CV

Updated on Feb. 17, 2026

Work Experience

Education

Research Interests

TinyML, On-device Training, Nondestructive Testing, Smart Sensing and Measurement Systems in Structural Health Monitoring, Smart Agriculture and Industrial Maintenance.

Publications

First Author / Co-First Author(#) / Corresponding Author(*)

Journal Papers

  1. 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. (IF 5.9, JCR Q1, 中科院2区Top)
  2. Chengjie Huang, Xinjuan Sun, Yuxuan Zhang*. (2024). “Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring.” Sensors, 24(13), 4124. (IF 3.5, JCR Q2, 中科院3区)
  3. 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.” IEEE Transactions on Instrumentation and Measurement, 1-12 (IF 5.9, JCR Q1, 中科院2区Top)
  4. Guanhua Li, Menghan Chen, Yuxuan Zhang*. (2025). “Rolling bearing fault diagnosis in noisy environments using Channel-Time parallel attention networks.” Scientific Reports, 15, 35034. (IF 3.9, JCR Q1, 中科院3区)
  5. Yuchen Lu#, Yuxuan Zhang#, Menghan Chen, Qiangqiang Liu, Xiaoran Wang, Zenghua Liu, Hongbing Liu*. (2025). “Acoustic emission-based graph learning for internal valve leakage localisation in offshore pipelines.” Nondestructive Testing and Evaluation, 1-29. (IF 4.2, JCR Q1, 中科院2区)
  6. Yuxuan Zhang*, Yuchen Lu, Luciano Sebastian Martinez-Rau, Quan Qiu*, Sebastian Bader. (2026). “Real-Time On-Device Weed Identification Using a Hardware-Efficient Lightweight CNN.” Frontiers in Plant Science. (IF 4.8, JCR Q1, 中科院2区)
  7. Yuchen Lu#, Yuxuan Zhang#, Hongbing Liu*, Sebastian Bader. (2026). “TinyLSN: A Lightweight Network for Real-Time Marine Pipeline Leakage Detection in IoT Systems.” IEEE Internet of Things Journal. (IF 8.9, JCR Q1, 中科院2区Top)
  8. Minqiu Kuang, Xuejie Zou, Fangping Xie*, Xiaojian Li, Shang Chen, Dawei Liu, Yuxuan Zhang*, Sebastian Bader, Xiangjun Zou, Xu Li*. (2026). “DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments.” Journal of King Saud University Computer and Information Sciences. (IF 6.1, JCR Q1, 中科院2区)
  9. Minqiu Kuang, Xiaojian Li, Fangping Xie*, Xuejie Zou, Yang Xiang, Yuxuan Zhang*, Dawei Liu, Xiangjun Zou, Xu Li*. (2026). “Advancements and prospects in key technologies for robotic pollination in greenhouse pepper breeding: a review.” Frontiers in Plant Science. (IF 4.8, JCR Q1, 中科院2区)
  10. Menghan Chen, Yuxuan Zhang*, Yanchen Ye, Yuchen Lu. (2026). “Physically Interpretable Residual Strength Prediction of Corroded Pipelines via Symbolic Bayesian Networks.” Scientific Reports, 16, 8151. (IF 3.9, JCR Q1, 中科院3区)
  11. Yuxuan Zhang*, Arne Nürnberg, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu, Yuchen Lu, Bengt Oelmann, Sebastian Bader. (2026). “TinyML Pipeline for Efficient Crack Classification in UAV-based Structural Health Inspections” Scientific Reports, 16, xxxx. (IF 3.9, JCR Q1, 中科院3区) (Accepted)

Conference Papers

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Co-Author

Journals

  1. 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. (IF 3.5, JCR Q2, 中科院3区)
  2. Luciano Sebastian Martinez Rau*, Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. (2025). “On-device Anomaly Detection in Conveyor Belt Operations.” IEEE Open Journal of Instrumentation and Measurement. 1-9.(IF 1.5)
  3. Yuchen Lu, Yifei Li, Yuxuan Zhang, Xin Wang, Menghan Chen, Chuanyang Zhao, M. Abdel Wahab, Hongbing Liu*. (2025). “Learning Multi-dimensional Sensor Relationships for Robust Marine Pipeline Leakage Detection via Adaptive Graph Networks.” Engineering Structures. (IF 6.4, JCR Q1, 中科院1区Top)
  4. Renjie He, Qinxu Zhang, Chunlu Wang, Zubin Chen*, Yuxuan Zhang, Sebasitan Bader. (2025). “Low-SNR Microseismic Source Localization via Multi-Scale Convolutional Network with Coordinate Attention”. IEEE Transactions on Instrumentation and Measurement. (IF 5.9, JCR Q1, 中科院2区)
  5. Yuchen Lu, Yuxuan Zhang, Xiaolong Qiu, Weizhe Ren, Chuanyang Zhao, Menghan Chen, Yifei Li, Sebastian Bader, Hongbing Liu*, “Structural Health Monitoring of Offshore Pipelines via A Novel Spatial-Topological Adaptive Graph Neural Network.” Structural Health Monitoring. (IF 5.7, JCR Q1, 中科院2区)
  6. Wenyan Sun, Feifei Xie*, Yuxuan Zhang, Liangrui Wei, Fuzheng Chu, Xiaoyu Tang. (2026). “FDE: A Frequency-Domain Enhancement method for object detection in complex traffic scenes.” Computer Vision and Image Understanding. (IF 3.5, JCR Q2, 中科院3区, CCF B)

Conference Papers

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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 11th World Forum on Internet of Things (WF-IoT), pp. 1–6.

Licentiate Thesis, Comprehensive Summaries

  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

  1. Yuxuan Zhang. (2025). “Efficient On-Device Intelligence for Structural Health Monitoring: A TinyML Perspective.” Dr. (Comprehensive summary) Sundsvall : Mid Sweden University, 2025 (Mid Sweden University Doctoral thesis : 434)

Service and Leadership