
Biography
I am a Visting Lecturer at Department of Population Health Sciences (PHS), within School of Life Course & Population Sciences (SLCPS) at King’s College London, London, UK. I am also a Lecturer in Health Data Science at Queen Mary University of London’s Population Precision Health at Centre for Primary Care.
I co-lead research focused on developing novel AI-supported early warning tools to enhance clinical decision-making in healthcare/GP practices and co-produce digital self-management platforms that empower stroke survivors to actively monitor their health and reduce the risk of secondary events. To support this, I closely work in a multidisciplinary team - including clinicians, digital health teams, and health system leaders - to ensure that our research delivers real-world impact.
I obtained MSc and BSc degrees in Computer Science and Technology from China University of Geosciences, Beijing, China. I earned PhD in AI-driven industrial machinery health condition monitoring from the University of Lincoln (2016–2020). After completing PhD, I worked as a Research Fellow at the Institute of Health Informatics, University College London, UK (2020–2022) and later as a Research Associate at the Department of Population Health Sciences, King’s College London, UK (2022–2025).
I have published over 50 papers in leading peer-reviewed international journals and conferences, including npj Digital Medicine (nature portfolio), Intensive Care Medicine – Paediatric and Neonatal, IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, IEEE/ASME Transactions on Mechatronics, and IEEE Industrial Electronics Magazine. More can be found from Google Scholar.
Outside of work, I am an active member of the British Academy Early Career Researcher Network and the IEEE Industrial Electronics Society’s Technical Committee on Cloud and Wireless Systems for Industrial Applications. I have also contributed to the academic community by serving on guesting editors for international journals and programme committees of over eight international conferences.
Find more information about Zhiqiang Huo from personal website.
Research

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.

Distributed Artificial Intelligence
Understanding AI in social and economic contexts where an intelligent entity may be interacting with other entities
Events

Leveraging the potential of advanced machine learning techniques to support clinical decision-making
Seminar with Zhiqiang Huo
Please note: this event has passed.
Research

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.

Distributed Artificial Intelligence
Understanding AI in social and economic contexts where an intelligent entity may be interacting with other entities
Events

Leveraging the potential of advanced machine learning techniques to support clinical decision-making
Seminar with Zhiqiang Huo
Please note: this event has passed.