个人简介

张曌，女，汉族，湖南衡阳人，中共党员，博士，硕士生导师。2023年6月毕业于北京邮电大学，获电子科学与技术专业工学博士学位，同年入职37000vip威尼斯，从事教学科研工作。主要研究方向为人工智能算法研究、智能工业检测、网络安全、故障感知与诊断等，在国际权威SCI期刊上发表多篇学术论文。欢迎对电子信息技术及人工智能理论与应用领域感兴趣的同学加入课题组，一起努力，共同进步！

主要研究领域

人工智能理论及其应用、智能工业检测、网络安全

教学情况

主要承担《传感器与自动测量》等课程教学

科研项目

1.湖南省水利科技项目，XSKJ2024064-37，湖南省水土保持遥感影像智慧解译， 2024/10-2025/12，在研，主持

代表性论文

[1] Zhang Z, Li Q, Liu S, et al. Casual Inference-Enabled Graph Neural Networks for Generalized Fault Diagnosis in Industrial IoT System[J]. Information Sciences, 2025, 694:121719.

[2] Zhang Z, Zhang Y, Li H, et al. Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things[J]. Engineering Applications of Artificial Intelligence, 2024, 135: 108826.

[3] Zhang Z, Zhang Y, Guo D, et al. SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system [J]. Future Generation Computer Systems, 2022, 134: 154-169.

[4] Zhang Z, Zhang Y, Guo D, et al. Communication-efficient federated continual learning for distributed learning system with Non-IID data[J]. Science China Information Sciences, 2023, 66(2): 122102.

[5] Zhang Z, Zhang Y, et al. A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks[J]. International Journal of Machine Learning and Cybernetics, 2021, 12(6): 1649-1665.

[6] Zhang Z, Zhang Y, Niu J, et al. Unknown network attack detection based on open‐set recognition and active learning in drone network[J]. Transactions on Emerging Telecommunications Technologies, 2022, 33(10): e4212.

[7] Zhang Z, Yong Z, Yinglei T, et al. Adaptive transfer learning framework for dense prediction of human activity recognition[J]. The Journal of China Universities of Posts and Telecommunications, 2019, 26(5): 1.

联系方式

E-mail: zhangzhao@csust.edu.cn

通讯地址：湖南省长沙市天心区万家丽路二段960号