姓名：尚林伟 性别：男 职务：
职称：讲师 导师类别： 办公室：将军路校区伟德国际手机19461-409；
天目湖校区尚德楼西附楼322
研究领域： 生物医学光学/光谱学与人工智能
电话：17512503641 Email：Shang@nuaa.edu.cn
个人简介：
尚林伟，博士，讲师。本硕博毕业于BETVLCTOR伟德在线登录平台生物医学工程专业，2024年2月入职BETVLCTOR伟德在线登录平台生物医学工程系，担任天目湖校区讲师。目前主要从事生物医学光学/光谱学与人工智能的联合应用，具体涉及光谱/图像数据挖掘、数据计算、数据融合等。详细信息见http://bmsi.nuaa.edu.cn。
教育经历：
2016.09 - 2023.06 BETVLCTOR伟德在线登录平台 仪器科学与技术（生物医学信息与仪器） 硕博连读
2021.09 - 2022.09 新加坡南洋理工大学 生物医学工程 公派留学
2012.09 - 2016.06 BETVLCTOR伟德在线登录平台 生物医学工程 学士
学术成果
1.KokKen Chan#, LinWei Shang#, Zhen Qiao, et al. Monitoring amyloidogenesis with a 3D deep-learning-guided biolaser imaging array[J]. Nano Letters, 2022, 22(22): 8949-8956.
2.LinWei Shang, DanYing Ma, JuanJuan Fu, et al. Fluorescence imaging and Raman spectroscopy applied for the accurate diagnosis of breast cancer with deep learning algorithms[J]. Biomedical Optics Express, 2020, 11(7): 3673-3683.
3.DanYing Ma#, LinWei Shang#, JinLan Tang, et al. Classifying breast cancer tissue by Raman spectroscopy with one-dimensional convolutional neural network[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2021, 256 (1): 119732.
4.JinJin Wu, ZhiBing Xu, LinWei Shang*, et al. Multimodal microscopic imaging with deep learning for highly effective diagnosis of breast cancer[J]. Optics and Lasers in Engineering, 2023, 168 (1): 107667.
5.LinWei Shang, YiLin Bao, JinLan Tang, et al. A novel polynomial reconstruction algorithm-based 1D convolutional neural network used for transfer learning in Raman spectroscopy application[J]. Journal of Raman Spectroscopy, 2022, 53(2): 237-246.
6.LinWei Shang#, JinLan Tang#, JinJin Wu, et al. Polarized micro-Raman spectroscopy and 2D convolutional neural network applied to structural analysis and discrimination of breast cancer[J]. Biosensors, 2022, 13(1): 65-79.
7.LinWei Shang, JuanJuan Fu, DanYing Ma, et al. Raman spectroscopic study and identification of multi-period osteoarthritis of canine knee joint[J]. Applied Physics B, 2021, 127 (1): 1-9.
8.尚林伟, 尹建华. 软骨退变的显微荧光光谱研究[J]. 中国科技论文, 2016, 11(24): 2811-2815.
