About me

Zhiqiang Huo (霍志强) received the B.Sc. degree and M.Sc. degree from the School of Information Engineering, University of Geosciences (Beijing), China in 2013 and 2016, respectively. He received his Ph.D. degree from the University of Lincoln, UK, in 2020. He was a Research Associate at the University College London (UCL), UK until Aug. 2022. He now is a Research Associate with King's College London (KCL) on the NIHR-funded programme - “Improving the lives of stroke survivors with data” at the Department of Population Health Sciences. The Stroke Research Team aims to design and develop a patient-centred data portal and research dashboard for all stakeholders (such as patients, caregivers, clinicians, health economists, and policymakers), then apply data mining and AI to refine the clinical decision-making associated with stroke patient monitoring, care and prediction using a data-driven solution.

His research interests include data-driven smart system design, data mining, machine learning, artificial intelligence, and time-series analysis. He is keen on applying data-driven solutions to solve real-world problems in both healthcare and engineering areas. He has published over 40 publications in peer-reviewed IEEE leading journals and conferences. He has over 1100 citations (Google Scholar)

Publications - Journals

Publications - Conferences

Guest Teaching Seminars


The theme of this Hackathon is ‘Building High-Value Health Systems: Harnessing Digital Health and Artificial Intelligence’ centered on three tracks: 1 Cardiovascular Diseases and Diabetes, Cancer, and Mental Health. The vision of this scheme is to empower innovators to develop innovative solutions that improve the global health systems.

The KURFprogram offers undergraduate students the chance to collaborate with leading academics on interdisciplinary research projects during the summer, providing formal recognition through the King’s Experience Research Award while fostering skills development and career exploration.

Invited Talks