個(gè)人簡(jiǎn)介
張曌，女，漢族，湖南衡陽(yáng)人，中共黨員，博士，碩士生導(dǎo)師。2023年6月畢業(yè)于北京郵電大學(xué)，獲電子科學(xué)與技術(shù)專業(yè)工學(xué)博士學(xué)位，同年入職長(zhǎng)沙理工大學(xué)，從事教學(xué)科研工作。主要研究方向?yàn)槿斯ぶ悄芩惴ㄑ芯俊⒅悄芄I(yè)檢測(cè)、網(wǎng)絡(luò)安全、故障感知與診斷等，在國(guó)際權(quán)威SCI期刊上發(fā)表多篇學(xué)術(shù)論文。歡迎對(duì)電子信息技術(shù)及人工智能理論與應(yīng)用領(lǐng)域感興趣的同學(xué)加入課題組，一起努力，共同進(jìn)步！
主要研究領(lǐng)域
人工智能理論及其應(yīng)用、智能工業(yè)檢測(cè)、網(wǎng)絡(luò)安全
教學(xué)情況
主要承擔(dān)《傳感器與自動(dòng)測(cè)量》等課程教學(xué)
科研項(xiàng)目
1.湖南省水利科技項(xiàng)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(lián)系方式
E-mail: zhangzhao@csust.edu.cn
通訊地址：湖南省長(zhǎng)沙市天心區(qū)萬家麗路二段960號(hào)
長(zhǎng)沙理工大學(xué)
云就業(yè)平臺(tái)
后臺(tái)管理
