Dr Shaoxiong Sun
School of Computer Science
Lecturer in Pervasive Data Science
Communications and Marketing Coordinator
Shaoxiong.Sun@sheffield.ac.uk
Regent Court (CS)
Full contact details
Dr Shaoxiong Sun
School of Computer Science
Regent Court (CS)
211 Portobello
Sheffield
S1 4DP
School of Computer Science
Regent Court (CS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Dr. Shaoxiong Sun is a Lecturer in Pervasive Data Science within the School of Computer Science at the ±¬ÁÏTV. Previously, he worked as a Senior Research Associate in Data Science for Mobile Health at King’s College London. He earned his PhD through a joint programme between Eindhoven University of Technology (TU/e) and Philips Research in the Netherlands, where his research focused on physiological monitoring. He earned his BEng and MEng in Electrical Engineering from Harbin Institute of Technology and Dalian University of Technology, China, respectively.
Dr. Sun has authored over 30 peer-reviewed publications and holds two granted patents in the United States and Europe. He has served on the Technical Program Committees of IEEE CHASE and IEEE BSN, the Notes and Briefs track of Ubicomp/ISWC, and is a founding member of the IEEE Internet of Wearable Things Working Group. He also serves on the Editorial Board of BMC Global and Public Health and has been a Guest Editor for Frontiers in Signal Processing, Frontiers in Digital Health, Sensors, and Algorithms.
Dr. Sun's research interests primarily revolve around physiological and behavioural monitoring, leveraging advanced signal processing and machine learning methodologies. In the realm of physiological monitoring, he focuses on estimating vital parameters such as blood pressure, heart rate, and respiration rate through the analysis of biomedical signals, such as photoplethysmography (PPG). In behavioural monitoring, his work centres on assessing mobility and social interaction patterns using wearable devices and smartphones. Dr. Sun has developed innovative technologies aimed at assisting individuals with a range of medical conditions, including depression, multiple sclerosis, epilepsy, ADHD, and COVID-19.
- Research interests
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- Health data science
- Bedside and remote patient monitoring
- Wearable computing
- Cardiovascular monitoring
- Publications
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Journal articles
- . npj Mental Health Research, 4.
- . The Lancet Digital Health, 6(9), e640-e650.
- . Journal of Medical Internet Research, 26(1).
- . Acta Paediatrica, 113(6), 1236-1245.
- . J Med Internet Res, 25, e45233.
- . Journal of Attention Disorders, 27(9), 1040-1050.
- . NPJ Digit Med, 6(1), 25.
- . JMIR Ment Health, 10, e42866.
- . Biomedical Signal Processing and Control, 79, 104040-104040.
- . Computer Methods and Programs in Biomedicine, 227, 107204-107204.
- . Biomedicines, 10(10).
- . JMIR Mhealth Uhealth, 10(10), e40667.
- . JMIR Ment Health, 9(3), e34898.
- . JMIR Mhealth Uhealth, 10(1), e28095.
- . Pattern Recognition, 123, 108403-108403.
- . BMC Psychiatry, 21(1).
- . JMIR Mhealth Uhealth, 9(7), e29840.
- . NPJ Digit Med, 4(1), 81.
- . JMIR Mhealth Uhealth, 9(4), e24604.
- . J Med Internet Res, 22(9), e19992.
- . Journal of Clinical Monitoring and Computing, 33(1), 65-75.
- . Physiological Measurement, 38(12), 2101-2121.
- . Physiological Measurement, 37(12), 2154-2169.
Conference proceedings
- . Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp 1735-1743)
- Research group
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