CV
Updated on May 15, 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
- Fields: Structural Health Monitoring, Fault Diagnosis (time series and visiual signal), Smart Agriculture
Publications - 文章发表
Journal Papers - 期刊论文 ——– *Corresponding author-通信作者
- Yuxuan Zhang, Rhys Pullin, Bengt Oelmann, Sebastian Bader*. (2025). “On-Device Fault Diagnosis with Augmented Acoustic Emission Data: A Case Study on Carbon Fiber Panels.” Submitted to IEEE Transactions on Instrumentation and Measurement. (JCR Q1, 中科院2区) (minor revision)
- Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. (2025). “On-device Anomaly Detection in Conveyor Belt Operations.” Submitted to IEEE Sensors Journal. (JCR Q1, 中科院3区)
- 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)
- 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)
- 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)
Conference Papers - 会议论文
- Luciano Sebastian Martinez Rau*, Quynh Nguyen Phuong Vu, Yuxuan Zhang, Bengt Oelmann and Sebastian Bader. (2025). “Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning.” In 2025 IEEE 10th World Forum on Internet of Things (WF-IoT). (under review)
- Yuxuan Zhang*, Ye Xu, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann and Sebastian Bader. (2025). “On-Device Crack Segmentation for Edge Structural Health Monitoring.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6. (accepted)
- Quynh Nguyen Phuong Vu*, Luciano Sebastian Martinez Rau, Yuxuan Zhang, Duc Nko Tran, Bengt Oelmann, Michele Magno and Sebastian Bader. (2025). “Efficient Continual Learning in Keyword Spotting using Binary Neural Networks.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6. (accepted)
- Wei Li, Xiaochun Wu, Xiaoxi Hu, Yuxuan Zhang, Sebastian Bader, Yuhan Huang. (2025). “LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6. (accepted)
- Xiaoran Wang, Hongyu Li, Zhenghua Liu, Jianing Zhang, Yuxuan Zhang, Sebastian Bader. (2025). “Long short-term memory-optimized time difference mapping for enhanced acoustic emission source localization in composite materials.” In 2025 IEEE Sensors Applications Symposium (SAS), 1-6. (accepted)
- 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)
- 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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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, ESWA, EAAI, IEEE SAS, IEEE I2MTC, SHM-An International Journal and others.