聂来森
| 姓名 | 聂来森 |
| 性别 | 男 |
| 学校 | 西北工业大学 |
| 部门 | 电子信息学院 |
| 学位 | 工学博士学位 |
| 学历 | 博士研究生毕业 |
| 职称 | 副高 |
| 联系方式 | 实用新型1875包写包过 |
| 邮箱 | nielaisen@nwpu.edu.cn |
| 集群智慧云企服 / 知识产权申请大平台 微信客服在线：543646 急速申请 包写包过 办事快、准、稳 软件产品登记测试 软件著作权666元代写全部资料 实用新型专利1875代写全部资料 |
|
综合介绍 General Introduction 个人相册 教育教学个人经历 personal experience 工作经历 2017年1月至今，西北工业大学电子信息学院 副教授 博士生导师 荣誉获奖社会兼职 Social Appointments IEEE Senior Member中国指挥与控制学会青年工作委员会委员 科学研究科学研究 Scientific Research 研究方向：1. 网络测量与数字孪生技术2. 网络安全与入侵检测技术主持项目：国家自然科学基金面上项目（2022-2025）国家自然科学基金青年项目（2018-2020）青岛市源头创新计划应用基础研究项目（2018-2020）CCF-腾讯犀牛鸟基金（2019-2020）横向课题若干 学术成果学术成果 Academic Achievements [1] Yixuan Wu, Laisen Nie, Shupeng Wang, Zhaolong Ning, and Shengtao Li, Intelligent Intrusion Detection for Internet of Things Security: A Deep Convolutional Generative Adversarial Network-enabled Approach, IEEE Internet of Things Journal, Early Access Articles.[2] Ying Gao, Yijian Chen, Xiping Hu, Hongliang Lin, Yangliang Liu, Laisen Nie, Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing, IEEE Transactions on Industrial Informatics, 2021, 17(7): 5041 -5049.[3] Laisen Nie, Xiaojie Wang, Shupeng Wang, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, and Shengtao Li, Network Traffic Prediction in Industrial Internet of Things Backbone Networks: A Multi-Task Learning Mechanism, IEEE Transactions on Industrial Informatics, 2021, 17(10): 7123-7132.[4] Laisen Nie, Xiaojie Wang, Wentao Sun, Yongkang Li, Shengtao Li, and Peng Zhang, Imitation Learning-enabled Vehicular Edge Computing: Toward Online Task Scheduling, IEEE Network, Accepted.[5] Laisen Nie, Wentao Sun, Shupeng Wang, Zhaolong Ning, Joel J. P. C. Rodrigues, Yixuan Wu, and Shengtao Li, Intrusion Detection in Green Internet of Things: A Deep Deterministic Policy Gradient-based Algorithm, IEEE Transactions on Green Communications and Networking, 2021, 5(2): 778-788.[6] Laisen Nie, Yixuan Wu, Xiaojie Wang, Lei Guo, Guoyin Wang, Xinbo Gao, and Shengtao Li, Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-based Approach, IEEE Transactions on Computational Social Systems, Early Access Articles.[7] Xiaojie Wang, Laisen Nie, Zhaolong Ning, Lei Guo, Guoyin Wang, Xinbo Gao, and Neeraj Kumar, Deep Learning-based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles, ACM Transactions on Internet Technology, Early Access Articles.[8] Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, Balqies Sadoun, Huizhi Wang, Shengtao Li, Lei Guo, and Guoyin Wang, A Reinforcement Learning-Based Network Traffic Prediction Mechanism in Intelligent Internet of Things, IEEE Transactions on Industrial Informatics, 2021, 17(3): 2169-2180.[9] Laisen Nie, Zhaolong Ning, Xiaojie Wang, Xiping Hu, Jun Cheng, and Yongkang Li, Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method, IEEE Transactions on Network Science and Engineering, 2020, 7(4)：2219-2230.[10] Laisen Nie, Huizhi Wang, Shimin Gong, Zhaolong Ning, Mohammad S. Obaidat; and Kuei-Fang Hsiao, Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs, IEEE Global Communications Conference, Waikoloa, HI, 2019.12.9-2019.12.13.[11] Huizhi Wang, Laisen Nie, Zhaolong Ning, Mohammad S. Obaidat, and Runze Shang, Traffic Measurement Optimization Based on Reinforcement Learning in Large-Scale IP Backbone Networks, IEEE Global Communications Conference, Waikoloa, HI, 2019.12.9-2019.12.13. 综合介绍 |
