Prof SEAN Y S HON
Prof SEAN Y S HON
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Sean Hon is an Associate Professor at Hong Kong Baptist University. He received his DPhil in Mathematics from the University of Oxford, and his research spans numerical analysis and the mathematics of data science.
His current work focuses on developing theoretical frameworks and efficient numerical methods for evolutionary partial differential equations, PDE-constrained optimization, and deep learning. A significant part of his research explores diagonalization-based parallel-in-time preconditioners, known as ParaDiag methods, which aim to improve the scalability and efficiency of time-parallel solvers for evolutionary PDE problems.
He is also interested in the analysis and preconditioning of Toeplitz-related systems, which arise widely in numerical PDEs, approximation theory, compressed sensing, image processing, and mathematical physics. By designing effective preconditioners for structured linear systems, his work contributes to faster and more reliable computational methods across scientific computing and data-driven applications.
Prof Sean Y S Hon, DPhil
Associate Professor & Programme Director for BSc in Mathematics and Statistics Programme
Department of Mathematics
Hong Kong Baptist University
Mailing address:
FSC1211, Hong Kong Baptist University
224 Waterloo Road, Kowloon Tong
Hong Kong SAR
Research interest:
Numerical linear algebra
Numerical analysis
Numerical partial differential equations
Mathematics of data science
Computational finance
Email: seanyshon[at]hkbu.edu.hk
Tel: (852) 3411 7317
Fax: (852) 3411 5811
EDUCATION
EDUCATION
Doctor of Philosophy in Mathematics, University of Oxford, 2018
Master of Philosophy in Mathematics, Hong Kong University of Science and Technology, 2014
Bachelor of Science in Mathematics, Hong Kong University of Science and Technology, 2012
AWARDS AND HONOURS (SELECTED)
AWARDS AND HONOURS (SELECTED)
Research Excellence Paper Award, Hong Kong Baptist University, 2023
Early Career Award, Hong Kong University Grants Committee, 2021
The 7th BGCE Best Student Prize (Finalist), SIAM Conference on Computational Science and Engineering, 2019
University of Oxford Croucher Scholarship, Croucher Foundation and University of Oxford, 2014
EXPERTISE AND SPECIALISATIONS
EXPERTISE AND SPECIALISATIONS
Fast iterative solvers for partial differential equations (PDEs)
Diagonalization-based parallel-in-time (ParaDiag) methods for PDE problems
Numerical fractional PDEs
Fast iterative solvers for optimal control of PDEs
Preconditioning for Toeplitz-related systems
Approximation theory in scientific machine learning
RESEARCH TEAM (Current)
RESEARCH TEAM (Current)
Asim Ilyas (co-supervised with Stefano Serra-Capizzano, 2022 - Now)
(Currently looking for PhD Candidates and Research Assistants/Associates/Post-docs)
RESEARCH TEAM (Past)
RESEARCH TEAM (Past)
PhD supervision:
Congcong Li (co-supervised with Stefano Serra-Capizzano, 2022 - 2026)
Current: TBA
Past: PhD at Hong Kong Baptist University
Jiamei Dong (2021 - 2025)
Current: TBA
Past: PhD at Hong Kong Baptist University
Rosita L. Sormani (co-supervised with Stefano Serra-Capizzano, 2021 - 2025)
Current: Postdoc at University of Cagliari
Past: PhD at University of Insubria
Research Associates:
Yuanyuan Huang (Nov 2023 - Jan 2026)
Current: Research Associate Professor at Huazhong Agricultural University
Past: PhD at University of Macau
Grigorios Tachyridis (Apr 2024 - Sep 2024)
Current: Adjunct Professor at University of Ioannina
Past: PhD at University of Ioannina
Research Assistants:
Po Yin Fung (Jan 2023 - May 2025)
Current: MSc in Applied and Computational Mathematics at Simon Fraser University
Past: BSc in Mathematics at Hong Kong University of Science and Technology
Qunhui Guo (Feb 2023 - Aug 2023)
Current: PhD Candidate in Industrial Engineering at Northeastern University
Past: MSc in Mathematics at National University of Singapore
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