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基本信息 The basic information
姓名: 聂来森

学院: 电子信息学院


学历: 博士研究生毕业

学位: 工学博士


职称: 副教授

职务:


学科: 信息与通信工程-通信与信息系统





工作经历 Work Experience
2017年1月至今，西北工业大学电子信息学院 副教授 硕士研究生导师



荣誉获奖 Awards Information
1. 2015年8月 获辽宁省自然科学学术成果奖三等奖（排名第一）
2. 2014年9月 获CSC-IBM中国优秀学生奖学金
3. 2014年7月 获辽宁省自然科学学术成果奖三等奖（排名第一）
4. 2014年6月 获沈阳市自然科学学术成果奖三等奖（排名第一）
5. 2013年10月 获博士研究生国家奖学金
6. 2013年10月 获国际学术会议COIN2013最佳论文奖



科学研究 Scientific Research
研究方向：
1. 网络测量技术
2. 网络安全



学术成果 Academic Achievements
[1] 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, Early Access Articles.
[2] 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.
[3] 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, Accepted.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.



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