长期从事桥梁健康监测与智慧运维的研究，包括多模态数据分析、复杂系统识别、物理编码人工智能等，主持多项科研项目，研究成果应用于港珠澳大桥数字孪生体建模、香港理工大学XZ跨线桥多模态数据智能交互平台等重要工程。以第一/通讯作者发表论文27篇，其中23篇为JCR1区，13篇发表于IEEE Internet of Things Journal与Mechanical Systems and Signal Processing等人工智能/土木工程中科院1区期刊。 办公地点：曾呈奎楼A509 每年招收硕士3名，博士生2名欢迎对基础设施智慧运维管养与土木工程数字智能化感兴趣的同学报考！教育与工作经历 Ÿ 2013-2017年，西南交通大学土木工程学院桥梁工程专业，学士；Ÿ 2017-2021年，同济大学土木工程学院，博士；Ÿ 2022-2025年，香港理工大学环境与土木工程系，博士后；Ÿ 2025年至今，厦门大学建筑与土木工程学院，副教授。研究方向 Ÿ 桥梁智慧运维Ÿ 结构数字孪生Ÿ 物理编码人工智能Ÿ 结构监测的手机群物联网云计算近期承担的重大科研项目 Ÿ 海外*****专项，教育部，在研，主持；Ÿ 福建省自然科学基金优秀青年科学基金，福建省科技厅，在研，主持；Ÿ 厦门大学高层次人才科研启动费，在研，主持；Ÿ 日本学术振兴会JSPS项目，结题，主持；Ÿ 香江学者计划，结题，主持；Ÿ 国家重点研发计划，港珠澳大桥智慧化运维技术集成应用，结题，参与；Ÿ 国家自然科学基金面上项目，基于混合监测的桥梁数字化建模、桥梁结构混合监测，结题，参与。荣誉与奖励 Ÿ Hong Kong Scholar Award, The Society of Hong Kong Scholars，2022年Ÿ 日本学术振兴会JSPS学者，2025年Ÿ 福建省高层次人才（C类），厦门市高层次人才（B类）Ÿ 厦门市2025届优培生，2025年Ÿ 厦门大学南强青年拔尖人才，2025年Ÿ 青年论坛竞赛一等奖，第十一届海峡两岸高校生土木工程监测与控制研讨会，2023年Ÿ Best Oral Presentation, Hong Kong Scholars Annual Symposium，2023年Ÿ 国家奖学金2次，2020年，2016年国际学术组织任职情况 Ÿ Mechanical Systems and Signal Processing, Engineering Structures, Structural Health Monitoring, Structural Control and Health Monitoring, Advances in Structural Engineering 等期刊审稿人Ÿ Advances in Bridge Engineering (JCR2) 期刊青年编委&客座编辑Ÿ Journal of Visualized Experiment (JCR3 期刊客座编辑（排名1）Ÿ Smart Construction 青年编委论文发表 (全部为第一/通讯作者* 23 JCR1, 3 JCR2, 1 JCR3)[1] Jiaxin Liu, Wei Zhang, Limin Sun*, and Yixian Li*, Physics-encoded unsupervised deep learning for lightweight structural health monitoring of short and medium-span bridge networks, Engineering Applications of Artificial Intelligence, (JCR1, TOP), 2026;[2] Lanxin Luo, Limin Sun, Yixian Li*, and Yong Xia*, Sparse Bayesian Learning for Joint Load-Parameter-Response Identification, Reliability Engineering & System Safety, (JCR1, TOP), 2025;[3] Jiaxin Liu, Yixian Li*, Limin Sun, Lanxin Luo, Mingming Song, Physics-encoded interpretable self-supervised learning for structural damage identification, Engineering Structures (JCR1, TOP), 2025;[4] Lanxin Luo, Limin Sun, Mingming Song, Jiaxin Liu, Yixian Li*, and Yong Xia*, Joint load-parameter-response identification using a physics-encoded neural network, Mechanical Systems and Signal Processing (JCR1, Top), 2025;[5] Jiaxin Liu, Yixian Li*, Limin Sun*, Yiqing Wang, and Lanxin Luo, Physics and data hybrid-driven interpretable deep learning for moving force identification, Engineering Structures (JCR1, TOP), 2025;[6] Lanxin Luo, Limin Sun, Yixian Li*, and Yong Xia*, Structural Nonlinear Boundary Condition Identification Using A Hybrid Physics Data-driven Approach [J], Nonlinear Dynamics (JCR1, TOP), 2024;[7] Peng Ni, Limin Sun, and Yixian Li*. Multi-end physics-informed deep learning for seismic response estimation [J], Sensors (JCR2), 2022, Vol. 22(10), No. 3697;[8] Peng Ni, Yixian Li*, Limin Sun*, etc. Traffic-induced bridge displacement reconstruction using a physics-informed convolutional neural network [J], Computers and Structure (JCR1), 2022, Vol. 271, No. 106863;[9] Limin Sun, Haibin Sun, Wei Zhang, Yixian Li*. Hybrid monitoring methodology: a model-data integrated digital twin framework for structural health monitoring and full-field virtual sensing [J], Advanced Engineering Informatics (JCR1, TOP), 2024, Vol. 60, No. 102386;[10] Sun Limin, Li Yixian*, Zhu Wang, and Zhang Wei. Structural response reconstruction in physical coordinate from deficient measurements [J], (JCR1, TOP), 2020, Vol. 212, No. 110484;[11] Sun, Limin, Li Yixian*, and Zhang Wei. Experimental study on continuous bridge-deflection estimation through inclination and strain [J], ASCE Journal of Bridge Engineering (JCR2), 2020, Vol. 25(5), No. 04020020;[12] Yixian Li, Jiaxin Liu, Zhipeng Zhao, Wei Tian, Lanxin Luo* and Yong Xia*, Health monitoring