Professor Victorita Dolean Maini

Mathematics and Statistics

Contact

Personal statement

I work in Computational Science, construct mathematical models and quantitative algorithms, and use computers to solve scientific problems. My main focus is on complex problems that can be modelled mathematically by partial differential equations. I use cutting-edge, high performance computing techniques, including novel symbolic tools, and I perform rigorous analysis to validate the results.

More information on my webpage: http://www.victoritadolean.com

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Publications

Overlapping Schwarz methods with GenEO coarse spaces for indefinite and nonself-adjoint problems
Bootland Niall, Dolean Victorita, Graham Ivan G, Ma Chupeng, Scheichl Robert
IMA Journal of Numerical Analysis Vol 43, pp. 1899-1936 (2023)
https://doi.org/10.1093/imanum/drac036
Scalable computational algorithms for geospatial COVID-19 spread using high performance computing
Sharma Sudhi, Dolean Victorita, Jolivet Pierre, Robinson Brandon, Edwards Jodi D, Kendzerska Tetyana, Sarkar Abhijit
Mathematical Biosciences and Engineering Vol 20, pp. 14634-14674 (2023)
https://doi.org/10.3934/mbe.2023655
Closed form optimized transmission conditions for complex diffusion with many subdomains
Dolean Victorita, Gander Martin J, Kyriakis Alexandros
SIAM Journal on Scientific Computing Vol 45, pp. A829-A848 (2023)
https://doi.org/10.1137/22m1492386
Three-dimensional finite-difference finite-element frequency-domain wave simulation with multi-level optimized additive Schwarz domain-decomposition preconditioner : A tool for FWI of sparse node datasets
Tournier Pierre-Henri, Jolivet Pierre, Dolean Victorita, Aghamiry Hossein S, Operto Stéphane, Riffo Sebastian
Geophysics Vol 87, pp. 1-84 (2022)
https://doi.org/10.1190/geo2021-0702.1
Can DtN and GenEO coarse spaces be sufficiently robust for heterogeneous Helmholtz problems?
Bootland Niall, Dolean Victorita
Mathematical and Computational Applications Vol 27 (2022)
https://doi.org/10.3390/mca27030035
Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19 : a study protocol
Robinson Brandon, Edwards Jodi D, Kendzerska Tetyana, Pettit Chris L, Poirel Dominique, Daly John M, Ammi Mehdi, Khalil Mohammad, Taillon Peter J, Sandhu Rimple, Mills Shirley, Mulpuru Sunita, Walker Thomas, Percival Valerie, Dolean Victorita, Sarkar Abhijit
BMJ open Vol 12 (2022)
https://doi.org/10.1136/bmjopen-2021-052681

More publications

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Professional Activities

Scientific Machine Learning seminar
Organiser
16/5/2023
Scientific Machine Learning Seminar
Organiser
16/5/2023
Women in Data Science and Mathematics Seminar Series
Member of programme committee
26/4/2023
Scientific Machine Learning Seminar
Organiser
6/12/2022
Second Physics-Informed Machine Learning Workshop
Organiser
3/5/2022
Physics-Informed Machine Learning Workshop
Organiser
1/4/2022

More professional activities

Projects

Strathclyde International Strategic Partners (ISPs) Joint PhD Cluster: The numerical analysis of efficient linear solvers for industrial problems
Pestana, Jennifer (Principal Investigator) Dolean Maini, Victorita (Co-investigator) Paterson, Ann (Post Grad Student) Rahimi, Salaheddin (Co-investigator)
PhD Studentship Cluster with TU Delft
01-Jan-2022 - 30-Jan-2025
Maths DTP 2020 University of Strathclyde | Fry, Mark
Dolean Maini, Victorita (Principal Investigator) Langer, Matthias (Co-investigator) Fry, Mark (Research Co-investigator)
01-Jan-2021 - 01-Jan-2024
Physics informed machine learning (ML) for the numerical solution of complex multi-physics problems
Dolean Maini, Victorita (Principal Investigator) Rahimi, Salaheddin (Research Co-investigator) Pestana, Jennifer (Co-investigator) Ritos, Konstantinos (Co-investigator) Kamenický, Robin (Co-investigator) Tant, Katherine Margaret Mary (Co-investigator)
01-Jan-2021 - 30-Jan-2022
Blood flow dynamics in women with pulmonary arterial hypertension: A numerical investigation into the effects of pulmonary vascular resistance based on 4D flow magnetic resonance imaging
Kazakidi, Asimina (Principal Investigator) MacLean, Mandy (Co-investigator) Dolean Maini, Victorita (Co-investigator) Boumpouli, Maria (Co-investigator) Hall Barrientos, Pauline (Co-investigator)
EPSC STEM Equals Pump Priming grant, part of the EPSRC Inclusion Matters grant (EP/S012133/1). Award: £5,000
01-Jan-2020 - 31-Jan-2021
Maths DTP 2020 University of Strathclyde | Ludlam, James
Tant, Katherine Margaret Mary (Principal Investigator) Dolean Maini, Victorita (Co-investigator) Ludlam, James (Research Co-investigator)
01-Jan-2020 - 01-Jan-2024
Fast solvers for frequency domain wave-scattering problems and applications
Dolean Maini, Victorita (Principal Investigator)
01-Jan-2019 - 31-Jan-2022

More projects

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Contact

Professor Victorita Dolean Maini
Mathematics and Statistics

Email: victorita.dolean@strath.ac.uk
Tel: 548 4536