The Team

Dr Alaa Alahmadi

Alaa Alahmadi is a Lecturer in Computing at Newcastle University – the Interdisciplinary Computing and Complex BioSystems (ICOS) research group. She is passionate about interdisciplinary research crossing the fields of Computer Science, Cognitive Science, and Medicine.

Her research has been recognised with numerous accolades including the MIT Innovators Under 35 Award, the IET Healthcare Technology Awards (Highly Commended), and the Parliamentary and Scientific Committee STEM for Britain Awards (only Computer Science finalist). She also won multiple university awards, including the University of Manchester Outstanding Doctoral Paper in Computer Science (2019), Outstanding Doctoral Thesis in Computer Science (Runner Up, 2022), and UK-SACB Saudi Excellence Doctoral Research Awards in 2019, 2020 and 2021.

Alaa Alahmadi has a special interest in Explainable Artificial Intelligence in Medicine, Cardiac Monitoring for Cardiotoxicity, Proarrhythmia, Pharmacogenetics, and Sudden Arrhythmic Death Syndromes (SADS). She is interested in exploring new approaches to engineering healthcare technologies that use integrative knowledge & modelling for heart monitoring across multiple complex disciplines. 

Prof Caroline Jay

Caroline Jay is a Professor of Computer Science and Head of Research in the School of Engineering at the University of Manchester. She is qualified as both a Psychologist (BA, CPsychol) and Computer Scientist (MSc, PhD), and undertakes research crossing these domains. She is Research Director of the Software Sustainability Institute, and holds a Mercator Fellowship at Humboldt University of Berlin.

Her current healthcare technology research includes the Digital Solutions programme combining large environmental and health datasets and the So.Me project creating a measure of the impact of Social Media on young people’s mental health.

Caroline was named in the Guardian and Women in Engineering Society’s Top 50 Women in Engineering 2022, for her work advancing healthcare technology.

Prof Rick Body

Professor Body is Professor of Emergency Medicine at the University of Manchester, and Honorary Consultant in Emergency Medicine and Group Director of Research and Innovation at Manchester University NHS Foundation Trust. He completed his degree in Emergency Medicine in Manchester, before completing his PhD in 2009. In 2010, he was appointed NIHR Academic Clinical Lecturer at The University of Manchester, and then Consultant in Emergency Medicine at Manchester University NHS Foundation Trust in 2012.

Professor Body co-founded the Emergency Medicine and Intensive Care Research Group (EMERGING). He was NIHR Postdoctoral Research Fellow and Honorary Senior Lecturer in Cardiovascular Medicine at the University of Manchester until taking up his chair in 2017. He currently serves as a member of the Committee for Clinical Applications of Cardiac Biomarkers with the International Federation for Clinical Chemistry.

His research interests include diagnostics, cardiac disease, and the philosophy of emergency medicine. He is an acclaimed international speaker on cardiac diagnostics with >150 publications to his name. 

Dr Lukas Hughes-Noehrer

Lukas is an interdisciplinary HCI researcher in the Department of Computer Science with a focus on healthcare technologies and clinical applications. He is interested in fostering human-computer interaction to investigate the applicability and usability of algorithmic outputs in various settings, addressing trust issues, testing new strategies, and the policies of their future use in a technically informed society.

Lukas further is a group organiser at the Alan Turing Institute, where he co-leads the AI, Arts and Creative Industries Interest Group. He also is the University of Manchester’s School of Engineering Open Research Lead and he holds an Honorary Research position at the Anaesthesia and Critical Care Department & Clinical Data Science Unit at Manchester University NHS Foundation Trust.

Adina Rahim

Adina is a Research Software Engineer in Research IT. She has experience in Alexa skill development, GUI development, RPA, AI, Deep Learning for Computer Vision, Text Mining, and Recommender Systems. Currently, she is supporting SMEs in Greater Manchester, empowering them to utilize AI for business growth. Additionally, as a Python developer, she actively assists researchers in making ECGs explainable with colour, aiming to aid in the early detection of life-threatening heart conditions.