University of Missouri-Columbia - United States
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS
Mohamed Almansour began his academic journey at Alexandria University, where he earned his Bachelor's degree in Computer and Systems Engineering with a thesis focused on predicting sub-populations using Single-Nucleotide Polymorphisms (SNPs). He continued his education at the University of Missouri, obtaining a Master's degree in Computer Science with a specialization in AI and Machine Learning.
PROFESSIONAL ENDEAVORS
Mohamed's professional experience spans various domains, including academia and industry. He served as an Instructor at Alexandria University, where he taught courses in programming, data structures, statistics for computing, and digital logic design. Additionally, he worked as a Graduate Fellow at the University of Missouri, conducting research in computer vision, deep learning, and medical imaging. He also gained industry experience as a Software Engineer at Bloomberg LP and Siemens Healthcare.
CONTRIBUTIONS AND RESEARCH FOCUS
Mohamed's research primarily focuses on computer vision, deep learning, and medical image analysis. He has contributed to several publications and conferences, addressing topics such as high-resolution MRI brain inpainting, transportation mode choice models, and neonatal HIE segmentation. His work demonstrates a commitment to advancing knowledge and solving real-world problems in these fields.
IMPACT AND INFLUENCE
Through his research and professional endeavors, Mohamed has made a significant impact on the academic and industrial communities. His contributions to the BONBID-HIE Lesion Segmentation Challenge, where he ranked first, highlight his expertise and influence in the field of medical imaging analysis.
ACADEMIC CITES
Mohamed's publications have been well-received in the academic community, with citations in prominent conferences and journals. His research output underscores the relevance and significance of his work in areas such as biomedical informatics and transportation engineering.
LEGACY AND FUTURE CONTRIBUTIONS
As Mohamed continues his academic and professional journey, his legacy in computer science and engineering is poised to grow. His future contributions are expected to further advance the fields of computer vision, deep learning, and medical imaging analysis, addressing critical challenges and driving innovation in these domains.
NOTABLE PUBLICATION
Sensitivity evaluation of machine learning-based calibrated transportation mode choice models: A case study of Alexandria City, Egypt 2024