Citadel

Y. Wang PhD (Ying)

Assistant Professor
EEMCS-EE-BSS
Citadel H422
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

  • Neuroscience

    • Freezing Of Gait
    • Electroencephalography
    • Nerve Conduction
    • Sympathetic Nerve
    • Valsalva Maneuver
    • Parkinson's Disease

  • Nursing and Health Professions

    • Accelerometer
    • Surgical Ward

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

2026

Solidification performance of metal-foam-enhanced phase change composites in thermal energy storage systems for underground mines (2026)Journal of Energy Storage, 161. Article 121947. Chen, C., Liu, L., Diao, Y., Wang, Y., Huan, C., Wang, M., Chang, Y. & Zhu, T.https://doi.org/10.1016/j.est.2026.121947Sensor-Based Monitoring of Knee Osteoarthritis Symptoms in Free-Living Settings: A Scoping Review (2026)[Working paper › Preprint]. JMIR Publications. Cui, B., van Beijnum, B.-J., Tabak, M. & Wang, Y.Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals (2026)[Working paper › Preprint]. ArXiv.org. Zhang, Y., Cui, B., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.48550/arXiv.2605.19666Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis (2026)[Working paper › Preprint]. ArXiv.org. Cui, B., Song, X., Zhang, Y., Zhang, S., van Beijnum, B. J. F., Tabak, M. & Wang, Y.https://doi.org/10.48550/arXiv.2605.13248Hierarchical Coarse-to-Fine cGAN for Subtype-Specific Freezing of Gait Signal Generation (2026)IEEE journal of biomedical and health informatics (E-pub ahead of print/First online). Yu, X., Cockx, H., Wang, Y., van Wezel, R., Martens, K. E. & Arami, A.https://doi.org/10.1109/JBHI.2026.3685961Dynamic Heartbeat Modeling with Recurrent Neural Networks and Inverse Gaussian Point Process (2026)[Working paper › Preprint]. ArXiv.org. Lin, R. & Wang, Y.https://doi.org/10.48550/arXiv.2604.13815Mechanistic Insights into Skin Sympathetic Nerve Activity Dynamics in Healthy Subjects Through a Two-Layer Signal-Analytical and Closed-Loop Physiological Modeling Framework (2026)[Working paper › Preprint]. MedRxiv. Lin, R., Halfwerk, F. R., Donker, D. W., Tertoolen, J., van der Pas, V. R., Laverman, G. D. & Wang, Y.https://doi.org/10.64898/2026.04.11.26350680Physiological-model-based neural network for modeling the metabolic–heart rate relationship during physical activities (2026)Computer methods and programs in biomedicine, 277. Article 109240. Zhang, Y., Fresiello, L., Veltink, P. H., Donker, D. W. & Wang, Y.https://doi.org/10.1016/j.cmpb.2026.109240

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) (Proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); Vol. 2025). 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/s41467-025-62635-8

Research profiles

Address

University of Twente

Citadel (building no. 09), room H422
Hallenweg 15
7522 NH Enschede
Netherlands

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