Yue Qiu, Assistant Professor

Yue Qiu, Assistant Professor

Tel:  (021) 20684460
Email: qiuyue@shanghaitech.edu.cn
Office: Room 1C-303B, SIST Building
Major: CS
Education: Ph.D., TU Delft, the Netherlands


  • Numerical linear algebra

  • Uncertainty quantification

  • Matrix computations

  • Data assimilation

  • Data science


Yue Qiu obtained his PhD in applied mathematics at Delft University of Technology, Delft, the Netherlands in December 2015. Prior to that, he studied systems and control and received his B.Sc. and M.Sc. degree in 2009 and 2011, respectively, at Northeastern University, Shenyang, China. From December 2015 to October 2019 he performed his postdoc research at Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. Since October 2019, he is appointed as an assistant professor at School of Information Science and Technology at ShanghaiTech University. His research focuses on designing fast computational algorithms for the simulation, optimization, and uncertainty quantification of large-scale dynamical systems governed by partial differential equations (PDEs) using low-rank approximation.


  1. P. Benner, Y. Qiu*, M. Stoll, “Low-rank eigenvector compression of posterior covariance matrices for linear Gaussian inverse problems”, SIAM/ASA Journal on Uncertainty Quantification, vol. 6, no. 2, pp. 965-989, 2018.

  2. M. Baumann, R. Astudillo, Y. Qiu, E. Ang, M.B. Van Gijzen and R.-E. Plessix, “An MSSS-preconditioned matrix equation approach for the time-harmonic elastic wave equation at multiple frequencies”, Computational Geosciences, vol. 22, no. 1, pp. 43-61, 2018.

  3. Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, C. Vuik, “Evaluation of multilevel sequentially semiseparable preconditioners on CFD benchmark problems using incompressible flow and iterative solver software”, Mathematical Methods in the Applied Sciences, vol. 41, no. 3, pp. 888-903, 2018.

  4. Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, C. Vuik, “Efficient preconditioners for PDE-constrained optimization problems with a multilevel sequentially semiseparable matrix structure”, Electronic Transactions on Numerical Analysis, vol. 44, pp. 367-400, 2015.

  5. Y. Qiu, M. B. van Gijzen, J.-W. van Wingerden, M. Verhaegen, “On the application of a novel model order reduction algorithm for sequentially semiseparable matrices to the identification of one-dimensional distributed Systems”, Proceedings of the European Control Conference, pp. 2750-2755, 2014.