer-aided strategy, IEEE Transactions on Consumer Electronics, vol. 71, no. 3, pp. 8553--8561, 2025. （中科院一区）
[6]Cong Huang, Serdar Coskun, Jun Wang, Peng Mei and Quan Shi, Robust $H_{\infty}$ dynamic output-feedback for CACC with ROSSs subject to randomly occurring deception attacks, IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 137--147, 2022. （中科院二区）
[7]Cong Huang, Yinbo Gu, Dezong Zhao, Zhiquan Liu and Quan Shi, Co-Design of bandwidth-awareness scheduling protocol and vehicular platoon control subject to DoS attacks over VANETs, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2026.3673102, 2026.
[8]Li Zhu, Cong Huang*, Quan Shi, Peng Mei, and Shichun Yang, Resilient distributed state estimation for smart grids against deception attacks: An encoding-decoding-based approach, IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2025.3632811, 2025. （中科院一区）
[9]Cong Huang, Li Zhu, Ruifeng Gao, Shichun Yang and Peng Mei, An encoding-decoding-based state estimation scheme with time-correlated fading channels, IEEE Signal Processing Letters, vol. 32, pp. 3525--3529, 2025. （中科院二区）
[10]Ruifeng Gao, Qingchi Qi, Peng Mei and Cong Huang*, A Joint State and Fault Fusion Estimation Scheme for Mobile Robot Localization With Energy Harvesting Sensors, Chain, 2025.
[11]Cong Huang, Taixian Zhao, Peng Mei, Daoguang Yang and Quan Shi, Dynamic event-triggering joint state and unknown input estimation for nonlinear systems with random sensor failure, IEEE Sensors Journal, vol. 23, no. 23, pp. 29415--29424, 2023. （中科院二区）
[12]Cong Huang, Quan Shi, Weiping Ding, Peng Mei and Hamid Reza Karimi, A robust MPC approach for platooning control of automated vehicles with constraints on acceleration, Control Engineering Practical, vol. 139, Art. No. 105648, 2023. （中科院二区）
[13]Cong Huang, Serdar Coskun, Hamid Reza Karimi and Weiping Ding, A distributed state and fault estimation scheme for state-saturated systems with quantized measurements over sensor networks, Information Fusion, vol. 110, Art. No. 102452, 2024. （中科院一区）
[14]Cong Huang, Weiping Ding, Ruifeng Gao, Peng Mei and Hamid Reza Karimi, Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol, Information Fusion, vol. 95, pp. 293--305, 2023. （中科院一区）
[15]Cong Huang, Hamid Reza Karimi, Peng Mei, Daoguang Yang and Quan Shi, Evolving long short-term memory neural network for wind speed forecasting, Information Sciences, vol. 632, pp. 390--410, 2023. （中科院一区）
[16]Cong Huang, Serdar Coskun, Xin Zhang and Peng Mei, State and fault estimation for nonlinear systems subject to censored measurements: a dynamic event-triggered case, International Journal of Robust and Nonlinear Control, vol. 32, no. 8, pp. 4946--4965, 2022. （中科院二区）
[17]Cong Huang and Bo Shen, Event-based fusion estimation for multi-rate systems subject to sensor degradations, Journal of The Franklin Institute-Engineering and Applied Mathematics, vol. 358, pp. 8754--8771, 2021. （中科院二区）
[18]Cong Huang, Bo Shen, Hongwei Chen and Huisheng Shu, A dynamically event-triggered approach to recursive filtering with censored measurements and parameter uncertainties, Journal of The Franklin Institute-Engineering and Applied Mathematics, vol. 356, pp. 8870--8889, 2019. （中科院二区）
[19]Cong Huang, Peng Mei, Weiping Ding, Quan Shi and Qiang Wu, State-saturated resilient filtering for nonlinear complex networks under event-triggering protocol, Asian Journal of Control, vol. 25, no. 2, pp.1216--1231, 2023. （中科院三区）
[20]Cong Huang, Peng Mei and Jun Wang, Event-triggering robust fusion estimation for a class of multi-rate systems subject to censored observations, ISA Transactions, vol. 110, pp. 38--28, 2021. （中科院二区）
教学方面：主讲车联网技术（本科生）、信号分析与处理（本科生）、车路协同系统（研究生）。近2年指导本科生老员工创新项目国家级立项1项，指导以本科生发表SCI论文多篇（包含IEEE-TII, IEEE SPL等权威期刊），指导的本科生获得2024江苏省优秀本科毕业设计。指导的研究生获得多次全国研究生数学建模二等奖，发表多篇行业权威期刊。指导的本科生研究生获得多项学科竞赛奖励包括美国数学建模H奖，全国研究生数学建模二等奖等。
每年计划招收人工智能/自动化方向硕士研究生2名，主要从事智能控制算法、多智能体系统等方向的研究工作。课题组与国内外多所知名高校保持良好合作关系，优秀者可推荐继续深造或交流学习。课题组氛围轻松，定期组织团建和聚餐。
联系方式：c.huang@ntu.edu.cn