Home | Computational Mechanics Lab

We develop next-generation finite element methods and apply them to problems in biomedical and space engineering — integrating classical, data-driven, and quantum-inspired computing.

Research Themes

Quantum Computing

Quantum algorithms for materials simulation beyond classical limits.

Data-Driven

Graph neural networks and uncertainty quantification for mechanics.

Classical FEM

High-fidelity finite element modelling for advanced engineering.

Application Areas

Mar 2026 New preprint: Graph neural operators for ill-posed problems in wave-structure interaction — Luo, Fourtakas & Harish
Feb 2026 New preprint: Virtual population to re-assess AAA risk using neck geometry — Nandurdikar et al.
Jan 2026 New preprint: Axial length matters: Scaling effects in retinal fundus image analysis — Li et al.
Nov 2025 Paper published in Computational Particle Mechanics: Framework for uncertainty quantification of wave–structure interaction — Luo et al.
Sep 2025 New preprint on carotid haemodynamics: In silico approach to analyse the influence of carotid haemodynamics — Sengupta et al.
May 2025 We are recruiting PhD students and postdocs — see Join Us for details.
Aug 2024 Paper published in Finite Elements in Analysis and Design: Concurrent multiscale modeling of woven fabrics — Junior et al.
Sep 2023 Paper published in Finite Elements in Analysis and Design: Alleviation techniques for volumetric locking — Harish & Matikainen

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University of Manchester

EPSRC

Optegra

INEOS Britannia

European Space Agency

Innovate UK

NHS Manchester Foundation Trust

Port of Dover