Y. Wang PhD (Ying)

Assistant Professor
EEMCS-EE-BSS
Horst - Zuidhorst
ying.wang@utwente.nl
+31534895633
Business card

About me

I am an Assistant Professor in the Biomedical Signals and Systems (BSS) group at the University of Twente. My research focuses on Hybrid Artificial Intelligence with Physiological Mechanistic Models for daily-life health monitoring. By integrating simplified mechanistic models of interacting organ systems with adaptive AI, I develop monitoring methods that are robust in real-world conditions, interpretable for clinicians, and personalized for individuals. This work addresses fundamental limitations of current digital health technologies, which are often designed for single diseases and rely solely on either black-box AI or physiology-only models. For more information about the work of my team, please check my website: https://www.yingwangresearchlab.com/ and my LinkedIn.

My past and on-going research projects are listed below:

  • MSCA Doctoral Network SMARTTEST (2025– )
  • Development of algorithms for multimodal signal analysis and hybrid modelling in daily-life health monitoring. I lead the research work package, including three PhD projects on monitoring children with heart disease, recovery after hip fracture in older adults, and resilience monitoring in daily life.
  • EU Horizon Stay Healthy (RIA, 2023– )
    Development of daily monitoring algorithms for energy expenditure and stress that drive abnormal eating behaviours, aiming at obesity prevention in real-world settings.
  • Dutch Gravitation Programme Stress-in-Action (2023– )
    Design of multimodal sensing methods—combining active and passive signals—to monitor stress levels in daily life.
  • Dutch ZonMw Open Competition IMPROVE (2023– )
    Investigation of intrinsic capacity and resilience in older adults through digital biomarkers extracted from multimodal physiological signals during activities of daily living.
  • Dutch NWA Osteoarthritis Project (2023– )
    Development of daily-life monitoring algorithms for physical and mental condition in people with osteoarthritis.
  • Cardiovascular monitoring in diabetes (2022–)
    Early detection of heart disease in people with diabetes using multimodal model-based signal processing and dynamic modelling.
  • Up&Go Project (finished in 2023)
    Recovery monitoring of hip-fracture patients through wearable movement sensors during rehabilitation.
  • MoViSign / MoViSupport Projects (finished in 2023)
    Remote monitoring technologies for early detection of adverse events in post-operative patients.
  • Reshape Project 
    Tracking resilience in older adults using digital handgrip strength as a daily-life marker.
  • BrainWave Project — Parkinson’s disease (finished in 2021)
    Daily monitoring of gait disorder symptoms, particularly freezing of gait, using multimodal signals.
  • BrainWave Project — Epilepsy (finished in 2021)
    Daily monitoring of seizures using multimodal wearable sensors and advanced signal analysis.

I have supervised six PhD candidates (three ongoing, with two more starting soon) and over 50 MSc/BSc students in biomedical engineering, technical medicine, electrical engineering, embedded systems, and neuroscience. In addition, I contribute actively to the academic community as a committee member of the Dutch Electrical Engineering Council (EE-NL), enhancing the national visibility and coordination of EE research and education. At the University of Twente, I served on the Educational Quality Committee for Electrical Engineering, advising on programme improvement, and on the EEMCS Ethics Committee, reviewing research protocols involving human participants to ensure compliance with national and international ethical standards.

Expertise

  • Medicine and Dentistry

    • Patient
    • Heart Rate Variability
    • Pulse Rate

  • Nursing and Health Professions

    • Accelerometer
    • Freezing
    • Mobilization
    • Heart Surgery
    • Parkinson Disease

Organisations

My research is to develop and use the techniques of wearable sensing, signal analysis,  and dynamic system modelling to solve practical clinical and technical problems during daily remote vital-sign and movement monitoring. Interesting applications include but not limited to the monitoring of individual's mental health, lifestyle, individuals with cardiovascular disease, diabetes, obesity, Parkinson's disease, and epilepsy. 

