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Hi, I am Mai

Ngoc Mai Monica Huynh

Post-doctoral researcher at University of Pavia

I’m a post-doctoral research fellow at the University of Pavia, working on the development of efficient and scalable preconditioners for cardiac electrophysiology at a cellular scale within the European project MICROCARD.

Finite elements
Parallel computing
Nonlinear solvers
Domain decomposition
BDDC, FETI-DP preconditioners
Cardiac electrophysiology

Experiences

Besides my daily desk time, I try to actively promote initiatives among young researchers, aiming to build a fruitful network for the next generation of scientists.

I have organized first-hand two young international workshops, focusing on cardiac modeling as well as more generic industrial applications.

During my doctoral training, I had the opportunity to coordinate PhD informal seminars and to take part in bigger organizations such as the VPHi PhD student committee, organizing and chairing online webinars.

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Post-doctoral researcher
Università di Pavia

Oct 2021 - Present, Pavia, Italy

  • Design, theoretical analysis and numerical testing of efficient solvers and preconditioners for cell-by-cell models in cardiac electrophysiology MICROCARD project
  • Design and numerical testing of nonlinear solvers for cardiac electrophysiology
  • Teaching assistant and tutoring of undergraduate and graduate courses

PhD fellow
Università di Pavia

Oct 2018 - Sept 2021, Pavia, Italy

  • Design, theoretical analysis and numerical testing of BDDC and FETI-DP Newton-Krylov solvers in cardiac electrophysiology
  • Teaching assistant and tutoring of undergraduate and graduate courses
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Education

Research

My current research interests lay between classical Numerical Analysis, computational electrocardiology and High-Performance computing.

The project I’m working on focuses on the development of efficient, scalable and robust preconditioners for cardiac electrophysiology at a cellular level, where the models are obtained by a cell-by-cell coupling. The algebraic systems resulting from discretizations of such models present very high dimensionalities, needing efficient numerical ways for their solution.

I’m also interested in parallel nonlinear solvers, which provide valid and fast alternatives for the solution of nonlinear systems. This interest has arisen by chance during coffee breaks with my amazing collegue Nicolás Barnafi and has grown really quick ever since.

Here you can find a list of my recent works and preprints.

JOURNAL ARTICLES
  1. NMM Huynh, F Chegini, LF Pavarino, M Weiser and S Scacchi, Convergence analysis of BDDC preconditioners for hybrid DG discretizations of the cardiac cell-by-cell model. arXiv, submitted (2022).
  2. NA Barnafi, NMM Huyhn, LF Pavarino and S Scacchi, Analysis and numerical validation of robust parallel nonlinear solvers for implicit time discretizations of the Bidomain equations. arXiv, submitted (2022).
  3. NMM Huynh, Newton-Krylov-BDDC deluxe solvers for non-symmetric fully implicit time discretizations of the Bidomain model. Numerische Mathematik, 152(4), pp. 841-879 (2022).
  4. NMM Huynh, LF Pavarino and S Scacchi, Scalable and robust dual-primal Newton-Krylov deluxe solvers for cardiac electrophysiology with biophysical ionic models. Vietnam J. Math., 50(4), pp. 1029-1052 (2022).
  5. NMM Huynh, LF Pavarino and S Scacchi, Parallel Newton-Krylov-BDDC and FETI-DP deluxe solvers for implicit time discretizations of the cardiac Bidomain equations. SIAM Journal of Scientific Computing, 44(2), pp. B224-B249 (2022).
CONFERENCE PROCEEDINGS
  1. NA Barnafi, NMM Huynh, LF Pavarino and S Scacchi, Parallel nonlinear solvers in computational cardiac electrophysiology. In IFAC-PapersOnLine, 50.20 (2022): 187-192.
  2. NMM Huynh, LF Pavarino and S Scacchi, Dual-primal preconditioners for Newton-Krylov solvers for the cardiac Bidomain model. In Domain Decomposition Methods in Science and Engineering XXVI, pp. 689-696 (2022).
  3. N Huynh, L Pavarino and S Scacchi, Scalable Newton-Krylov-BDDC and FETI-DP deluxe solvers for decoupled cardiac reaction-diffusion models. In 14th WCCM-ECCOMAS Congress 2020, vol. 400 (2021).
PhD THESIS
  1. NMM Huynh, Newton-Krylov Dual-Primal methods for fully implicit time discretizations in cardiac electrophysiology, PhD thesis (2021).

Conferences

Upcoming
  1. TBA. ICIAM 2023. Tokyo, Japan (2023).
  2. Robust preconditioned solvers for cardiac electrical models. M2P 2023. Taormina, Italy (2023).
  3. BDDC preconditioners for hybrid discontinuous galerkin discretizations in cardiac electrophysiology. SIAM CSE23. Amsterdam, Netherlands (2023).
Conference talks
  1. Efficient nonlinear solvers and domain decomposition preconditioners for cardiac reaction-diffusion equations. 5th AfriComp. Cape Town, South Africa (2022).
  2. Efficient and robust parallel solvers for cardiac reaction-diffusion models. WCCM-APCOM YOKOHAMA. Virtual congress (2022).
  3. Parallel nonlinear solvers in computational cardiac electrophysiology. MATHMOD 2022. Vienna, Austria (2022).
  4. Parallel nonlinear solvers for implicit time discretizations in cardiac electrophysiology. MICROCARD Workshop. Bordeaux, France (2022).
  5. Scalable and parallel non-linear solvers for the cardiac Bidomain system. First UMI meeting of PhD students. Padova, Italy (2022).
  6. Alternative parallel nonlinear solvers for cardiac reaction-diffusion models. COLIBRI Focus Workshop. Graz, Austria (2022).
  7. Newton-Krylov-BDDC solvers for implicit discretizations of cardiac reaction-diffusion systems. SIMAI Congress 2020+2021. Parma, Italy (2021).
  8. BDDC and FETI-DP preconditioners for Newton-Krylov solvers for the cardiac Bidomain model. iHeart - Modelling the Cardiac Function. Online event (2021).
  9. Scalable Newton-Krylov solvers for cardiac reaction-diffusion models. 14th WCCM - ECCOMAS Congress 2020. Virtual congress (2021).
  10. Scalable Newton-Krylov dual-primal solvers for cardiac reaction-diffusion models. Domain Decomposition conference XXVI. Hong Kong, China (online event, 2020).
  11. Non-linear scalable solvers for cardiac reaction-diffusion models. iHeart - Modelling the Cardiac Function. Varese, Italy (2019).
  12. Non-linear scalable solvers for cardiac reaction-diffusion models. ICIAM 2019. Valencia, Spain (2019).
Seminar talks
  1. Scalable preconditioners for hybrid discontinuous Galerkin discretizations: an application to cardiac electrophysiology. Very informal seminars. Pavia, Italy (2022).
  2. Cardiac modelling, from micro to macroscales. Mini-course at 1st YAMC Conference. Santa Maria di Leuca, Italy (2021).
  3. An overview of Domain Decomposition methods for cardiac models. Workshop “Women in Maths”. Virtual event. May 12, 2020.
  4. Non-linear Domain Decomposition methods for cardiac models. Spring Workshop in Computational Mathematics, Statistics and Machine Learning. Pavia, Italy (2019).