聶來森

聶來森,博士,西北工業大學電子信息學院副教授、碩士研究生導師,主要從事信息與通信工程領域研究。2017年1月起任現職,2022年3月獲推薦晉升長聘副教授。

2013年獲國際學術會議COIN2013最佳論文獎。研究方向涵蓋網路測量技術、網路安全、雲計算網路流量矩陣估計,提出結合元學習與近端策略最佳化的跨域自組織網路流量測量最佳化算法。在《IEEE Transactions on Industrial Informatics》等期刊發表40餘篇論文。承擔本科數字電子技術基礎課程教學及線上維護工作。2024年入選史丹福大學全球前2%頂尖科學家年度影響力榜單。

基本介紹

  • 中文名:聶來森
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:信息與通信工程-通信與信息系統
  • 任職院校:西北工業大學
個人經歷,榮譽獎項,研究方向,學術成果,

個人經歷

工作經歷 Work Experience
2017年1月至今,西北工業大學電子信息學院 副教授 碩士研究生導師

榮譽獎項

1. 2015年8月 獲遼寧省自然科學學術成果獎三等獎(排名第一)
2. 2014年9月 獲CSC-IBM中國優秀學生獎學金
3. 2014年7月 獲遼寧省自然科學學術成果獎三等獎(排名第一)
4. 2014年6月 獲瀋陽市自然科學學術成果獎三等獎(排名第一)
5. 2013年10月 獲博士研究生國家獎學金
6. 2013年10月 獲國際學術會議COIN2013最佳論文獎

研究方向

1. 網路測量技術
2. 網路安全

學術成果

Academic Achievements
[1] 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. (SCI)
[2] 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. (SCI)
[3] 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. (SCI)
[4] 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. (SCI)
[5] 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. (SCI)
[6] 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. (SCI)
[7] 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. (SCI)
[8] 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. (SCI)
[9] 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. (SCI)
[10] Laisen Nie, Dingde Jiang, Zhengzheng Xu, A compressive sensing-based reconstruction approach to network traffic, Computers and Electrical Engineering, 2013, 39(5): 1422-1432. (SCI)
[11] 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. (EI)
[12] 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. (EI)
[13] 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. (EI)
[14] 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. (EI)
[15] 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. (EI)
[16] 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. (SCI)
[17] 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. (SCI)
[18] 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. (EI)

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