萧澎伟，博士，现任深圳理工大学药学院教研助理教授、博士生导师。研究方向主要包括：骨质疏松与骨折风险预测、骨组织结构的多尺度建模（纳米-宏观）深入探索骨的结构与功能关系、基于医学影像的人工智能建模与图像处理、基于双平面透视成像的髋/膝关节运动学研究，以及创新医疗器械的研发与应用。
学习经历：
2018-2022 德州大学圣安东尼奥分校，机械专业，博士
2008-2010 暨南大学，工程力学专业，硕士
2004-2008 华南理工大学，工程力学专业，学士
工作经历：
2025.08-至今 深圳理工大学，药学院，教研助理教授
2024.01-2025.06 美国麻省总医院/哈佛医学院，博士后
2023.01-2023.12 德州大学圣安东尼奥分校，博士后
2018.08-2022.12 德州大学圣安东尼奥分校，科研助理
骨质疏松与骨折的诊断及预测、人工智能驱动的临床医学影像分析及建模、骨组织结构的多尺度建模、骨科生物力学、骨关节运动学，以及创新医疗器械的研发与应用。
[1]Xiao, P.,Kirby, M., Hu, Y., Guo, X. E., & Wang, X. (2025).A 3D generative structural model of trabecular bone using a novel probabilistic approach. J Mech Behav Biomed Mater, 171, 107118. doi:10.1016/j.jmbbm.2025.107118
[2]Xiao, P., Schilling, C., & Wang, X. (2024).Characterization of Trabecular Bone Microarchitecture and Mechanical Properties Using Bone Surface Curvature Distributions. J Funct Biomater, 15(8). https://doi.org/10.3390/jfb15080239
[3]P Xiao, A Roy, X Wang.IN-silico simulation of nanoindentation on bone using a 2D cohesive finite element model. Journal of the Mechanical Behavior of Biomedical Materials, 106403, 2024
[4]P Xiao, T Zhang, Y Huang, X Wang.A novel QCT-based deep transfer learning approach for predicting stiffness tensor of trabecular bone cubes. IRBM, 100831, 2024.
[5] Eakeen Haque,Pengwei Xiao, Keying Ye, Xiaodu Wang.Probability-Based Approach for Characterization of Microarchitecture and its Effect on Elastic Properties of Trabecular Bone. Journal of the Mechanical Behavior of Biomedical Materials, 2022
[6] Y Han, J Gomez, R Hua,P Xiao, W Gao, JX Jiang, X Wang.Removal of glycosaminoglycans affects the in situ mechanical behavior of extrafibrillar matrix in bone. Journal of the Mechanical Behavior of Biomedical Materials, 123, 104766, 2021
[7]P Xiao, E Haque, T Zhang, XN Dong, Y Huang, X Wang.Can DXA image-based deep learning model predict the anisotropic elastic behavior of trabecular bone?. Journal of the Mechanical Behavior of Biomedical Materials, 124, 104834, 2021
[8]P Xiao, T Zhang, E Haque, T Wahlen, XN Dong, Y Huang, X Wang.Prediction of Elastic Behavior of Human Trabecular Bone Using A DXA Image-Based Deep Learning Model. JOM, 1-1, 2021
[9]P Xiao, T Zhang, XN Dong, Y Han, Y Huang, X Wang.Prediction of trabecular bone architectural features by deep learning models using simulated DXA images. Bone reports 13, 100295, 2020
电子邮箱：xiaopengwei@suat-sz.edu.cn
