Our Vision 

Our project vision will impact the future of the healthcare sector by creating frugal technologies that have the potential to improve the prevention, prediction, diagnosis and/or treatment of a range of noncommunicable diseases (NCDs). The technology has the ability to assess the physical health of an individual and to measure proxies for mental and social health or happiness/wellness. It will transform rehabilitation strategies and fitness monitoring, either at home or in community settings. If fully realized, the technology may also have broad applicability within hospital environments. In all of these cases, this research program has the potential to inclusively mitigate the increasing health, social care and wellness costs of an aging population, as we approach 2050 and beyond.

Academic Team

Prof Jonathan Cooper

Project Director, University of Glasgow

Jonathan holds The Wolfson Chair in Biomedical Engineering at the University of Glasgow. His major research interests are in imaging, ultrasonics and medical diagnostics, which have led to Invited Plenary talks at Photonics West (2012), IEEE MEMS (2017) microTAS (2018) and IEEE Ultrasonics (2019). He has spun out a number of start-up companies, including SAW-dx, Mode-dx, Clyde Biosciences and Acu-Flow. He was elected as a Fellow of the Royal Academy of Engineering as well as a Fellow of the Royal Society of Edinburgh. 

Dr Rebecca Killick

Lancaster University

Rebecca is an Associate Professor in the Department of Mathematics & Statistics at Lancaster University.  She is a world recognised expert in analysing time series data for abrupt or gradual changes through the use of changepoints. She developed the PELT algorithm, an exact yet computationally efficient O(n) approach to detecting multiple changepoints in univariate time series and which is now used by over 200 organisations. Killick’s contributions to time-series methodology and analysis, including in the context of digital healthcare, and her proven ability to implement industrial-strength analysis software makes her uniquely suited for this project. 

Prof Muhammad Imran

University of Glasgow

Muhammad is a Professor of Communication Systems leading the Communications Sensing and Imaging research group at the University of Glasgow. He has been PI/Co-I on £10m+ research portfolio in the area of wireless communication systems and was awarded IEEE Comsoc’s Fred Ellersick award in 2014. He has 400+ publications, 30+ invited and keynote talks, and 30+ graduated Ph.D. students.  He is an Associate Editor of IEEE Transactions on Communications and IEEE Access. He has invented innovative techniques for energy-efficient and self-organised wireless communication devices with recent work on using RF and wireless signals for activity monitoring.

Prof Daniele Faccio

University of Glasgow

Daniele is a Royal Academy Chair in Emerging Technologies and Fellow of the Royal Society of Edinburgh. He joined the University of Glasgow in 2017 as Professor in Quantum Technologies and is adjunct professor at the University of Arizona, Tucson (USA). He was awarded an ERC fellowship in 2012, the Philip Leverhulme Prize in Physics in 2015, the Royal Society of Edinburgh Senior Public Engagement medal and the Royal Society Wolfson Merit Award in 2017. His research focuses on the use of quantum technologies in novel optical imaging modalities, e.g. cameras that can see around corners, next generation remote-sensing LIDAR, fluorescence lifetime and novel deep-tissue functional imaging.

Dr Aleksandra Vuckovic

University of Glasgow

Aleksandra is a Senior Lecturer in Rehabilitation Engineering, specialising in neuro-engineering and neurorehabilitation with over 10 years of experience in clinical trials including usability studies. She has 9 graduated PhD students and is an associate editor in IEEE TNRE and Brain Computer Interfaces as well as a founding member of the International Brain-Computer Interface Society. She was awarded a RAE/Leverhulme Senior Research Fellowship to develop and test Brain computer interface therapies for home use.  As a specialist in clinical brain-computer interface for motor and sensory (chronic pain) deficits and medical software design, she will lead the clinical validation of new technologies.

