张宇轩，电子信息专业博士，物联网系讲师，美国电气电子工程师学会会员（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），北京农学院特聘国际事务专员。主要从事边缘人工智能算法压缩优化（EdgeAI, TinyML）、智能传感系统及其在智慧农业、结构健康监测（无损检测）应用中的研究。2025年10月毕业于瑞典中部大学，获电子信息博士学位；2019年11月获英国利兹大学嵌入式系统工程硕士学位；2018年7月毕业于北京信息科技大学，获工学学士学位。2020年曾于中国科学院微电子研究所任助理工程师。主持项目1项（校级青年教师科研创新能力提升计划），参与国际科研项目2项（瑞典知识基金会项目）。近年来，发表仪器测量领域顶刊IEEE TIM,物联网智能感知领域顶刊IEEE IoTJ,无损检测领域顶刊Nondestructive Testing and Evaluation等高水平SCI/EI论文30余篇，其中以第一/通讯作者发表SCI论文12篇、EI国际会议论文4篇，在国际会议作汇报4次。文章总计引用量300余次，h-index为12。担任声学领域权威期刊Frontiers in Acoustics专题客座编辑及30多个国际顶级期刊（中科院一、二区TOP）审稿专家，包括ACM Computing Surveys, IEEE TIM, IEEE TII, IEEE IoTJ, IEEE Sensors Journal, MSSP, RESS, SHM, Measurement, NTE, Ultrasonics, ESWA, EAAI, AEI, INPA, COMPAG等。曾担任IEEE SAS, IEEE I2MTC, IEEE COINS, IEEE EEiSS, MICCIS等国际会议分会场/工作坊联合主席、专题组织者及TPC成员并参与国际会议组织工作。此外还获仪器测量领域顶刊IEEE TIM 2024和2025年年度杰出审稿人奖，INPA 2025年杰出审稿人奖。
主讲课程：物联网工程导论（双语）、人工智能导论、计算机网络基础等。
研究方向：边缘人工智能算法压缩优化（EdgeAI, TinyML）、智能传感测量系统及其在智慧农业、结构健康监测（无损检测）应用中的研究。
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。
1.北京农学院-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
2.瑞典知识基金会，Next Generation Industrial IoT，主要参与人
3.瑞典知识基金会，TransTech2Horizon，主要参与人
获奖情况：
1.仪器测量顶刊IEEE Transaction on Instrumentation and Measurement (SCI Indexed，影响因子5.9，中科院工程技术大类二区TOP) 2024、2025年杰出审稿人
2.智慧农业顶刊Information Processing in Agriculture (SCI Indexed，影响因子7.4，中科院农林科学大类一区TOP) 2025年杰出审稿人
3.瑞典中部大学岗位制博士全额奖学金（2021.01-2025.10）
4.指导学生获得北京大学生“人工智能+”创新大赛校赛二等奖一项
论文发表：公开发表英文SCI期刊，EI国际会议论文30余篇，其中以第一/通讯作者发表SCI论文12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。
发表论文列表
[1]Chaoyue Han, Shuo Kang*, Lipengchegn Wan, Dongdong Du*,Yuxuan Zhang*, Yuchen Lu, Jun Wang. Tactile Sensing-Based Measurement and Correlation Analysis for Peach Ripeness Assessment.IEEE Transactions on Instrumentation and Measurement, 2026. (SCI Indexed,影响因子5.9,中科院工程技术大类二区TOP，共通通讯作者)
[2]Shengchen Yang#, Zhen Wang#, Xiangsen Han, Shuohan Ge, Dongliang Zhang,Yuxuan Zhang*. Accurate Infrared Interferometric Thickness Measurement of Silicon Carbide Epitaxial Layers Using Dynamic Refractive Index Correction.Nondestructive Testing and Evaluation, 2026. (SCI Indexed,影响因子4.2，中科院二区，唯一通讯作者)
[3]Yuxuan Zhang, Yuchen Lu*, Luciano Sebastian Martinez-Rau, Zhengqiang Fan, Quan Qiu*, Brendan O’Flynn, Sebastian Bader. TinyML-Enabled IoT Edge Framework with Knowledge Distillation for Weed Classification.IEEE Internet of Things Journal, 2026. (SCI Indexed,影响因子8.9,中科院计算机科学大类一区TOP，唯一第一作者)
[4]Yuxuan Zhang*, Arne Nürnberg, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu, Yuchen Lu, Bengt Oelmann, Sebastian Bader. TinyML Pipeline for Efficient Crack Classification in UAV-based Structural Health Inspections.Scientific Reports, 2026. (SCI Indexed,影响因子3.9,中科院三区，唯一第一作者，唯一通讯作者)
[5]Menghan Chen,Yuxuan Zhang*, Yanchen Ye, Yuchen Lu. Physically Interpretable Residual Strength Prediction of Corroded Pipelines via Symbolic Bayesian Networks.Scientific Reports, 2026. (SCI Indexed,影响因子3.9,中科院三区，唯一通讯作者)
[6]Yuchen Lu, Yifei Li, Hongbing Liu*,Yuxuan Zhang, Xin Wang, Menghan Chen, Chuanyang Zhao, M Abdel Wahab. Learning Multi-Dimensional Sensor Relationships for Robust Marine Pipeline Leakage Non-destructive Detection via Adaptive Graph Networks.Engineering Structures, 2026. (SCI Indexed,影响因子6.4,中科院工程技术大类一区TOP)
[7]Yuchen Lu#,Yuxuan Zhang#, Hongbing Liu*, Sebastian Bader. TinyLSN: A Lightweight Network for Real-Time Marine Pipeline Leakage Detection in IoT Systems.IEEE Internet of Things Journal, 2026. (SCI Indexed,影响因子8.9,中科院计算机科学大类一区TOP，共同第一作者)
