张宇轩，男，汉族，群众，哲学博士（专业领域：电子信息），物联网系讲师。IEEE Member,中国机械工程学会高级会员，瑞典中部大学计算机与电气工程学院附属研究员(Affiliated Researcher)。

主讲课程：物联网工程导论、人工智能导论等课程。

研究方向：无损检测、低功耗资源受限设备上的深度学习及智能传感系统在智慧农业、结构健康检测、工业设备运维中的应用。

科研项目：主持青年教师科技创新能力提升计划1项，参与瑞典知识基金会基金项目2项。

l44118太阳成城-青年教师科研创新能力提升计划，面向农业机器人的轻量化杂草识别模型与边缘部署研究，在研，主持人

l瑞典知识基金会，NIIT - Next Generation Industrial IoT（下一代工业物联网），主要参与人

l瑞典知识基金会，TransTech2Horizon用于欧盟地平线项目的技术转移，主要参与人

奖项：

《IEEE Transaction on Instrumentation and Measurement》(IF 5.9, JCR Q1，中科院2区) 2024年杰出审稿人(Outstanding Reviewer)

《Information Processing in Agriculture (农业信息处理)》(IF 7.4, JCR Q1,中科院1区Top) 2025年十位最佳审稿人之一

学术兼职：

l担任多个国际高水平学术期刊审稿人，涵盖中科院一区、二区及智慧农业、仪器测量、人工智能等相关领域。主要审稿期刊包括：IEEE Transactions on Instrumentation and Measurement、Mechanical Systems and Signal Processing、Nondestructive Testing and Evaluation、Ultrasonics、Expert Systems with Applications、IEEE Internet of Things Journal、Advanced Engineering Informatics、ACM Computing Surveys、IEEE Transactions on Industrial Informatics、Computers and Electronics in Agriculture、Information Processing in Agriculture、IEEE Sensors Journal、Reliability Engineering & System Safety、Measurement、Information Sciences、Engineering Applications of Artificial Intelligence等。

l担任2022年IEEE Sensors Applications Symposium (SAS)常规分会场Novel Sensing Technology联合主席，主持学术交流。

l担任2025年IEEE SAS特别分会场Pushing Intelligence to the Edge: Advances in Low-Power AI and Near-Sensor Computing for Smart Systems组织者及联合主席，主持学术交流

l担任2026年IEEE International Instrumentation and Measurement Technology Conference (I2MTC)特别分会场AI-Enhanced Measurement and Instrumentation Systems for Smart Agriculture组织者及Track Chair ATPC。

l担任2026年IEEE International Conference on Omni-Layer Intelligent Systems (COINS)的Track 3: AI Architectures and Systems Design TPC成员。

l担任2024.2025,2026年IEEE SAS, IEEE I2MTC TPC Reviewer.

论文发表：公开发表英文SCI期刊，EI国际会议论文20篇，其中以第一作者（含共同）/通信作者（含共同）发表SCI论文5篇，EI国际会议论文4篇；在国际学术会议上作交流报告4次。

一作/共一/通信/共通信：

SCI期刊：

1.Yuxuan Zhang(独立一作), 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)

2.Chengjie Huang, Xinjuan Sun,Yuxuan Zhang*(独立通信). (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(独立一作), 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)

4.Guanhua Li, Menghan Chen,Yuxuan Zhang*(独立通信). (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#(共同一作), 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)

EI国际会议：

1.Yuxuan Zhang(独立一作), 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(独立一作), 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*(独立一作+独立通信), 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.(中国自动化学会仪器科学A类会议)

4.Yuxuan Zhang*(独立一作+独立通信), 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.

其它合作论文：

SCI期刊：

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.Renjie He, Qinxu Zhang, Chunlu Wang, Zubin Chen*,Yuxuan Zhang, Sebastian Bader. (2025). “Low-SNR Microseismic Source Localization via Multi-Scale Convolutional Network with Coordinate Attention” IEEE Transactions on Instrumentation and Measurement, (Accepted)(IF 5.9, JCR Q1,中科院2区)

EI国际会议论文：

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.(中国自动化学会仪器科学A类会议)

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, Sebastian Bader. (2025). “Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning” In 2025 IEEE 11th World Forum on Internet of Things (WF-IoT), 1-6.

联系方式：

邮箱：yuxuan.zhang@bua.edu.cn/yuxuan.zhang@miun.se

电话：010-80765426

个人主页：https://yuxuanzhang-96.github.io/

Web of Science主页：https://www.webofscience.com/wos/author/record/KHC-7517-2024