Prof Frances Mair

University of Glasgow

Frances Mair is the Norie Miller Professor of General Practice (GP) and Head of GP and Primary Care at the University of Glasgow. She sits on the MRC Clinical Research Training Fellowship Panel; has >180 papers (h-index 56), led the evaluation of the £37m DALLAS digital health programme, and is Co-I on the £3.6m SELFBACK H2020 project.  Her focus is chronic illness and multimorbidity with an emphasis on digital health technologies.  Her mixed methods research considers the wider socioeconomic environment and social context, bridging research and clinical practice.  She leads the West Node of the National Research Scotland Primary Care Research Network and has successfully recruited >12K participants into trials. 

Dr Katie Gallacher

University of Glasgow

Katie is a Senior Clinical Research Fellow at the University of Glasgow, funded under The Stroke Association’s Esteemed Lectureship Programme. Her PhD was funded by a competitive CSO Fellowship. She has a track record involving collaborating with international colleagues e.g. at the Mayo Clinic Rochester. She sits on the National Advisory Committee for Stroke and the UK Stroke Forum Steering Committee.  Dr Gallacher works as GP partner 50% of her time and therefore has good insight into how research translates into clinical settings. She uses mixed methods research to conduct research focussed at improving the lives of older people and those with long-term conditions.  She will also contribute to the understanding of ethics in patient monitoring.

Prof Emma McIntosh

University of Glasgow

Emma is a Professor of Health Economics at the University of Glasgow. Emma is currently director of the £2M Global Health Group addressing the economic impacts of Arthritis in Tanzania and co-I on the £3M MRC SNAP Antimicrobial resistance project. She has worked with Cooper on EPSRC EP/K027611 on assessing the impact of novel diagnostics.  Emma has worked on a large number of methodological and applied health economics projects covering diverse disease areas and specialties and brings expertise in health economic methodology in assessing the impact of clinical interventions.

Dr Terence J Quinn

University of Glasgow

Terence holds the post of Senior Clinical Lecturer and Honorary Consultant Physician at the University of Glasgow.  He has published >100 research papers including (e.g. in BMJ, JAMA and NEJM).  He is coordinating editor of the Cochrane Dementia Group; chairs the Stroke Psychology SIG of the World Federation of Neurorehabilitation and is founder of the Scottish Care-Home Research Group. As Consultant in Geriatric Medicine, Terry brings clinical expertise and access to patients through his own practice and through his extensive network of collaborators.  As Vice-Chair of Ethics for the University’s medical college he also brings experience in assessing ethics and communicating biomedical ethics to a broad audience.

Prof Roderick Murray-Smith

University of Glasgow

Roderick is a Professor in the School of Computing Science in Glasgow, where he heads the Inference, Dynamics and Interaction research group. He is PI of the £3M EPSRC grant “Closed-loop Data Science for Complex, Computationally-, and Data-Intensive Analytics” (EP/R018634/1). He has a track record of publication in top scientific venues and of achieving practical transfer to commercial products with companies such as Bang & Olufsen, Nokia, Microsoft, Samsung and Moodagent. His research brings together modern inference and machine learning techniques, dynamic systems, control theory, closed-loop data science and sensor-based interaction design, integrating novel sensors enhanced with machine learning to support of everyday living.

Prof Lars Muckli

University of Glasgow

Lars is Professor of Visual and Cognitive Neurosciences, and Director of fMRI at the Centre for Cognitive Neuroimaging (CCNI) and scientific co-chair of 7T MRI Imaging Center of Excellence (ICE) both at the University of Glasgow. The ICE has been a priority project with £32M of investment. He has worked for more than 20 years in the field of fMRI and multi-modal brain imaging. His lab was previously funded by an ERC consolidator grant on brain reading (€1.5M), and a BBSRC grant, and is currently funded by the Human Brain Project (HBP, ~€1.5M). He is currently collaborator on two MRC grants (7T-UK, brain imaging in schizophrenia) His research is on multimodal brain imaging investigating the predictive brain. He published >60 research papers.

Are you ready to join our team?

We are looking for talented Bioengineering, ASIC design, Electronics, 5G Wireless networks, and Sensor researchers


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