My name is Xueyu Zhu. I got my PhD from division of  applied mathematics at Brown University, supervised by Professor Jan S Hesthaven. Currently, I am conducting my postdoctoral research under the supervision of Professor Dongbin Xiu at University of Utah. 

Contact information:

Email address:

Mail address:
    Scientific Computing and Imaging Institute, University of Utah
    72  Central Campus Dr, 2851 WEB
    Salt Lake City, UT, 84112

Office phone: 801-581-3037

Research Interest:

Reduced Basis Method, Model Reduction
High order numerical methods (discontinuous galerkin methods, WENO) 
High performance computing, GPGPU computing
Uncertainty Quantification


         [J12]  X. Zhu, E.M. Linebarger, D. Xiu, Multi-fidelity stochastic collocation of computation of statistical                                   moments, submitted, 2015

[J11]  X. Zhu, D. Xiu, Y. Chen, Properties of local polynomial chaos for linear differential equations with high dimensional random inputs, submitted, 2015

[J10] S. Jin, D. Xiu, X. Zhu, A well-balanced Stochastic Galerkin Method for scalar hyperbolic balance laws with Random Inputs, accepted, Journal of Scientific Computing, 2015, [link]
[J9] R. Munipalli, Z. Liu, X. Zhu, S Menon, J.S. Hesthaven, Applications of Model Reduction Techniques in Aerospace Combustors,  preprint, 2014[link]

[J8] S. Jin, D. Xiu, X. Zhu, Asymptotic preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings, Journal of Computational Physics, 285, 265-279, 2015, [link]
[J7] R. Munipalli, Z. Liu, X. ZhuS MenonJ.S. HesthavenModel Reduction Opportunities in Detailed Simulations of  Combustion Dynamics, AIAA paper 2014-0820, 52nd AIAA Aerospace Sciences Meeting, 2014, [link]

[J6] J.S. Hesthaven, S. Zhang, and X. Zhu, Reduced basis method for high order multiscale finite element method, SIAM Multiscale Modeling and Simulation, 13(1), 316-337, 2015, [link

[J5] X. Zhu, A.Narayan, and D.Xiu, Computational aspects of stochastic collocation with multi-fidelity models, SIAM/ASA J. Uncertainty Quantification2(1), 444–463, 2014, [link] 

[J4] F. Chen, J.S. Hesthaven and X. Zhu, On the use of reduced basis methods to accelerate and stabilize the Parareal method, Chapter 7, Reduced Order Methods for Modeling and Computational Reduction (MS&A), Springer, 2013, [link]

[J3] K. Shahbazi, J.S. Hesthaven and X. Zhu, Multi-dimensional hybrid Fourier continuation-WENO solver for conservation laws, Journal of Computational Physics, 253, 209–225, 2013, [link]

[J2] J.S. Hesthaven, S. Zhang, and X. Zhu, High-order multiscale finite element methods for elliptic problemsSIAM Multiscale Modeling and Simulation12(2), 650–666, 2014, [link]

[J1] Y. Chen, J.S. Hesthaven, Y. Maday, J. Rodriguez and X. Zhu, Certified reduced methods for electromagnetic scattering and radar cross section prediction, Comput. Methods Appl. Mech. Engin., 233, 92-108, 2012,[link]

[T3] Xueyu Zhu, Reduced Basis Methods and Their applications, PhD thesis, 2013

[T2] Xueyu Zhu, Multiscale Simulation of Flow past Nanotubes, master thesis, 2007,[link]

[T1] Xueyu Zhu, Brownian dynamics simulation of polymer behaviors in microfluidic systems, master thesis, 2005 [link]

Conference and Workshop:

         6. The International Congress on Industrial and Applied Mathematics (ICIAM), Aug, 2015
5. SIAM Applications of Dynamic Systems, Snowbird, Utah, May, 2015 
4. SIAM CSE, Salt Lake City, Utah, March, 2015
3. A Stochastic Collocation Approach for Multi-Fidelity Model Classes, SIAM UQ, Savannah, Georgia, March, 2014
2. Towards a Blackbox Approach for Model Reduction via EIM, SIAM CSE, Boston, 2013,[link]
1. GPU accelerated High order Hybrid methods for shock problems, Applied Math Days, RPI, Troy, 2012,[link]

Invited Seminars:

            2. ACMS Colloquium, University of Notre Dame, Nov 24, 2015
          1.Applied math and PDE seminar, MSU, East Lansing, 2013

Referee for journals/proceedings: