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: S220
- Location: Sundsvall
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- Employed at the subject:
- Electronics
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- Research centers:
- STC Research Centre
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.
Other information
ORCID: 0000-0002-8617-0435
Personal website: Yuxuan Zhang (张宇轩) - GitHub
Publications
Articles in journals
Conference papers
Licentiate theses, comprehensive summaries
Articles in journals
Zhang, Y. , Pullin, R. , Oelmann, B. & Bader, S. (2025). On-Device Fault Diagnosis with Augmented Acoustic Emission Data : A Case Study on Carbon Fiber Panels. IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-12.
Xie, Y. , Nie, Y. , Lundgren, J. , Yang, M. , Zhang, Y. & Chen, Z. (2024). Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images. Sensors, vol. 24: 11
Huang, C. , Sun, X. & Zhang, Y. (2024). Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring. Sensors, vol. 24: 13
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
Muthumala, U. , Zhang, Y. , Martinez Rau, L. & Bader, S. (2024). Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis. In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT).
Zhang, Y. , Martinez Rau, L. , Oelmann, B. & Bader, S. (2024). Enabling Autonomous Structural Inspections with Tiny Machine Learning on UAVs. In 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.
Martinez Rau, L. , Zhang, Y. , Oelmann, B. & Bader, S. (2024). TinyML Anomaly Detection for Industrial Machines with Periodic Duty Cycles. In 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.
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.
Licentiate theses, comprehensive summaries
Zhang, Y. (2024). Tiny Machine Learning for Structural Health Monitoring with Acoustic Emissions. Lic. (Comprehensive summary) Sundsvall : Mid Sweden University, 2024 (Mid Sweden University licentiate thesis : 204)