基本信息：
姓 名：聂来森
职 称：副教授
学 科：通信与信息系统
通信地址：西北工业大学长安校区bet48365365212室
邮 编：710129
联系电话：13087597350
E-mail：nielaisen@nwpu.edu.cn
研究方向
1.网络流量测量技术
2.网络安全
教育背景：
2016年12月 东北大学通信与信息系统 工学博士
工作履历：
2017年1月至今，西北工业大学bet48365365 副教授
科研工作：
主持国家自然科学基金青年基金、中央高校基础科研业务费。作为骨干参与国家自然科学基金面上项目等国家级项目3项。
主要论著及代表性论文：
期刊论文：
[1] Laisen Nie, Xiaojie Wang, Liangtian Wan, Shui Yu, Houbing Song, Dingde Jiang, Network traffic prediction based on Deep Belief Network and Spatio-Temporal Compressive Sensing in Wireless Mesh Backbone Networks, Wireless Communications & Mobile Computing, 2018(2018): 1-10.
[2] Laisen Nie, Dingde Jiang, Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks, Annals of Telecommunications, 72(2017): 297-305.
[3] Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu, Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks, Journal of Network and Computer Application, 2016, 76(2016): 16-22.
[4] Laisen Nie, Dingde Jiang, Lei Guo, Traffic matrix estimation for IP-over-WDM networks via optical bypass techniques, China Communications, 2016, 13(7): 7-15.
[5] Laisen Nie, Dingde Jiang, Lei Guo, A convex optimization-based traffic matrix estimation approach in IP-over-WDM backbone networks, Journal of Network and Computer Applications, 2015, 50(2015): 32-38.
[6] Laisen Nie, Dingde Jiang, Lei Guo, A compressive sensing-based approach to end-to-end network traffic reconstruction utilizing partial measured origin-destination flows, Transactions on Emerging Telecommunications Technologies, 2015, 26(8): 1108-1117.
[7] Laisen Nie, Dingde Jiang, A compressive sensing-based network tomography approach to estimating origin-destination flow traffic in large-scale backbone networks, International Journal of Communication Systems, 2015, 28(5): 889-900.
[8] Laisen Nie, Dingde Jiang, Lei Guo, End-to-end network traffic reconstruction via network tomography based on compressive sensing, Journal of Network and Systems Management, 2015, 23(3): 709-730.
[9] Laisen Nie, Dingde Jiang, Lei Guo, Zhengzheng Xu, A reconstructing approach to end-to-end network traffic based on multifractal wavelet model, International Journal of Communication Systems, 2014, 27(12): 3565-3580.
[10] Laisen Nie, Dingde Jiang, Lei Guo, A power laws-based reconstruction approach to end-to-end network traffic, Journal of Network and Computer Applications, 2013, 36(2): 898-907.
[11] Laisen Nie, Dingde Jiang, Zhengzheng Xu, A compressive sensing-based reconstruction approach to network traffic, Computers and Electrical Engineering, 2013, 39(5): 1422-1432.
[12] Dingde Jiang, Laisen Nie, Zhihan Lv, and Houbing Song, Spatio-Temporal Kronecker compressive sensing for traffic matrix recovery, IEEE Access, 2016,4(2016): 3046-3053.
[13] Dingde Jiang, Zhengzheng Xu, Laisen Nie, and Jindi Liu, An approximation approach to end-to-end traffic in communication networks, Chinese Journal of Electronics, 2012, 21(4): 705-710.
会议论文：
[1] Laisen Nie, Dingde Jiang, Shui Yu, and Houbing Song, Network traffic prediction based on Deep Belief Network in wireless mesh backbone networks, 2017 IEEE WCNC, 2017, pp. 1-5.
[2] Laisen Nie, Dingde Jiang, Lei Guo, Shui Yu, and Houbing Song, Traffic matrix prediction and estimation based on deep learning for data center networks, 2016 IEEE Globecom Workshops, 2016, pp. 1-6.
[3] Laisen Nie, A novel network tomography approach for traffic matrix estimation problem in large-scale IP backbone networks, 2015 International Conference on Computer Science and Mechanical Automation, 2015, Hangzhou, China, pp. 97-101.
[4] Laisen Nie, Traffic matrix estimation approach based on partial direct measurements in large-scale IP backbone networks, 2015 5th International Conference on Electronics Information and Eergency Communication, 2015, pp. 178-181.
[5] Laisen Nie, Dingde Jiang, and Lei Guo, A compressive sensing-based reconstruction approach to end-to-end network traffic, 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, 2012, Shanghai, China, Sept. 21-23, pp. 1-4.
[6] Dingde Jiang, Wenda Qin, Qingyi Tang, Laisen Nie, and Zhang Jian, An estimation approach to traffic matrix in optical networks based on network tomography, Acta Photonica Sinica, 2014, 43(7): 1-10.
获奖情况：
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
社会兼职：
