Prof Radostin Simitev he/him

Photo of Prof Radostin Simitev
Mathematical modelling and numerical simulations

Professor of Applied Mathematics

School of Mathematics and Statistics
Research interests:
Cardiac electrophysiology, Solar and planetary magnetism, Biofluids
Research fields:
Applied mathematics, Fluid mechanics, Magnetohydrodynamics, Mathematical physiology, Cardiac electrophysiology modelling
Why do you want to join the DiveIn community?
For the challenge of working on interdisciplinary, mission-driven problems, collaborating with colleagues and students and the knowledge and excitement that this brings.
Personal profile:

My main research interest is mathematical modelling. I enjoy developing models of natural systems and using analytical and numerical methods to understand their behaviour. I find it particularly rewarding when a mathematical model not only captures key features of a system but also makes predictions that can be tested and applied in new contexts.

My group works on a range of problems at the interface of mathematics and the natural sciences. In mathematical physiology, we use nonlinear analysis, singular perturbation methods and asymptotic techniques to study the dynamics of electrical waves in cardiac tissue and other excitable media. These studies are motivated by the need to understand and control cardiac disease. In fluid dynamics and magnetohydrodynamics, we investigate convection in rotating systems and the self‑sustained generation of magnetic fields. These studies are motivated by applications in geophysics, planetary science and astrophysics.

I am open to collaborations across disciplines. My background in applied mathematics, numerical methods, scientific computing and physics allows me to contribute to a variety of projects and to work effectively with researchers from other fields.

I am keen to supervise interdisciplinary projects that lead to the development of conceptual mathematical models. I value approaches that capture general behaviours of natural systems, reveal rich mathematical structures and can be adapted to different applications.

As a supervisor, I aim to be approachable and straightforward, while setting high standards for clarity and rigour. Several of my PhD students have completed their studies and now work in industry, consultancy, and university positions in the UK and abroad.

I am committed to equity, diversity and inclusion. Half of my PhD students have been female, and about three quarters are international, representing a wide range of backgrounds, experiences and languages.

Outside research, I like to celebrate milestones with my group — maybe with a trip to the Highlands.

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