Salvador Barranco Cárceles

Salvador Barranco Cárceles

Position

Enrichment Student

Cohort year

2023

Partner Institution

Bio

Salva completed his first degree in Electronics Engineering and Automation at the Universitat Politècnica de València in 2016. After being a professional world wanderer for a year, he enrolled on the MSc in Sensing and Imaging Systems at the University of Glasgow. That time convinced him to start a PhD developing electron sources for the first generation of portable 3D medical imaging devices under the supervision of Prof Ian Underwood at the University of Edinburgh, in collaboration with Adaptix Imaging.

During his PhD, he founded and chaired several student organisations to share knowledge, improve the student experience, and reach out beyond the university community. In 2021, he was awarded a Royal Society of Edinburgh Research Fellowship to pursue independent research in computational physics. He then returned to Edinburgh to finish his PhD in high flux field emission.

Salva is looking forward to fully engaging with the members of the Turing Institute to develop data-centric engineering approaches to overcome the challenges that slow down the commercialisation of portable 3D medical imaging.

 

Research interests

In a world with a fast-growing and rapidly aging population, where availability and accuracy of diagnosis is key to early detection and treatment of disease and injury, the development of enhanced medical imaging techniques will improve the wellbeing of unwell members of society. In collaboration with Adaptix Imaging, I am developing a core component for a portable system for 3D X-ray imaging that will combine the superior clinical diagnosis of 3D with the lower running costs and radiation doses of traditional 2D radiography.

The Alan Turing Enrichment Scheme will augment my PhD programme by allowing me to develop machine learning algorithms to predict the thermal failure of field emitters, a serious reliability issue that is slowing down the commercialisation of 3D X-ray imaging systems. The outcome of this research is new knowledge that contributes towards the development of low dose, low cost and mobile 3D medical imaging devices.