姓名：曹阳
职称：副研究员
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邮箱：caoyeacy@seu.edu.cn (WeChat: caoyeacy)
教育背景
2010-2014年，南京邮电大学 (NJUPT)，通信与信息工程学院，通信工程专业，本科（导师：周亮 [长江，IEEE Fellow]）；
2014-2019年，香港大学 (HKU)，工程学院机械工程系，控制工程专业硕博连读（导师：Prof. James Lam [欧洲科学院院士，长江，IEEE Fellow]、 Dr. Michael Z. Q. Chen [青千]）。
2010-2014 BEng in Communication Engineering, School of Communications and Information Engineering, Nanjing Univ. of Posts & Telecomm.
2014-2019 PhD in Control Engineering, Department of Mechanical Engineering, Faculty of Engineering, The Univ. of Hong Kong (HKU)
学术兼职
Information Sciences Letters、Complex Engineering Systems编委，多个国内外著名学术期刊和会议审稿人，入选科技部和江苏省专家库，中组部第九批援藏干部-西藏民族大学网安学科学术带头人，IEEE Member，ACM Member，SIAM Member，中国人工智能学会人工智能与安全专委会委员，中国指挥与控制学会网络科学与工程专委会委员，中国计算机学会网络弹性专委会委员，中国工业与应用数学学会数学生命科学专委会委员，中国电子学会网络空间安全专委会委员，江苏省网络空间安全学会会员，江苏省自动化学会青工委委员。
Serving as Editorial Board Member for Information Sciences Letters and Complex Engineering Systems, and holding memberships in IEEE, ACM, SIAM, and multiple technical committees of academic societies including artificial intelligence, command and control, computer science, industrial mathematics, and cybersecurity.
研究领域
群体智能决策与强化学习, 网络弹性优化与控制，无人系统安全，大数据因果推断与系统辨识，数学生命科学及密码学。
Research Interests: Swarm Intelligence and Reinforcement Learning, Network Resilient Control and Optimization, Security of Cyber-Physical Systems, Causal Inference and System Identification, Mathematical Life Sciences and Cryptography.
研究概况
现任东南大学网络空间安全学院智能安全系副研究员、博导，区块链应用与监管教育部工程研究中心委员，江苏省应用数学科学研究中心课题共同负责人，江苏省网络群体智能重点实验室（暨华为-东南大学网络群体智能联合创新实验室）成员，智能计算与安全研究所成员，在IEEE Transactions系列, Neural Networks等国际权威期刊发表论文30余篇，先后5篇论文入选ESI高被引论文，H指数22。
Currently working as an Associate Professor at the Intelligent Computing and Security Group of the School of Cyber Science and Engineering, Southeast University (SEU), Nanjing, China. Research has yielded over 30 research papers in various esteemed journals.
最近动态
研究课题
主持2项国家自然科学基金项目（面上项目、青年基金项目）、1项国家重点研发计划项目子课题、1项江苏省自然科学基金项目（青年基金）、1项南京市留学回国人员择优资助课题等，代表性课题和项目包括：
(1) 国家自然科学基金面上项目 （62573122）, 时空约束下复值耦合群智系统的协同弹性感控与博弈对抗决策, 主持；
(2) 国家自然科学基金青年科学基金项目 （62103103）, 基于强化学习的多智能体网络安全的博弈策略和弹性一致性研究, 主持；
(3) 科技部国家重点研发计划 （2020YFA0714304）, 服役性能指标海量数据高效处理与衰变临界状态判定, 子课题主持；
(4) 江苏省自然科学基金青年科学基金项目 （BK20210223）, 基于强化学习的多智能体博弈和弹性一致性, 主持；
(5) 工业控制技术全国重点实验室开放基金项目 （ICT2025B37）, 基于超图和Stackelberg博弈的分布式储能系统安全控制与优化, 主持；
(6) 大规模复杂系统数值模拟教育部重点实验室开放基金A类项目（NSLSCS202502）, 多层网络中混合威胁下分数阶系统的动态分析与控制研究, 主持；
(7) 南京市留学人员科技创新项目择优资助 （2021批次）, 多智能体博弈与弹性一致性, 主持。
Serving as Principal Investigator for multiple research grants, including projects from the National Natural Science Foundation of China (General and Youth Programs), the Ministry of Science and Technology's National Key R&D Program, Jiangsu Provincial Natural Science Foundation, and Nanjing's Talent Support Program.
奖励与荣誉
国际Obada杰出青年学者奖（Obada-Prize 2023- Young Distinguished Researchers）；
江苏省“双创博士”；
东南大学“至善学者”A类；
IEEE Transactions on Cybernetics 杰出审稿人；
香港大学博士生奖学金（2014-2019）；
江苏省普通高等学校优秀本科毕业论文一等奖。
Awarded with multiple international and national academic honors for research excellence, including awards from the Obada Foundation, Jiangsu Province, SEU, HKU and IEEE societies.
课程信息
编译方法（双语，专业主干课，华为通用软件开发基座课程，国产化教学创新实践课程）（本科，大三秋季学期）；
人工智能安全（研究生，秋季学期（南京））。
Methodology of Compiling (Bilingual, Core Major Course) (Undergraduate Level, Fall Semester of Junior)
Artificial Intelligence Cybersecurity (Graduate Level, Fall Semester（Nanjing Jiulonghu Campus）)
学术成果
[1] X. Gong, Y. Cao, X. Li, H. Lin, Z. Shu, and G. Wen, “Resilient output containment of heterogeneous multi-agent systems against Byzantine attacks,” IEEE Trans. Signal Inf. Process. Netw., vol. 11, pp. 938-951, 2025.
