Professional summary
I am developing advanced mathematical models and numerical methodologies for biomedical and cardiovascular applications.
• Possessing interdisciplinary expertise and professional experience in the domains of mathematical modeling and scientific computing;
• Ability to work on multiple demanding projects and commitment to shared objectives;
• Possessing excellent interpersonal and communication skills within international and multidisciplinary work environments;
• Demonstrating excellent teaching skills.
WHAT I DO
Main research interests:
My research mainly focuses on the mathematical modeling, development of efficient numerical methods and algorithms, and simulations of complex physical and bio-engineering problems at several spatiotemporal scales.

Mathematics & computer science
- Partial Differential Equations
- Computational Fluid Dynamics
- Shape optimization
- Nonlinear elasticity and active solid mechanics
- PDEs-constrained optimization methods
- Inverse problems
- Multiphysics modeling
- Numerical analysis of PDEs
- Scientific Computing
- Parallel Algorithms

Methodologies
- Mixed Finite Element Method
- Fluid-Structure Interaction
- Level set method
- Eulerian methods
- Boundary Integral Method
- Anisotropic mesh adaptation

Applications
- Cerebro-cardiovascular phenomena
- Hemodynamics
- Healthy and pathological heart valves
- Minimally invasive treatment plans
- Red blood cells
- Vesicles and biomembranes
- Complex flows: Viscoelastic / Viscoplastic / Elasto-viscoplastic
- Yeast cells
Research Statement
LIST OF PUBLICATIONS
Research output
ARTICLE 27
M. Abdelbagi; A. Laadhari. Cubic-Convergent Newton-Type Methods for Nonlinear Differential Equations: Applications to Navier–Stokes via Finite Elements. Journal of Physics: Conference Series. IOP Publishing. Accepted. 1-12 (2025). DOI 10.100/… We[…]
Read moreARTICLE 26
A. Laadhari; H. Temimi; Efficient finite element strategy using enhanced high-order and second-derivative-free variants of Newton’s method. Applied Mathematics and Computation, Elsevier. Volume 486, 129058 (2025). DOI https://doi.org/10.1016/j.amc.2024.129058 In this[…]
Read more




