个人简介

周建新，武汉理工大学信息工程学院副教授、硕士生导师；主要从事计算机网络协议&性能分析，基于深度学习的工业数据应用等理论与技术研究。主持和参与企业委托的应用项目研发10余项；发表期刊&会议论文20余篇，授权发明专利5项；指导学生获学科竞赛国家级奖励多项，包括中国电子设计竞赛省二等奖、国家大学生创新训练项目省二等级、国家大学生创业训练项目二等奖等。

联系方式：zjx@whut.edu.cn

教育和工作经历

2010/09-至今，武汉理工大学，信息工程学院，副教授

2005/07-2010/08，武汉理工大学，信息工程学院，讲师

2004/06-2005/06，北电通信设备有限公司，软件开发

2000/09-2004/06，华中科技大学，通信与信息系统，博士

1997/09-2000/06，中国地质大学(武汉)，地球探测技术，硕士

1993/09-1997/06，中国地质大学(武汉)，应用地球物理，学士

主要研究方向

计算机网络协议&性能分析，基于深度学习的工业数据应用

主持或参与的科研项目

[1] 企业委托项目，通用型数据采集和规则解析执行软件系统设计与开发，2024-2026

[2] 企业委托项目，面向模型的PEM制氢系统数据研究项目，2023-2024

[3] 企业委托项目，面向燃料电池全生命周期的数字孪生数据系统设计开发，2022-2023

[4] 企业委托项目，基于燃料电池车辆示范运行数据的机器学习分析技术研究，2021-2022

[5] 企业委托项目，新能源电池研发测试与加氢站安全数据分析技术研究，2020-2021

代表性学术成果

[1] Zhou N, Zeng H, Zheng Z, Zhou J.X. PEMFC RUL Prediction for Non-Stationary Time Series Based on Crossformer Model[J]. Applied Sciences, 2025, 15(5): 2515

[2] Zhou JX,Luo An,ZhouNing. Mobile Network Traffic Prediction Based On Cross-Patch Feature Fusion. [C]//2024 4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024

[3] Luo A, Zhou J.X., Zhou N. Long-term network traffic prediction based on learnable trend seasonal decomposition[C]//2024 4th International Conference on Communication Technology and Information Technology (ICCTIT). IEEE, 2024: 516-520

[4] Zhou N, Zeng H, Zhou J.X. DLinear-Based Prediction of the RUL of PEMFC[C]//2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2024: 221-224.

[5] Zhang, Zezhong; Zhou, JX; Zhou, Ning. Improved IoT Network Malicious Traffic Detection Method Based on Extreme Value Theory[C]// 5th International Conference on Electronic Engineering and Informatics, ICEEI 2023.IEEE,2024:581-585

[6] Mao, Zhe;Zhou, JX; Zhou, Ning. Generation of Defective Lithium Battery Electrode Samples Based on Diffusion Models [C]// 2023 4th International Conference on Information Science, Parallel and Distributed Systems. IEEE, 2023: 291-294.

[7] Zhou N, Chen H, Zhou JX. Fuel cell fault classification based on long and short-term memory full convolutional neural networks[C]//2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2023: 972-975.

[6] Hong, Yu;Zhou, JX; Zhou, Ning. Spatial-Temporal Feature Fusion Network for Network Traffic Prediction [C]// 2023 3rd International Symposium on Computer Technology and Information Science. IEEE, 2023：162-166.

[7] Junbo Li，Zhou，JX，Ning Zhou. Research on network traffic prediction based on spatial feature fusion[C]// 2022 2nd International Symposium on Computer Technology and Information Science (ISCTIS 2022)

[8] Ning Zhou;Liu,Zhengxin; Zhou,JX. Yolov5-based defect detection for wafer surface micropipe. [C]//2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS).2022:165-169

[9] Zhou N, Ren N, Zhou JX, et al. Prediction of remaining mileage of hydrogen energy vehicles based on LSTM[C]//2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE). IEEE, 2021: 749-753.

[10] Zhou N, Wang Z, Zhou JX. Research on driving data classification of fuel cell vehicle based on CNN-BiLSTM network[C]//2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). IEEE, 2021: 864-867.

已获取专利

[1]车载燃料电池远程故障分类诊断方法、装置和存储介质，202110104677.X，武汉理工大学

[2]燃料电池汽车驾驶行为分析方法、装置和存储介质，202110104118.9，武汉理工大学

[3]基于充电-用氢模式的燃料电池汽车剩余里程预测方法，202110154348.6，武汉理工大学

[4]一种Web与微服务的统一认证系统及方法，201910354234.9，武汉理工大学

[5]一种面向电池生产数据的关联规则算法，201910460669.1， 武汉理工大学