Numerical Methods
High-Performance Computing (HPC)
Finite Element Method (FEM)
Hemodynamic Simulation
Fractional-order Algorithms

   

2023/12 - Present        Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences                     Associate Professor

2021/2 - 2021/2           University of Macau                                                                                                            Visiting Scholar

2020/04 - 2023/11       Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences                     Assistant Professor

2018/01 - 2020/03       Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences                     Postdoctoral Researcher

High Performance Numerical Computation and Applications

   

[1]         L. Xia, X. Jiang, F. Zeng, Z. Lin, S. Qin, and R. Chen, “Enhanced parallel computation for time-fractional fluid dynamics: A fast time-stepping method with Newton-Krylov-Schwarz solver,” Communications in Nonlinear Science and Numerical Simulation, vol. 133, pp. 107952, 2024.

[2]         L. Gu, S. Qin, L. Xu, and R. Chen, “Physics-informed neural networks with domain decomposition for the incompressible Navier–Stokes equations,” Physics of Fluids, vol. 36, no. 2, 2024.

[3]         S. Qin, R. Chen, B. Wu, and X.-C. Cai, “A highly parallel fully implicit domain decomposition method for the simulation of the hemodynamics of a patient-specific artery at the full-body scale,” Journal of Computational Physics, vol. 472, pp. 111730, 2023.

[4]         Z. Lin, B. Wu, S. Qin, X. Wang, R. Chen, and X.-C. Cai, "Numerical calculation of the portal pressure gradient of the human liver with a domain decomposition method," Domain Decomposition Methods in Science and Engineering XXVI, pp. 161-168: Springer International Publishing Cham, 2023.

[5]         J. Zhou, J. Li, S. Qin, J. Liu, Z. Lin, J. Xie, Z. Zhang, and R. Chen, “High-resolution cerebral blood flow simulation with a domain decomposition method and verified by the TCD measurement,” Computer Methods and Programs in Biomedicine, vol. 224, pp. 107004, 2022.

[6]         J. Zhou, J. Li, S. Qin, W. Guo, and R. Chen, “Hemodynamic simulation of aneurysmal aorta using a parallel algorithm and a flow-rate based resistance splitting method,” Computers and Electrical Engineering, vol. 104, pp. 108440, 2022.

[7]         Z.-J. Liao, S. Qin, R. Chen, and X.-C. Cai, “A parallel domain decomposition method for large eddy simulation of blood flow in human artery with resistive boundary condition,” Computers & Fluids, vol. 232, pp. 105201, 2022.

[8]         L. Feng, F. Liu, V. V. Anh, and S. Qin, “Analytical and numerical investigation on the tempered time-fractional operator with application to the Bloch equation and the two-layered problem,” Nonlinear Dynamics, vol. 109, no. 3, pp. 2041-2061, 2022.

[9]         J. Zhou, J. Li, S. Qin, and R. Chen, "High resolution patient-specific blood flow simulation in a full-size aneurysmal aorta based on a parallel two-level method." pp. 336-348.

[10]       J. Tu, S. Qin, and R. Chen, "Parallel numerical simulation of blood flows in patient-specific aortic dissection." pp. 87-91.

[11]        S. Qin, B. Wu, J. Liu, W.-S. Shiu, Z. Yan, R. Chen, and X.-C. Cai, “Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm,” Computers in Biology and Medicine, vol. 136, pp. 104652, 2021.

[12]       S. Qin, R. Chen, B. Wu, W.-S. Shiu, and X.-C. Cai, “Numerical simulation of blood flows in patient-specific abdominal aorta with primary organs,” Biomechanics and Modeling in Mechanobiology, vol. 20, pp. 909-924, 2021.

[13]       Z. Lin, R. Chen, B. Gao, S. Qin, B. Wu, J. Liu, and X. C. Cai, “A highly parallel simulation of patient‐specific hepatic flows,” International Journal for Numerical Methods in Biomedical Engineering, vol. 37, no. 6, pp. e3451, 2021.

[14]       J. Li, G. Tong, R. Duan, and S. Qin, “Tikhonov regularization method of an inverse space-dependent source problem for a time-space fractional diffusion equation,” J. Appl. Anal. Comput, vol. 11, no. 5, pp. 2387-2401, 2021.

[15]       S. Qin, F. Liu, I. W. Turner, Q. Yang, and Q. Yu, “Modelling anomalous diffusion using fractional Bloch–Torrey equations on approximate irregular domains,” Computers & Mathematics with Applications, vol. 75, no. 1, pp. 7-21, 2018.

[16]       S. Qin, F. Liu, and I. W. Turner, “A 2D multi-term time and space fractional Bloch-Torrey model based on bilinear rectangular finite elements,” Communications in Nonlinear Science and Numerical Simulation, vol. 56, pp. 270-286, 2018.

[17]       S. Qin, F. Liu, I. W. Turner, Q. Yu, Q. Yang, and V. Vegh, “Characterization of anomalous relaxation using the time‐fractional Bloch equation and multiple echo T₂^*‐weighted magnetic resonance imaging at 7 T,” Magnetic resonance in medicine, vol. 77, no. 4, pp. 1485-1494, 2017.

[18]       S. Qin, F. Liu, I. Turner, V. Vegh, Q. Yu, and Q. Yang, “Multi-term time-fractional Bloch equations and application in magnetic resonance imaging,” Journal of Computational and Applied Mathematics, vol. 319, pp. 308-319, 2017.

[19]       S. Qin, “Fractional order models: Numerical simulation and application to medical imaging,” Queensland University of Technology, 2017.

[20]       S. Qin, F. Liu, I. W. Turner, Q. Yu, Q. Yang, and V. Vegh, "Anomalous relaxation in the human brain mapped using ultra-high field magnetic resonance imaging and time-fractional Bloch equation."

[21]       S. Qin, and Y. He, “Confined subdiffusion in three dimensions,” Chinese Physics B, vol. 23, no. 11, pp. 110206, 2014.