Scholar
Mohamed Elkhayat
Google Scholar ID: xrh9r0QAAAAJ
AI Researcher at Siemens
Citations & Impact
Citations
2
H-index
1
i10-index
0
Publications
1
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- First author, MICCAI MSB EMERGE 2025 (Oral), proposed an exemplar-free, zero-forgetting continual learning framework using frozen foundation models with lightweight MLPs or zero-training nearest-mean classifiers for dermatology, achieving state-of-the-art accuracy.
Research Experience
- AI Research Intern at Siemens EDA, improved and re-designed an AI-powered automated software testing platform; Applied Data Science Trainee at WorldQuant University, completed eight end-to-end, applied data science projects.
Education
- Bachelor's Degree of Computer Engineering (GPA 3.5/4), Cairo University Faculty of Engineering, Oct 2020 - July 2026
Background
- A Computer Engineering student at Cairo University with a strong interest in AI research and applied machine learning. Work spans Natural Language Processing, Computer Vision, and Multi-Agent Systems.
Miscellany
- Skills include Python, C++, Java, and proficiency with tools such as Pytorch, Tensorflow, Langchain, etc.
