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Prof Payam Barnaghi

Group Leader

Combining engineering and technological innovation to produce a secure 'Healthy Home' system

Biography

An expert in artificial intelligence and big data, Prof Payam Barnaghi is Professor of Machine Intelligence Applied to Medicine in the Department of Brain Sciences at Imperial College London. He was technical lead of the Department of Health/NHS Technology Integrated Health Management (TIHM) for Dementia project. Applying his technical research in machine learning and Internet of Things to healthcare, Payam has won several awards including the HSJ 2018 Award for Improving Care with Technology and an IEEE Outstanding Leadership Award in 2017. At the UK DRI Care Research & Technology centre, Payam leads ground-breaking research into the 'Healthy Home', using technology to maintain independence for people with dementia.

News

Key publications

NPJ digital medicine
Published
Real-world deployment of remote sleep monitoring technologies reveals distinct patterns associated with cognitive decline
Authors
Nan Fletcher-Lloyd, Nathalia Céspedes Gómez, Alexander Capstick, Antigone Fogel, Marirena Bafaloukou, Mahan Heydari, Alexandra Cairns, Chloe Walsh, Jessica True, CR T Group, Behnam Shariati, Ramin Nilforooshan, Payam Barnaghi
Real-world deployment of remote sleep monitoring technologies reveals distinct patterns associated with cognitive decline
Nature communications
Published
Clinically-applicable prediction of hospital stay and patient similarity retrieval in paediatric cardiology using machine learning
Authors
Louise Rigny, Iona Biggart, Kimberley Zakka, Jingteng Li, Alexander Capstick, Sebin Sabu, Pavithra Rajendran, Shankar Sridharan, Sumera Farooq, Andrew Taylor, John Booth, Shiren Patel, Padmanabhan Ramnarayan, Neil Sebire, Cho Ng, Payam Barnaghi
Clinically-applicable prediction of hospital stay and patient similarity retrieval in paediatric cardiology using machine learning

Barnaghi Lab

Explore the work of the Barnaghi Lab, combining engineering and technological innovation to produce a secure 'Healthy Home' system which will provide a test-bed for new approaches to address major care needs and provide personalised healthcare for these individuals