窗体顶端
| 李易昭 讲师，硕导 上海市白玉兰青年人才 联系方式：yizhao@shu.edu.cn
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l 个人简介
李易昭，上海大学机自学院讲师、硕士生导师。博士毕业于加拿大阿尔伯塔大学，博士后从事于加拿大西安大略大学。
长期从事生物力学研究与生物医学仪器开发，主要聚焦于头部和关节的损伤、修复与防护研究。包含损伤生物力学、头盔设计和评估、手术优化以及生物医学仪器（植入物、传感器等）设计。
l 主要研究领域
1、生物力学研究
2、生物医学仪器开发
l 代表性成果
▪ 论文（选取代表性论文，不超过10篇）
[1] Li, Y., Vakiel, P., Adanty, K., Ouellet, S., Vette, A.H., Raboud, D., Dennison, C.R., 2023. Influence of surrogate scalp material and thickness on head impact responses: Toward a biofidelic head-brain physical model. Journal of the Mechanical Behavior of Biomedical Materials 142, 105859. https://doi.org/10.1016/j.jmbbm.2023.105859
[2] Li, Y., Vakiel, P., Adanty, K., Ouellet, S., Vette, A.H., Raboud, D., Dennison, C.R., 2023. Evaluating the Intracranial Pressure Biofidelity and Response Repeatability of a Physical Head-Brain Model in Frontal Impacts. Annal of Biomedical Engineering. pp.1-18. https://doi.org/10.1007/s10439-023-03198-x
[3] Li, Y., Adanty, K., Vakiel, P., Ouellet, S., Vette, A.H., Raboud, D., Dennison, C.R., 2022b. Review of Mechanisms and Research Methods for Blunt Ballistic Head Injury. Journal of Biomechanical Engineering-ASME, 145(1), 010801. https://doi.org/10.1115/1.4055289.
[4] Li, Y., Ouellet, S., Vette, A., Raboud, D.W., Martin, A., Dennison, C., 2021. Evaluation of the Kinematic Biofidelity and Inter-Test Repeatability of Global Accelerations and Brain Parenchyma Pressure for a Head-Brain Physical Model. Journal of Biomechanical Engineering-ASME，143, 091006. https://doi.org/10.1115/1.4050752
[5] Adanty, K., Brice, A., Li, Y., Vakiel, P., Rabey, K. N., Adeeb, S., ... & Dennison, C. R. (2023). A preliminary step towards a physical surrogate of the human calvarium to model fracture. Annals of Biomedical Engineering, 51(12), 2883-2896.
[6] Chen, Y., Li, Y.*, Niu, G., Zuo, M., 2022. Offline and Online Measurement of the Geometries of Train Wheelsets: A Review. IEEE Transactions on Instrumentation and Measurement, 71, 1–15. https://doi.org/10.1109/TIM.2022.3205691
[7] Wang, F., Li, Y., Li, L.P. and Kong, D.R*., 2018. Research on FAE cloud image processing method based on background subtraction and region growing. International Journal of Pattern Recognition and Artificial Intelligence, 32(07), p.1854019. https://doi.org/10.1142/S0218001418540198.