[2] Y. Liu, Z. Gao, Y. Cao, and D. Zhou, “Two-stage unidirectional fusion network for RGBT tracking,” Knowl.-Based Syst., vol. 310, Art. no. 112983, 2025.
[3] Y. Cao, S. Dharani, M. Sivakumar, A. Cader, R. Nowicki, “Mittag-Leffler synchronization of generalized fractional-order reaction-diffusion networks via impulsive control,” Journal of Artificial Intelligence and Soft Computing Research, vol. 15, no.1, pp. 25-36, 2025.
[4] Y. Cao, A. Chandrasekar, T. Radhika, and V. Vijayakumar, “Input-to-state stability of stochastic Markovian jump genetic regulatory networks,” Math. Comput. Simul., vol. 222, pp. 174–187, 2024.
[5] Y. Cao, P. Guo, and L. Guerrini, “Hopf bifurcation of the ring unidirectionally coupled Toda oscillators with distributed delay,” Int. J. Bifurcation Chaos, vol. 34, no. 12, Art. no. 2450148, 2024.
[6] A. Kumar, S. Singh, S. Das, and Y. Cao, “Projective quasi-synchronization of complex-valued recurrent neural networks with proportional delay and mismatched parameters via matrix measure approach,” Eng. Appl. Artif. Intell., vol. 126, Art. no. 106800, 2023.
[7] Y. Cao, K. Udhayakumar, K. P. Veerakumari, and R. Rakkiyappan, “Memory sampled data control for switched-type neural networks and its application in image secure communications,” Math. Comput. Simul., vol. 201, pp. 564–587, 2022.
[8] R. Saravanakumar, A. Amini, R. Datta, and Y. Cao, “Reliable memory sampled-data consensus of multi-agent systems with nonlinear actuator faults,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 69, no. 4, pp. 2201–2205, 2022.
[9] S. A. Samy, Y. Cao, R. Ramachandran, J. Alzabut, and M. Niezabitowski, “Globally asymptotic stability and synchronization analysis of uncertain multi-agent systems with multiple time-varying delays and impulses,” Int. J. Robust Nonlinear Control, vol. 32, no. 2, pp. 737–773, 2022.
[10] Y. Cao, S. Ramajayam, R. Sriraman, and R. Samidurai, “Leakage delay on stabilization of finite-time complex-valued BAM neural network: Decomposition approach,” Neurocomputing, vol. 463, pp. 505–513, 2022.
[11] X. Jin, Z. Wang, X. Chen, Y. Cao, and G. P. Jiang, “Stochastic synchronization of multiplex networks with continuous and impulsive couplings,” IEEE Trans. Netw. Sci. Eng., vol. 8, no. 3, pp. 2533–2544, 2021.
[12] Y. Cao, “Bifurcations in an Internet congestion control system with distributed delay,” Appl. Math. Comput., vol. 347, pp. 54–63, 2019.
[13] Y. Cao, R. Samidurai, and R. Sriraman, “Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function,” Math. Comput. Simul., vol. 155, pp. 57–77, 2019.
[14] H. Huang, T. Huang, and Y. Cao, “Reduced-order filtering of delayed static neural networks with Markovian jumping parameters,” IEEE Trans. Neural Netw. Learn. Syst., vol. 29, no. 11, pp. 5606–5618, 2018.
[15] H. Su, Y. Ye, Y. Qiu, Y. Cao, and M. Z. Q. Chen, “Semi-global output consensus for discrete-time switching networked systems subject to input saturation and external disturbances,” IEEE Trans. Cybern., vol. 49, no. 11, pp. 3934–3945, 2018.
[16] Y. Cao, L. Zhang, C. Li, and M. Z. Q. Chen, “Observer-based consensus tracking of nonlinear agents in hybrid varying directed topology,” IEEE Trans. Cybern., vol. 47, no. 8, pp. 2212–2222, 2017.
其他
每年招收 2-3 名博士研究生（电子信息（专业）、网络空间安全（学术）（1.网络弹性控制与优化；2.群体博弈与强化学习），优秀博士生可申请香港城市大学联合培养）， 3-6 名硕士研究生（南京无锡学硕专硕均有名额，拥有保研资格同学欢迎提前联系），同时欢迎对于科研创新有热情的本科生（专业不限）提前加入课题组。课题组倡导教学相长、亦师亦友、互助互信、注重一对一的科研指导和沟通交流，课题组支持学生参与国内外知名学术会议和院所的交流访问。欢迎对人工智能安全、网络空间安全、强化学习、通信网络与智能感知、群体智能、网络化决策与控制、信息论与密码学、生物数学等方向充满热情、学习态度端正、理论基础扎实、具备相关专业背景的同学与我联系，联系时请将个人简历+主要研究成果（论文、专利、软著、奖励、学科竞赛、项目经历）等能体现个人科研能力和学术水平材料发到邮箱。（邮件标题请注明：硕士/博士+姓名+单位）
办公地点：江苏省南京市江宁区秣周东路9号紫金山实验室（中国·江宁无线谷） A6 212。
PhD & MSc Opportunity:
Seeking self-motivated PhD, MSc (both SEU Nanjing Jiulonghu & Wuxi Campus), and undergraduate students passionate about Artificial Intelligence Cybersecurity, and Network Control Systems—please email CV if interested.
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