of neighbored structures using the probability space of correlation function from sparsely distributed sensors, IEEE Internet of Things Journal (JCR1, TOP), 2026;[13] Yixian Li, Qi Xia, Tong Guo, Yuxuan Zhang, Wanglin Wu, and Yong Xia*, Infrastructure-User Heterogeneous Data Interaction and Fusion of Mobile-IoT Sensing Networks in a Smart City: Application to a Footbridge, IEEE Internet of Things Journal (JCR1, TOP), Vol. 12(11), 2025;[14] Yixian Li, Haibin Sun*, Limin Sun*, Jiaxin Liu, Lanxin Luo, and Ying Lei, Bayesian System Identification Considering the Spatial Correlation of Distributed Loads, Structural Health Monitoring (JCR1, TOP), 2025; [15] Yixian Li, Zhipeng Zhao, Limin Sun, Tong Guo*, and Bin Yang*, A Geometrical Morphology-Enhanced Computer Vision Approach for Structural Health Assessment, Structural Health Monitoring (JCR1, TOP), 2025;[16] Yixian Li, Lanxin Luo, Xiaoyou Wang, Xiaoqing Zhou, Limin Sun, Yong Xia*, State-of-Art Review on Load Identification and Response Reconstruction Approaches to Realize Digital Twin of Infrastructures, Advances in Structural Engineering (JCR2), 2025;[17] Yixian Li and Limin Sun*. Substructure-level damage identification based on the spectrum-probability space of the transmissibility function [J], Journal of Sound and Vibration (JCR1, TOP), 2024, Vol. 571, No. 118117;[18] Li Yixian, Ni Peng, Sun Limin*, and Yong Xia*. Finite element model-informed deep learning for equivalent force estimation and full-field response calculation [J], Mechanical Systems and Signal Processing (JCR1, TOP), 2024, Vol. 203, No. 110892;[19] Yixian Li, Wei Tian, Yong Xia*, and Limin Sun*. Principal force pattern and impulse response mode for structural equivalent force estimation and full-field response reconstruction [J], Mechanical Systems and Signal Processing (JCR1, TOP), 2023, Vol. 200, No. 110660;[20] Yixian Li, Xiaoyou Wang, Yong Xia*, and Limin Sun*. Sparse Bayesian technique for load identification and full response reconstruction [J], Journal of Sound and Vibration (JCR1, TOP), 2023, Vol.553, No. 117669;[21] Yixian Li, Limin Sun*, Yong Xia* et.al. General Tikhonov regularization-based load estimation of bridges considering the computer vision-extracted prior information [J], Structural Control and Health Monitoring (JCR1), 2022, Vol. 29(12);[22] Li Yixian, Limin Sun, Wang Zhu, and Wei Zhang. A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering damage [J], Frontier of Structural and Civil Engineering (JCR3), 2022, Vol. 16(4): 448-460;[23] Li Yixian, Ni Peng, Sun Limin*, and Zhu Wang. A convolutional neural network-based full-field response reconstruction framework with multitype inputs and outputs [J], Structural Control and Health Monitoring (JCR1), 2022, Vol. 29(7), No. e2961;[24] Li Yixian, Zhu Ledong, Qian Cheng, Jian Xudong, and Sun Limin*. The time-varying modal information of a cable-stayed bridge: Some consideration for SHM [J], Engineering Structures (JCR1, TOP), 2021, Vol.235, No. 111835;[25] Li Yixian, Huang Hongwei, Zhang Wei, and Sun Limin*. Structural full-field responses reconstruction by the SVD and pseudo-inverse operator-estimated force with two-degree multi-scale models, Engineering Structures (JCR1, TOP), 2021, Vol. 249, No. 112986;[26] Li Yixian, Sun Limin*, Zhang Wei, and Nagarajaiah Satish*. Bridge damage detection from the equivalent damage load by multitype measurements [J], Structural Control and Health Monitoring (JCR1), 2021, Vol. 28(5), No. e2709; [27] Li Yixian and Sun Limin*. Structural deformation reconstruction by the Penrose–Moore pseudo-inverse and singular value decomposition–estimated equivalent force [J], Structural Health Monitoring (JCR1, TOP), 2020, Vol. 20(5): 2412-2429.