About us

BioMedEng is the UK’s largest gathering of Biomedical Engineers, Medical Engineers and Bioengineers.

The next annual conference will be hosted by Swansea university on Thursday 14 September to Friday 15 September 2023 at the Swansea Arena. You can expect to enjoy plenary sessions, keynote talks, break-out workshops, poster sessions, dedicated early-career research sessions and much more.

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Swansea University

Swansea University is a research-led university that has been making a difference since 1920. Our diverse and welcoming community thrives on exploration and discovery, with a balance of excellent teaching and research, alongside a superb quality of life.

Our commitment to research with real-world benefits has seen us achieve our ambition to be a Top 30 Research University, soaring up the 2014 Research Excellence Framework league table to 26th in the UK from 52nd in 2008.

Swansea University was founded on the principles of innovation and collaboration. By working with us your organisation can access world-leading research & development expertise, talented graduates & students, professional training and skills development, first class facilities & equipment, and a number of other commercial opportunities.

Our stunning waterfront campuses make us a desirable location for students and staff from around the world, and our multicultural community provides a global perspective, enabling those who join us to develop skills and knowledge that set them on successful and enriching careers.

Located along the Swansea Bay in southwest Wales, we are a stone’s throw from the Gower area of outstanding natural beauty.

Biomedical engineering department at Swansea university

The Biomedical Engineering Department at Swansea University encompasses a broad theme that covers a wide range of health-related engineering research. It serves as a link between the research institute and the broader activities within the department. Three main topic areas exist:

Bioanalytics – Data modelling and statistical analysis

Topics include: cytometry, AI & machine learning, human performance analysis, image analysis, and bioinformatics.

Biomaterials – Developing novel therapeutics

Topics include: tissue engineering scaffolds, theranostics, bioreactors, and soft matter.

Biomechanics – Experimental and computational study of biomechanical systems.

Topics include: computational mechanobiology, computational physiology, biomechanical testing, cell micromechanics, cardio-vascular system, and lymphatic system.

Recent projects carried out within the Biomedical Engineering Department include:

• Image-based machine learning for automated identification and classification of genetic mutations in micronucleus assays for genotoxicity screening. This project is a collaboration with GSK, a joint effort aimed at advancing genotoxicity screening methods.
• Advanced interpretation of wearable signals through a modelling-based characterization of a soldier’s cardiovascular physiology. This joint project with the Department of Sports & Exercise Science, funded by DASA, focuses on utilizing modelling techniques to gain deeper insights into wearable signals related to cardiovascular health in soldiers.
• Multi-analyte prognostic and diagnostic screening in blood and skin for Alzheimer’s disease. MRC (UK)-AMED (Japan) grant with Tokyo University of Agriculture and Technology.

Computational Biomedical Engineering Group

The Computational Biomedical Engineering group within the Biomedical Engineering Department at Swansea University. With years of experience, our engineers bring a unique perspective to medicine, enabling us to elevate healthcare to the next level. Our group specializes in the development and application of computational tools to enhance our understanding of human physiology, advance diagnostic techniques, and optimize the design of medical devices.

Our expertise lies in utilizing finite element analysis (FEA) and computational fluid dynamics (CFD) to simulate tissue deformations and flow through biological ducts such as respiratory, arterial, and lymphatic systems. Through these simulations, we can gain a fundamental understanding of mechanical and dynamic behaviour, which can be linked to corresponding biological responses. Our work heavily relies on scan-based modelling, where MRI/CT images serve as the starting point for creating accurate and personalized models. Strong collaborations with clinical and industrial colleagues play a vital role in the success of our research.

Our group actively contributes to the field of Computational Biomedical Engineering through various initiatives and platforms, including:

1. Interdisciplinary Cardiovascular Engineering Research (ICER).
2. International Conference on Computational and Mathematical Biomedical Engineering (CMBE).
3. International Journal for Numerical Methods in Biomedical Engineering (IJNMBE).