Publications

2025

A Physiological-Model-Based Neural Network Framework for Blood Pressure Estimation from Photoplethysmography Signals (2025)In 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE. Zhang, Y., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.1109/EMBC58623.2025.11251595Integrated lithium niobate photonic computing circuit based on efficient and high-speed electro-optic conversion (2025)Nature communications, 16(1). Article 8178. Hu, Y., Song, Y., Zhu, X., Guo, X., Lu, S., Zhang, Q., He, L., Franken, C. A. A., Powell, K., Warner, H., Assumpcao, D., Renaud, D., Wang, Y., Magalhães, L., Rosborough, V., Shams-Ansari, A., Li, X., Cheng, R., Luke, K., … Lončar, M.https://doi.org/10.1038/s41467-025-62635-8Non-Interchangeability between Heart Rate Variability and Pulse Rate Variability During Supine-to-Stand Tests (2025)[Working paper › Preprint]. ArXiv.org. Lin, R., Halfwerk, F., Laverman, G. D., Donker, D. & Wang, Y.https://doi.org/10.48550/arXiv.2502.07535Aging effect on the interchangeability between heart rate variability and pulse rate variability (2025)[Contribution to conference › Abstract] Techmed Researchday 2025. Lin, R., Halfwerk, F. R., Laverman, G. D., Donker, D. W. & Wang, Y.Simulating Skin Sympathetic Nerve Activity: A Mathematical Model (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Lin, R., Halfwerk, F. R., Donker, D. W., Laverman, G. D. & Wang, Y.

2024

A Mathematical Model for Skin Sympathetic Nerve Activity Simulation (2024)[Working paper › Preprint]. ArXiv.org. Lin, R., Halfwerk, F., Donker, D., Laverman, G. D. & Wang, Y.https://doi.org/10.48550/arXiv.2408.05934

2023

Correction to: Dealing with the heterogeneous presentations of freezing of gait: how reliable are the freezing index and heart rate for freezing detection?: (Journal of NeuroEngineering and Rehabilitation, (2023), 20, 1, (53), 10.1186/s12984-023-01175-y) (2023)Journal of neuroengineering and rehabilitation, 20(1). Article 76. Cockx, H., Nonnekes, J., Bloem, B. R., van Wezel, R., Cameron, I. & Wang, Y.https://doi.org/10.1186/s12984-023-01196-7Patterns of physical activity over time in older patients rehabilitating after hip fracture surgery: a preliminary observational study (2023)BMC Geriatrics, 23(1). Article 373. van Dartel, D., Wang, Y., Hegeman, J. H., Vermeer, M., Vollenbroek-Hutten, M. M. R., Broersma, B., Brouwer, K., Folbert, E. C., Gerrits, T., Gommers, S. M., Harperink, A. J. M., Hofstra, P. T., Kemerink op Schiphorst, M. M., Lammerink-Smienk, N. M., Luttje, M. P., Marissen-Heuver, D. K., Mars, P. M. M., Nijhuis-Geerdink, M. A. H., Nijmeijer, W. S., … Woudsma, S.https://doi.org/10.1186/s12877-023-04054-2Prediction of Physical Activity Patterns in Older Patients Rehabilitating After Hip Fracture Surgery: Exploratory Study (2023)JMIR Rehabilitation and Assistive Technologies, 10. Article e45307. van Dartel, D., Wang, Y., Hegeman, J. H. & Vollenbroek-Hutten, M. M. R.https://doi.org/10.2196/45307Vital Signs Estimation Using a 26 GHz Multi-Beam Communication Testbed (2023)[Working paper › Working paper]. ArXiv.org. Valls, M. S., Pollin, S., Wang, Y., Hersyandika, R., Kokkeler, A. & Miao, Y.https://doi.org/10.48550/arXiv.2311.11275

Research profiles

Address

University of Twente

Horst - Zuidhorst (building no. 28)
De Horst 2
7522 LW Enschede
Netherlands

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