• / Manolis Tsakiris 助理教授、研究员
    邮箱: mtsakiris@@shanghaitech.edu.cn
    电话:(021) 20685356
    办公室: 信息学院1C-303A室
    专业方向: 计算机科学与技术
Manolis Tsakiris 助理教授、研究员

电 话:(021) 20685356
Email :mtsakiris@@shanghaitech.edu.cn
个人主页: https://sites.google.com/site/manolisctsakiris/
专业方向: 计算机科学与技术


  • Data Science 数据科学

  • Machine Learning 机器学习

  • Commutative Algebra 交换代数


Manolis Tsakiris 毕业于希腊国立雅典理工大学电气工程和计算机科学专业。他在英国帝国理工大学获得信号处理领域的硕士学位,在美国约翰霍普金斯大学获得理论机器学习领域的博士学位,师从Rene Vidal教授。20178月,他加入了上海科技大学信息科学与技术学院担任助理教授。他的主要研究兴趣为基于数据的子空间学习以及交换代数领域的相关问题。

Manolis Tsakiris is an electrical engineering and computer science graduate of the National Technical University of Athens, Greece. He holds an M.S. degree in signal processing from Imperial College London, UK, and a PhD degree from Johns Hopkins University, USA, in theoretical machine learning, under the supervision of Prof. Rene Vidal. Since August 2017 he is an assistant professor at the School of Information Science and Technology (SIST) at ShanghaiTech University. His main research interests are subspace learning from data and related problems in commutative algebra. 


1. M. C. Tsakiris, Linearization of resolutions via products, Journal of Pure and Applied Algebra (to appear), 2019.

2. Z. Zhu, Y. Wang, D. P. Robinson, D. Naiman, R. Vidal, M. C. Tsakiris, Dual principal component pursuit: Improved analysis and efficient algorithms, Neural Information Processing Systems (NIPS), 2018.

3. M. C. Tsakiris and R. Vidal. Dual principal component pursuit, Journal of Machine Learning Research, 2018.

4. M. C. Tsakiris and R. Vidal. Theoretical analysis of sparse subspace clustering with missing entries, International Conference on Machine Leanring, 2018.

5. M. Tsakiris and R. Vidal. Hyperplane clustering via dual principal component pursuit. International Conference on Machine Learning, 2017.

6. M. Tsakiris and R. Vidal. Algebraic clustering of affine subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.

7. M. Tsakiris and R. Vidal. Filtrated algebraic subspace clustering. SIAM Journal of Imaging Sciences, 2017.

8. M. Tsakiris and D. Tarraf. Algebraic decompositions of dynamic programming problems with linear dynamics. Systems and Control Letters, 2015.

9. M. Tsakiris, C. Lopes and V. Nascimento. An array recursive least- squares algorithm with generic nonfading regularization matrix. IEEE Signal Processing Letters, 2010.