At Computational Mechanics Lab, we develop next-generation computational mechanics that makes shape a first-class design variable. Using finite element methods (FEM) as our core engine, we study how geometry, material behaviour, and loading environments jointly determine performance - how form arises, adapts, and persists under force, and how purposeful form can be engineered for resilience and function.
Our research spans solid and structural mechanics and fluid–structure interaction, with applications in space structures, cardiovascular biomechanics, and ophthalmology. We bridge rigorous continuum modelling with quantum-inspired workflows, alongside high-performance and data-driven computation, to accelerate simulation, enable scalable optimisation and uncertainty quantification, and open new routes to inverse problems and digital twins. The unifying goal is to uncover the governing principles by which mechanics shapes function, and to translate those principles into predictive models and form-aware designs across engineered and biological systems.
Founded at the University of Manchester, Harish Lab has pioneered research in developing of computational methods using classical and novel computing methods for applications in solid & structural mechanics and fluid-structure interaction problem.
Quantum Computing
We are exploring quantum algorithms to surpass classical computing limits in simulating quantum-scale interaction in materials to understanding chaotic fluid dynamics.
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Data-driven Computing
We develop data-driven methods, particularly graph neural networks and uncertainty quantification to investigate applications of mechanics in biomedical engineering.
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Classical Computing
We developed numerical models using finite element method to study problems related to design of advanced materials, fluid-structure interaction, and biomedical engineering.
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We provide students and researchers with unique opportunities to engage in cutting-edge research, develop critical skills and contribute to advancements in application of computer methods in engineering.
Undergraduate research
Join us to explore hands-on research projects in fundamental concepts and gain invaluable research experience and insights.
Post-graduate research
Our doctoral projects are curiosity-driven aiming to address fundamental issues with strong industry-implications.
Postdoctoral fellowships
We are happy to support your applications for postdoc fellowships to enable you to develop an independent research career.
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