Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Chair in Machine Intelligence Applied to Medicine







Commonwealth BuildingHammersmith Campus





Payam Barnaghi is Chair in Machine Intelligence Applied to Medicine in the Department of Brain Sciences at Imperial College London. He is Deputy Director and Group Lead in the Care Research and Technology Centre at the UK Dementia Research Institute. He is an associate editor of the IEEE Transactions on Big Data and vice-chair of the IEEE SIG on Big Data Intelligent Networking.

His main research goal is to develop AI and machine learning solutions for healthcare and create affordable and scalable digital systems than can be applied across a range of health conditions. He works on machine learning, Internet of Things (IoT), semantic computing, adaptive algorithms and computational neuroscience to solve problems and develop new technologies for future healthcare systems. 

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Selected Publications

Journal Articles

Li H, Barnaghi P, Enshaeifar S, et al., 2020, Continual learning using Bayesian neural networks, Ieee Transactions on Neural Networks and Learning Systems, ISSN:2162-2388, Pages:1-10

Fathy Y, Barnaghi P, 2019, Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks, Ieee Internet of Things Journal, Vol:6, ISSN:2327-4662, Pages:10318-10331

Fathy Y, Barnaghi P, Tafazolli R, 2019, An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data, IEEE Systems Journal, Vol:13, ISSN:1932-8184, Pages:2688-2699

Kolozali S, Bermudez-Edo M, FarajiDavar N, et al., 2019, Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams, Ieee Internet of Things Journal, Vol:6, ISSN:2327-4662, Pages:2651-2668

Papachristou N, Barnaghi P, Cooper B, et al., 2019, Network analysis of the multidimensional symptom experience of oncology, Scientific Reports, Vol:9, ISSN:2045-2322, Pages:1-11

Enshaeifar S, Zoha A, Skillman S, et al., 2019, Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia, PLOS One, Vol:14, ISSN:1932-6203

van den Brink L, Barnaghi P, Tandy J, et al., 2019, Best practices for publishing, retrieving, and using spatial data on the web, Semantic Web, Vol:10, ISSN:1570-0844, Pages:95-114

Papachristou N, Puschmann D, Barnaghi P, et al., 2018, Learning from data to predict future symptoms of oncology patients, PLOS One, Vol:13, ISSN:1932-6203, Pages:1-17

Gonzalez-Vidal A, Barnaghi P, Skarmeta AF, 2018, BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation, IEEE Transactions on Knowledge and Data Engineering, Vol:30, ISSN:1041-4347, Pages:2051-2064

Puschmann D, Barnaghi P, Tafazolli R, 2018, Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams, IEEE Systems Journal, Vol:12, ISSN:1932-8184, Pages:1755-1766

Fathy Y, Barnaghi P, Tafazolli R, 2018, Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT), ACM Computing Surveys, Vol:51, ISSN:0360-0300

Hoseinitabatabaei SA, Fathy Y, Barnaghi P, et al., 2018, A Novel Indexing Method for Scalable IoT Source Lookup, Ieee Internet of Things Journal, Vol:5, ISSN:2327-4662, Pages:2037-2054

Enshaeifar S, Zoha A, Markides A, et al., 2018, Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques, PLOS One, Vol:13, ISSN:1932-6203, Pages:1-20

Papachristou N, Barnaghi P, Cooper BA, et al., 2018, Congruence Between Latent Class and K-Modes Analyses in the Identification of Oncology Patients With Distinct Symptom Experiences, Journal of Pain and Symptom Management, Vol:55, ISSN:0885-3924, Pages:318-+

Enshaeifar S, Barnaghi P, Skillman S, et al., 2018, The Internet of Things for Dementia Care, IEEE Internet Computing, Vol:22, ISSN:1089-7801, Pages:8-17


Enshaeifar S, Barnaghi P, Skillman S, et al., 2020, A Digital Platform for Remote Healthcare Monitoring, Pages:203-206

Zhao Y, Haddadi H, Skillman S, et al., 2020, Privacy-preserving Activity and Health Monitoring on Databox, 3rd ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys), ASSOC COMPUTING MACHINERY, Pages:49-54

Nilforooshan R, Rostill H, Barnaghi P, et al., 2019, Transforming care for people with dementia using the Internet of Things, UBIQUITY PRESS LTD, ISSN:1568-4156

Elsaleh T, Bermudez-Edo M, Enshaeifar S, et al., 2019, IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams, 3rd Global IoT Summit (GIoTS), IEEE

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