Catalogue of Possibilities / MPAs
Technology Touching Life
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Our Technology Touching Life theme is at the forefront of a transformative field at the intersection of cutting-edge technology and biomedical applications. This exciting journey of discovery takes place in state-of-the-art facilities, utilizes extensive medical datasets, and thrives on collaborations with leading experts in computer science, engineering and life sciences.
The Computing Technologies for Healthcare at the School of Computing Science brings together research groups and communities with expertise in a range of topics that include Computational Biology, Artificial Intelligence for Biomedical and Imaging Applications, Cancer Image Analysis and Affective Computing.
The University of Glasgow currently has the largest EPSRC Healthcare Technologies grant portfolio in the UK and it provides one of the best research environments to undertake research on sensing, imaging and Artificial Intelligence for biomedical applications. The Communication, Sensing and Imaging Group pioneers innovative wireless technologies that enable activity recognition and vital signs monitoring. The Imaging Centre of Excellence offers state-of-the-art 7T MRI scans, which provide exceptionally high-resolution images of the human body, making them truly special in the field of medical imaging. The centre brings together academics, clinicians and industry experts.
Imagine a future where advanced algorithms and sensors enhance rehabilitation, revolutionize sports medicine, enable early diagnosis and effective prevention of diseases. Our technologies push the boundaries in technologies for healthcare. From developing AI-driven clinical decision support systems that augment medical expertise to creating cutting-edge medical imaging technologies that unveil new dimensions of diagnostic precision, our multidisciplinary approach is reshaping the healthcare landscape. We’re not just improving existing processes; we’re inventing new methods and strategies that will redefine medical science and patient care.
As we harness the power of artificial intelligence in healthcare, we remain committed to addressing critical ethical considerations. Our focus on the ethics of AI ensures responsible and equitable technological advancement, safeguarding patient privacy and promoting fair access to these groundbreaking innovations.
Join us in shaping the future of healthcare technology, where every breakthrough brings us closer to a world where technology truly touches and improves life.
Supervisors working in this field
Professor Alasdair W Clark
Professor of Nanoscale Engineering
Professor Andrew Jamieson
Professor of Chemical Biology
Professor Andrew Sutherland
Professor
Dr Ankush Aggarwal
Senior Lecturer
Dr Anthony Centeno
Lecturer
Dr Bernhard Schmidt
Lecturer
Dr Caroline Muellenbroich
Senior Lecturer
Professor Daniele Faccio
Professor in Quantum Technologies
Dr Andrew (Drew) Thomson
Lecturer in Chemical Biology
Dr Eky Febrianto
Lecturer in Computational Mechanics
Professor Emily Draper
Professor of Soft Materials
Dr Fani Deligianni
Senior Lecturer
Dr Helen Mulvana
Reader in Biomedical Engineering
Dr Jake Lever
Lecturer
Dr Ji-Eun Byun
Lecturer in Smart Resilient and Sustainable Infrastructure
Dr Joëlle Prunet
Senior Lecturer
Dr Julien Le Kernec
Senior Lecturer
Dr Lianping Hou
Reader
Dr Mahmoud Wagih
Lecturer and UK IC Research Fellow
Dr Matthew Barr
Senior Lecturer & Head of Education and Practice
Dr Morteza Amjadi Kolour
Senior Lecturer of Biomedical Engineering
Professor Muhammad Ali Imran
Dean of Graduate Studies and Transnational Education
Dr Ornela Dardha
Senior Lecturer
Dr Prashant Saxena
Senior Lecturer in Solid Mechanics
Professor Qammer H Abbasi
Professor of Applied Electromagnetics & Sensing
Dr Richard Bowman
Reader
Professor Ross Forgan
Professor of Supramolecular and Materials Chemistry
Dr Sean McGinty
Reader
Dr Xianghua (Sharon) Ding
Senior Lecturer
Professor Stephen Sweeney
Professor of Photonics and Nanotechnology
Professor Vihar Petkov Georgiev
Professor of Nanoelectronics
Dr William Peveler
Lecturer
Dr Zaiqiao Meng
Lecturer