CV

Updated on February 6, 2025

Education - 教育经历

• Ph.D in Electronics, Mid Sweden University, Sweden, 2021-2026 (expected)
• M.Sc in Embedded Systems Engineering, University of Leeds, UK, 2018-2019
• B.Eng. in New Energy Science & Engineering, Beijing Information Science & Technology University, China, 2014-2018

Work experience - 工作经历

• 2021.01-now: Doctoral Student
  • Mid Sweden University, Sundsvall, Sweden.
• 2020.05-2020.12: Assistant Engineer
  • Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China.

Skills - 技能

• ML&DL: TensorFlow, Pytorch, Scikit-learn
• Coding: Python, C/C++, MATLAB, Verilog HDL
• Fields: Structural Health Monitoring, Fault Diagnosis (time series and visiual signal)

Publications - 文章发表

Journal Papers - 期刊论文 ——– *Corresponding author-通信作者

1. Yuxuan Zhang*, Rhys Pullin, Bengt Oelmann, Sebastian Bader. (2025). “On-Device Fault Diagnosis with Augmented Data: A Case Study on Carbon Fiber Panels.” Submitted to IEEE Transactions on Instrumentation and Measurement. (JCR Q1, 中科院2区Top)
2. Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. (2025). “On-device Anomaly Detection in Conveyor Belt Operations.” Submitted to IEEE Transactions on Instrumentation and Measurement. (JCR Q1, 中科院2区Top)
3. Chengjie Huang, Xinjuan Sun, Yuxuan Zhang*. (2024). “Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring.” Sensors, 24(13), 4124. (JCR Q2, 中科院3区)
4. Yang Xie, Yali Nie, Jan Lundgren, Mingliang Yang, Yuxuan Zhang, Zhenbo Chen*. (2024). “Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images.” Sensors, 24(11), 3428. (JCR Q2, 中科院3区)
5. Yuxuan Zhang, Veysi Adin, Sebastian Bader*, Bengt Oelmann. (2023). “Leveraging acoustic emission and machine learning for concrete materials damage classification on embedded devices.” IEEE Transactions on Instrumentation and Measurement, 1-8. (JCR Q1, 中科院2区Top)

Conference Papers - 会议论文

1. Yuxuan Zhang*, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann and Sebastian Bader. (2025). “Survey of Quantization Techniques for On-Device Vision-based Crack Detection.” In 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1-6. (accepted)
2. Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Quynh Nguyen Phuong Vu, Bengt Oelmann and Sebastian Bader. (2025). “An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations.” In 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1-6. (accepted)
3. Uditha Muthumala, Yuxuan Zhang, Luciano Sebastian Martinez Rau and Sebastian Bader*. (2024). “Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis.” In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), pp. 444–449.
4. Yuxuan Zhang, Luciano Sebastian Martinez Rau, Bengt Oelmann, Sebastian Bader*. (2024). “Enabling Autonomous Structural Inspections with Tiny Machine Learning on UAVs.” In 2024 IEEE Sensors Applications Symposium (SAS), 1-6.
5. Luciano Sebastian Martinez Rau, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader*. (2024). “TinyML Anomaly Detection for Industrial Machines with Periodic Duty Cycles.” In 2024 IEEE Sensors Applications Symposium (SAS), 1-6.
6. Veysi Adin, Yuxuan Zhang, Bruno Ando, Bengt Oelmann, Sebastian Bader*. (2023). “Tiny Machine Learning for Real-Time Postural Stability Analysis.” In 2023 IEEE Sensors Applications Symposium (SAS), 1-6.
7. Veysi Adin, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader*. (2023). “Tiny Machine Learning for Damage Classification in Concrete using Acoustic Emission Signals.” In 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1-6.
8. Yuxuan Zhang, Sebastian Bader*, Bengt Oelmann. (2022). “A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions.” In 2022 IEEE Sensors Applications Symposium (SAS), 1-6.

Licentiate Thesis, Comprehensive Summaries - 副博士学位论文

1. Yuxuan Zhang. (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)

Doctoral Thesis, Comprehensive Summaries - 博士学位论文

1. Yuxuan Zhang. (2025). “To be decided.” Dr. (Comprehensive summary) Sundsvall : Mid Sweden University, 2025 (Mid Sweden University Doctoral thesis : x)

Service and leadership - 学术服务 & 其它

• 2024 Outstanding Reviewer - IEEE Transactions on Instrumentation and Measurement.
• Special Session Organizer - 2025 IEEE Sensors Applications Symposium, special session “Near-sensor and In-sensor Computing”.
• Session Shair - 2022 IEEE Sensors Applications Symposium, regular seesion “Novel Sensing Technologies”.
• Student Member - IEEE Instrumentation and Measurement Society, IEEE, IEEE Sensors Council & Chinese Mechanical Engineering Society.
• Reviewer - IEEE T-IM, IEEE T-II, IEEE Sensors Journal, Measurement, MSSP, SHM-An International Journal, ESWA, EAAI, IEEE SAS, IEEE I2MTC and others.