Yuxuan Zhang
Doktorand|Doctoral Student
- Professional title: Doctoral Student
- Academic title: Doctoral Student
- Telephone: +46 (0)10-1428004
- Email: yuxuan.zhang@miun.se
- Room number: Ej Angivet
- Location: Sundsvall
- Electronics
- STC Research Centre
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Employee in the subject:
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Research centers:
Background
Yuxuan Zhang completed his Master's Degree in Embedded Systems Engineering from the University of Leeds, Leeds, UK, in 2019. He joined Mid Sweden University in 2021 as a Doctoral Student.
Research
Yuxuan's current research focuses on the performance and optimization of deep learning/machine learning on low-power MCUs, with a particular focus on structural health monitoring applications.
Publications
Articles in journals
Conference papers
Articles in journals
Zhang, Y. , Adin, V. , Bader, S.
&
Oelmann, B. (2023). Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classification on Embedded Devices. IEEE Transactions on Instrumentation and Measurement, vol. 72
Conference papers
Adin, V. , Zhang, Y. , Oelmann, B.
&
Bader, S. (2023). Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals.
In
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
Adin, V. , Zhang, Y. , Ando, B. , Oelmann, B.
&
Bader, S. (2023). Tiny Machine Learning for Real-Time Postural Stability Analysis.
In
2023 IEEE Sensors Applications Symposium (SAS).
Zhang, Y. , Bader, S.
&
Oelmann, B. (2022). A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions.
In
2022 IEEE Sensors Applications Symposium, SAS 2022 - Proceedings.