[8]Minqiu Kuang, Xuejie Zou, Fangping Xie*, Xiaojian Li, Shang Chen, Dawei Liu,Yuxuan Zhang*, Sebastian Bader, Xiangjun Zou, Xu Li*. DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments.Journal of King Saud University-Computer and Information Sciences, 2026. (SCI Indexed,影响因子6.1,中科院计算机科学大类二区，通讯作者)
[9]Wenyan Sun, Feifei Xie,Yuxuan Zhang, Liangrui Wei, Fuzheng Chu, Xiaoyu Tang. FDE: A Frequency-Domain Enhancement Method for Object Detection in Complex Traffic Scenes.Computer Vision and Image Understanding, 2026. (SCI Indexed,影响因子3.5,中科院计算机科学大类三区，CCF B)
[10]Minqiu Kuang, Xiaojian Li, Fangping Xie*, Xuejie Zou, Yang Xiang,Yuxuan Zhang*, Dawei Liu, Xiangjun Zou, Xu Li*. Advancements and Prospects in Key Technologies for Robotic Pollination in Greenhouse Pepper Breeding: A Review.Frontiers in Plant Science, 2026. (SCI Indexed,影响因子4.8,中科院二区TOP，通讯作者)
[11]Yuxuan Zhang*, Yuchen Lu, Luciano Sebastian Martinez-Rau, Quan Qiu, Sebastian Bader. Real-Time On-Device Weed Identification Using a Hardware-Efficient Lightweight CNN.Frontiers in Plant Science, 2026. (SCI Indexed,影响因子4.8,中科院二区TOP，唯一第一作者，通讯作者)
[12]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, 2026. (SCI Indexed,影响因子4.8,中科院工程技术大类二区)
[13]Renjie He, Qinxu Zhang, Chunlu Wang, Zubin Chen,Yuxuan Zhang, Sebastian Bader. Low-SNR Microseismic Source Localization via Multiscale Convolutional Network With Coordinate Attention.IEEE Transactions on Instrumentation and Measurement, 2025. (SCI Indexed,影响因子5.9,中科院工程技术大类二区TOP)
[14]Luciano Sebastian Martinez-Rau, Quynh Nguyen Phuong Vu,Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning.2025 IEEE 11th World Forum on Internet of Things (WF-IoT). (EI Indexed,物联网顶级国际会议)
[15]Yuchen Lu#,Yuxuan Zhang#, Menghan Chen, Qiangqiang Liu, Xiaoran Wang, Zenghua Liu, Hongbing Liu. Acoustic Emission-Based Graph Learning for Internal Valve Leakage Localisation in Offshore Pipelines.Nondestructive Testing and Evaluation, 2025. (SCI Indexed,影响因子4.2，中科院二区，共同第一作者)
[16]Guanhua Li, Menghan Chen, Yuchen Lu,Yuxuan Zhang*. Rolling Bearing Fault Diagnosis in Noisy Environments Using Channel-Time Parallel Attention Networks.Scientific Reports, 2025. (SCI Indexed,影响因子3.9,中科院三区，唯一通讯作者)
[17]Luciano Sebastian Martinez-Rau,Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. On-Device Anomaly Detection in Conveyor Belt Operations.IEEE Open Journal of Instrumentation and Measurement, 2025. (EI Indexed,影响因子1.5)
[18]Quynh Nguyen-Phuong Vu, Luciano Sebastian Martinez-Rau,Yuxuan Zhang, Nho-Duc Tran, Bengt Oelmann, Michele Magno, Sebastian Bader. Efficient Continual Learning in Keyword Spotting using Binary Neural Networks.2025 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议)
[19]Yuxuan Zhang*, Ye Xu, Luciano Sebastian Martinez-Rau, Quynh Nguyen Phuong Vu, Bengt Oelmann, Sebastian Bader. On-Device Crack Segmentation for Edge Structural Health Monitoring.2025 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议，唯一第一作者，唯一通讯作者)
[20]Wei Li, Xiaochun Wu, Xiaoxi Hu, Yuxuan Zhang, Sebastian Bader, Yuhan Huang. LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines.2025 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议)
[21]Xiaoran Wang, Hongyu Li, Zenghua Liu, Jianing Zhang,Yuxuan Zhang, Sebastian Bader. Long short-term memory-optimized time difference mapping for enhanced acoustic emission source localization in composite materials.2025 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议)
