MOHAMMED MOHAMMED AMEEN ABDULHAMEED 师资博士后
研究方向：
城市交通基础设施运行状态评估与预测
工作经历：
2023.09-2024.04，伊拉克学校建设项目，兼职现场工程师兼项目管理员
2022.02-2023.02，在华也门留学生会学术委员会负责人
2021.10-2022.10，在华也门学生会（长沙市学生会主席）
期刊论文：
Mohammed Ameen Mohammed, Zheng Han, and Yange Li. “Enhanced pavement crack segmentation with minimal labeled data: a triplet attention teacher-student framework.” International Journal of Pavement Engineering, 2024,25(1):2400562.
Mohammed Ameen Mohammed, Zheng Han, Yange Li, Zaid Al-Huda, Changli Li, and Weidong Wang "End-to-end semi-supervised deep learning model for surface crack detection of infrastructures." Frontiers in Materials 9 (2022): 1058407.
Mohammed Ameen Mohammed, Zheng Han, and Yange Li. “Exploring the detection accuracy of concrete cracks using various CNN models.” Advances in Materials Science and Engineering (2021): 9923704.
Mohammed Ameen Mohammed, Zheng Han, Yange Li, Zaid Al-Huda and Weidong Wang. “Low-computational-cost image segmentation of pavement cracks using Triplet Attention Fusion-enhanced UNet model.” Journal of Computing in Civil Engineering, (Minor revision - under review).
Mohammed Ameen Mohammed, Zheng Han, Yinfei Du, Yange Li, Zaid Al-Huda and Weidong Wang. “Integrated Pavement Assessment through Crack Segmentation, Measurement, and Mapping with Limited Labeled Data.” International Journal of Pavement Engineering, (Minor Revision- under review). (SCI, JCR-Q1).
Changli Li, Yange Li, Zheng Han, Yinfei Du, Mohammed Ameen Mohammed, Weidong Wang, and Jianling Huang. "A novel multiphase segmentation method for interpreting the 3D mesoscopic structure of asphalt mixture using CT images." Construction and Building Materials 327 (2022): 127010.
