姓名：孟頔
职称：讲师
E-mail：dm@ahut.edu.cn
主要研究方向：生物识别技术，计算机视觉
个人简介：
孟頔，女，博士，硕士导师，中国人工智能学会会员。2015年毕业于香港浸会大学，获硕士学位。2021年毕业于英国南安普顿大学计算机科学专业，获博士学位。近年来主持和参与多个省部级科研项目。与国内外多所医院、英国南安普顿大学、英国国家海洋中心等均有合作。
所授课程：
《数据挖掘》、《机器学习》、《人工智能基础》等
代表性成果：
Tang, Z., Mahmoodi, S., Meng, D., Darekar, A., & Vollmer, B. (2024). Rule-based deep learning method for prognosis of neonatal hypoxic-ischemic encephalopathy by using susceptibility weighted image analysis. Magnetic Resonance Materials in Physics, Biology and Medicine, 37(2), 227-239.
Di Meng, Mark S. Nixon; Sasan Mahmoodi; Gender and Kinship by Model-Based Ear Biometrics, 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany.
Di Meng, Mark S. Nixon; Sasan Mahmoodi; On Distinctiveness and Symmetry in EarBiometrics, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021, 3(2): 155- 165
Di Meng; Sasan Mahmoodi; Mark S. Nixon; Which Ear Regions Contribute to Identification and to Gender Classification?, 2020 8th International Workshop on Biometrics and Forensics (IWBF), Porto, Portugal.
软著：Meng, D., Nixon, M.S. and Mahmoodi, S., 2020. Ears as a biometric and identity science. In, Jajodia, Sushil, Samarati, Pierangela and Yung, Moti (eds.) Encyclopedia of Cryptography, Security and Privacy. Third ed. Springer.
备注：
欢迎对生物特征识别及医学图像处理方向感兴趣的同学与我联系。提供良好的科研环境与深入的学术指导，支持学生参加国内外学术交流。