[22]Yuxuan Zhang, Rhys Pullin, Bengt Oelmann, Sebastian Bader. On-Device Fault Diagnosis with Augmented Acoustic Emission Data: A Case Study on Carbon Fiber Panels.IEEE Transactions on Instrumentation and Measurement, 2025. (SCI Indexed,影响因子5.9,中科院工程技术大类二区TOP，唯一第一作者)
[23]Yuxuan Zhang*, Luciano Sebastian Martinez-Rau, Quynh Nguyen Phuong Vu, Bengt Olemann, Sebastian Bader. Survey of Quantization Techniques for On-Device Vision-based Crack Detection.2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). (EI Indexed,中国自动化学会检测技术与自动化装置最高级A类国际会议，唯一第一作者，唯一通讯作者)
[24]Luciano Sebastian Martinez-Rau,Yuxuan Zhang, Quynh Nguyen Phuong Vu, Bengt Oelmann, Sebastian Bader. An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations.2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). (EI Indexed,中国自动化学会检测技术与自动化装置最高级A类国际会议)
[25]Uditha Muthumala,Yuxuan Zhang, Luciano Sebastian Martinez-Rau, Sebastian Bader. Comparison of tiny machine learning techniques for embedded acoustic emission analysis.2024 IEEE 10th World Forum on Internet of Things (WF-IoT). (EI Indexed,物联网顶级国际会议)
[26]Luciano Sebastian Martinez-Rau,Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. Tinyml anomaly detection for industrial machines with periodic duty cycles.2024 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议)
[27]Yuxuan Zhang*, Luciano Sebastian Martinez-Rau, Bengt Oelmann, Sebastian Bader. Enabling autonomous structural inspections with tiny machine learning on UAVs.2024 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议，唯一第一作者，唯一通讯作者)
[28]Chengjie Huang, Xinjuan Sun,Yuxuan Zhang*. Tiny-machine-learning-based supply canal surface condition monitoring.Sensors, 2024. (SCI Indexed,影响因子3.5,中科院三区，唯一通讯作者)
[29]Yang Xie, Yali Nie, Jan Lundgren, Mingliang Yang,Yuxuan Zhang, Zhenbo Chen. Cervical spondylosis diagnosis based on convolutional neural network with x-ray images.Sensors, 2024. (SCI Indexed,影响因子3.5,中科院三区)
[30]Yuxuan Zhang, Veysi Adin, Sebastian Bader, Bengt Oelmann. Leveraging acoustic emission and machine learning for concrete materials damage classification on embedded devices.IEEE Transactions on Instrumentation and Measurement, 2023. (SCI Indexed,影响因子5.9,中科院工程技术大类二区TOP，唯一第一作者)
[31]Veysi Adın,Yuxuan Zhang, Bruno Andò, Bengt Oelmann, Sebastian Bader. Tiny machine learning for real-time postural stability analysis.2023 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议)
[32]Veysi Adın,Yuxuan Zhang, Bengt Oelmann, Sebastian Bader. Tiny Machine Learning for Damage Classification in Concrete using Acoustic Emission Signals.2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). (EI Indexed,中国自动化学会检测技术与自动化装置最高级A类国际会议)
[33]Yuxuan Zhang, Sebastian Bader, Bengt Oelmann. A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions.2022 IEEE Sensors Applications Symposium (SAS). (EI Indexed,传感器应用顶级国际会议，唯一第一作者)
国内外学术合作院校及科研机构：
北京工业大学、哈尔滨工程大学、哈尔滨工业大学、吉林大学、清华大学、西安交通大学、浙江大学、湖南农业大学、瑞典中部大学、香港理工大学、意大利卡塔尼亚大学、意大利博洛尼亚大学、澳大利亚CSIRO、爱尔兰科克大学（延德尔国家研究所）、瑞士苏黎世联邦理工学院（ETHz）、英国卡迪夫大学等。
欢迎想从事科研，对AI算法（不限于EdgeAI, TinyML）在农业、工业应用等领域感兴趣，有意愿参与发表英文SCI论文、EI国际会议论文的同学们联系，我会手把手带你入门科研及视同学们优秀情况向有合作的985、211院校推荐读研。
联系方式：
邮箱：yuxuan.zhang@bua.edu.cn或yuxuan.zhang@miun.se
电话：010-80765426
ResearchGate：www.researchgate.net/profile/Yuxuan-Zhang-61?ev=hdr_xprf
ORCID:0000-0002-8617-0435
个人主页：yuxuanzhang-96.github.io/
科睿唯安：www.webofscience.com/wos/author/record/KHC-7517-2024
