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Zhiqiang Huo

Dr Zhiqiang Huo

Research Associate

Contact details

Biography

Zhiqiang Huo 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 Senior 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. This project aims to apply advanced data mining and AI to refine the clinical decision-making associated with stroke patient monitoring, care and outcome prediction using a data-driven solution.

His research interests include time-series complexity analysis, data mining, machine learning, and artificial intelligence. He has published over 30 publications in peer-reviewed IEEE leading journals and conferences, such as IEEE Transactions on Instrumentation and Measurement, IEEE Network, and IEEE ACCESS. He has over 600 citations in Google Scholar.

Research

Stroke Research Group thumbnail 780×440
Stroke Research Group

We are a multidisciplinary group (epidemiologists, stroke physicians, GPs, social scientists, statisticians, health informaticians and health economists) focused on stroke and with a wider interest in vascular long-term conditions and analytics.

Biomedical Informatics
Digital Health

Digital Health Research Group is a multidisciplinary group of informaticians, clinicians, psychologists and computer scientists, researching the role of data and knowledge in medical research and practice.

Events

05Octmachine learning clinical care for children 780x450

Leveraging the potential of advanced machine learning techniques to support clinical decision-making

Seminar with Zhiqiang Huo

Please note: this event has passed.

Research

Stroke Research Group thumbnail 780×440
Stroke Research Group

We are a multidisciplinary group (epidemiologists, stroke physicians, GPs, social scientists, statisticians, health informaticians and health economists) focused on stroke and with a wider interest in vascular long-term conditions and analytics.

Biomedical Informatics
Digital Health

Digital Health Research Group is a multidisciplinary group of informaticians, clinicians, psychologists and computer scientists, researching the role of data and knowledge in medical research and practice.

Events

05Octmachine learning clinical care for children 780x450

Leveraging the potential of advanced machine learning techniques to support clinical decision-making

Seminar with Zhiqiang Huo

Please note: this event has passed.