尼 克

时间:2020-08-06浏览:3716

电  话:(0551)63601767

E- Mail:nfr@ustc.edu.cn

个人主页:http://staff.ustc.edu.cn/~nfr/ 


主要研究方向:大规模物联网,数据优化,机器学习等


Nikolaos Freris(尼克),男,特任教授,博士生导师,IEEE高级会员。2005年获得雅典国家技术大学高级学士学位,同年赴美国伊利诺伊大学厄巴纳-香槟分校学习,获得电气与计算机工程硕士学位(2007),数学专业硕士学位(2008)及电气与计算机工程博士学位(2010)。2010年至2012年在瑞士IBM研究院担任博士后学者,2012年至2014年在瑞士洛桑联邦理工学院担任高级研究员,2014年至2018年在纽约大学阿布扎比分校担任轨道制助理教授,并兼任纽约大学坦顿工学院助理教授。2019年1月加入中国科学技术大学计算机科学与技术学院担任特任教授。主持多项国家级及国际级科研项目,在IEEE TACON、VLDB journal、SIMAX、CDC、Allerton、ICASSP等高水平学术期刊与会议发表学术论文30余篇,并多次受邀于国内外高校、会议等做研究报告。目前发明美国专利2项,中国专利1项。参与组织并主持如BigCom、IJCAI、Allerton、EUCCO、IRAV等国际会议,在IEEE TACON、ToN、TIT、TSP、Automatica、VLDBJ、KDD、SIOPT、IJCAI等多个知名期刊审稿人,并担任Neurocomputing 2017的客座编辑。


获奖情况

  1. 2017获美国国家科学基金会Award in Algorithmic Foundations (#1717391)

  2. 2014获IBM High Value Patent Award

  3. 2012获Travel Award SIAM Conference on Data Mining

  4. 2012获IBM Invention Achievement Award

  5. 2011获IBM Invention Achievement Award


十篇代表性论著

代表期刊论文

  1. P. Latafat, N. Freris and P. Patrinos, “A new randomized block-coordinate primal-dual algorithm for distributed optimization.” IEEE Transactions on Automatic Control, 2019, to appear.

  2. M. Vlachos, N. Freris and A. Kyrillidis, “Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain.” International Journal on Very Large Data Bases (VLDB Journal), vol. 24(1), pp. 1-24, 2015.

  3. S. Zoumpoulis, M. Vlachos, N. Freris and C. Lucchese, “Right-Protected Data Publishing with Provable Distance-based Mining.” IEEE Transactions on Knowledge and Data Engineering, vol. 26(8), pp. 2014-2028, 2014.

  4. A. Zouzias and N. Freris, “Randomized Extended Kaczmarz for Solving Least Squares.” SIAM Journal on Matrix Analysis and Applications, vol. 34(2), pp. 773-793, 2013.

  5. N. Freris, C. Hsu, J. Singh and X. Zhu, “Distortion-Aware Scalable Video Streaming to Multinetwork Clients.” IEEE/ACM Transactions on Networking, vol. 21, no.2, pp. 469-481, 2013.


代表会议论文

  1. H. Wai, N. Freris, A. Nedich and A. Scaglione, “SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.” Proceedings of the 57th IEEE Conference on Decision and Control (CDC), pp. 1751-1756, 2018.

  2. T. Huang, N. Freris, P. R. Kumar and L. Xie, “Localization of forced oscillations in the power grid under resonance conditions.” Proceedings of the 52nd Annual Conference on Information Sciences and Systems (CISS), March 2018.

  3. N. Freris and P. Patrinos, “Distributed computing over encrypted data.” Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, pp. 1116-1122, Sep. 2016.

  4. P. Sopasakis, N. Freris and P. Patrinos, “Accelerated reconstruction of a compressively sampled data stream.” Proceedings of the 24th European Signal Processing Conference (EUSIPCO’16), pp. 1078-1082, Aug. 2016.

  5. N. Freris, O. Öçal and M. Vetterli, “Compressed Sensing of streaming data.” Proceedings of the 51st Allerton Conference on Communication, Control and Computing, pp. 1242-1249, Oct. 2013.