Biography
Hesham is a research assistant at Nile University, working on medical image data and deep learning applications in the medical field. He is currently a Masters's student in the Information technology department. Through his research and master's courses, he worked in many deep learning-related areas like self-supervision, transfer learning, semi-supervised learning, label propagation, domain adaptation, and also computer vision algorithms which he used to build computer vision real systems.
Achievements
- 2 published conference papers at Medical Image Understanding and Analysis 2022 (MIUA 2022) and MEDI22.
Activities
- UGRF jury
- MEDI organizer
- Reviewer at NILES conference
Research Tracks
- Deep Learning
- Computer Vision
- Medical Imaging