Rate My Professor Payam Barnaghi

Professor Payam Barnaghi holds the position of Chair in Machine Intelligence Applied to Medicine in the Department of Brain Sciences within the Faculty of Medicine at Imperial College London. He is also Deputy Director and Group Lead of the Care Research and Technology Centre at the UK Dementia Research Institute. Prior to his current role, he served as an Assistant Professor in the Department of Electronic Engineering at the University of Surrey. Barnaghi is a Fellow of the Higher Education Academy. His academic interests lie in artificial intelligence and machine learning applications to healthcare, focusing on the development of affordable and scalable digital systems. Specific research areas include AI and IoT-enabled solutions for personalised dementia care, machine learning and causal networks for symptom experience models in cancer care, unobtrusive monitoring of patients in hospital wards and at home, time-series data processing and pattern analysis, as well as continual learning and semi-supervised learning models.

Barnaghi has received major awards and honors, including the Great Ormond Street Hospital / Royal Academy of Engineering Research Chair in Machine Intelligence (2024), Mental Health Ideathon Award from the Wellcome Trust (2023, team award), Mentorship Award from the Department of Brain Sciences at Imperial College London (June 2023), HSJ 2018 Award for Improving Care with Technology for the Technology Integrated Health Management for Dementia project, Regional NHS Parliamentary Award for the NHS 70th Anniversary (2018, TIHM project), Best Mental Health Initiative Award at EHI 2017 Awards (TIHM project), IEEE Outstanding Leadership Award (2017), and EPSRC Developing Leaders Recess Award (2012). His research has over 12,300 citations on Google Scholar. Key publications include "Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care" (Computers in Biology and Medicine, 2024), "The RESILIENT Dataset: Multimodal Monitoring of Ageing-Related Conditions" (Scientific Data, 2025), "An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia" (eClinicalMedicine, 2025), and "Rational Research model for ranking semantic entities" (Information Sciences, 2011). He serves as Associate Editor of IEEE Transactions on Big Data and Vice-Chair of the IEEE Special Interest Group on Big Data Intelligent Networking. Barnaghi has delivered public lectures, such as on machine learning for health in Zimbabwe (2025 and 2026).