MSc Shuoyan Zhao

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Themes: Autonomous sensor systems

Biography

Shuoyan Zhao is a PhD student at SPS, starting in November 2023 and working with Justin Dauwels. Prior to this, she received her MSc diploma also from SPS.

Reliable POwerDown for Industrial Drives

The pioneering EU research project R-PODID started on the 1st of September 2023. This KDT JU co-funded project aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.

  1. Uncertainty-Aware Gate-Lifetime Prediction of p-GaN Gate HEMTs Using Gaussian Processes
    Shuoyan Zhao; Raj Thilak Rajan; Andrea Tallarico; Maurizio Millesimo; Vladislav Volosov; Antonio Imbruglia; Justin Dauwels;
    In 2025 9th International Conference on System Reliability and Safety (ICSRS),
    pp. 152-156, 2025. DOI: 10.1109/ICSRS68021.2025.11422186

  2. Prediction of Postinduction Hypotension by Machine Learning
    Shuoyan Zhao; Alan Hamo; Niki Ottenhof; Jan-Wiebe H. Korstanje; Justin Dauwels;
    In 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024,
    IEEE, pp. 1--4, 2024. DOI: 10.1109/EMBC53108.2024.10782974
    document

BibTeX support

Last updated: 23 Aug 2024

Shuoyan Zhao