個人簡介

張曌，女，漢族，湖南衡陽人，中共黨員，博士，碩士生導師。2023年6月畢業(yè)于北京郵電大學，獲電子科學與技術專業(yè)工學博士學位，同年入職長沙理工大學，從事教學科研工作。主要研究方向為人工智能算法研究、智能工業(yè)檢測、網絡安全、故障感知與診斷等，在國際權威SCI期刊上發(fā)表多篇學術論文。歡迎對電子信息技術及人工智能理論與應用領域感興趣的同學加入課題組，一起努力，共同進步！

主要研究領域

人工智能理論及其應用、智能工業(yè)檢測、網絡安全

教學情況

主要承擔《傳感器與自動測量》等課程教學

科研項目

1.湖南省水利科技項目，XSKJ2024064-37，湖南省水土保持遙感影像智慧解譯， 2024/10-2025/12，在研，主持

代表性論文

[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.

聯系方式

E-mail: zhangzhao@csust.edu.cn

通訊地址：湖南省長沙市天心區(qū)萬家麗路二段960號