Moamen Zaher β˜•οΈ
Moamen Zaher

Lecturer/Research Assistant

About Me

Moamen holds a Masters of Science (M.Sc.) in Software Engineering awarded from the Faculty of Computers and Artificial Intelligence (FCAI), Helwan University - Egypt. His research interests include Human Computer Interaction, Machine Learning, and Computer Vision. He published few publications in both journals and conferences. Moreover, He co-supervised numerous graduation projects which led to several conference publications. Beside +4 years of academic experience, Moamen has +3 years of industry experience working as a software engineer.

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Interests
  • Human Computer Interaction (HCI)
  • Multimodality
  • Machine Learning
  • AI in Healthcare
Education
  • M.Sc. in Software Engineering

    Faculty of Computers and Artificial Intelligence, Helwan University - Egypt

  • B.Sc. Software Engineering

    Faculty of Computers and Artificial Intelligence, Helwan University - Egypt

πŸ“š My Research

My research focuses on leveraging Human-Computer Interaction (HCI) techniques in medical healthcare to improve patient outcomes and enhance clinical processes. I have extensive experience in machine learning, deep learning, transfer learning, and attention models, which I apply to develop innovative solutions in the healthcare domain. My expertise also includes fusion techniques, time-series data analysis, signal processing, and computer vision, allowing me to tackle complex challenges in real-time human activity recognition and physical rehabilitation. By integrating advanced computational methods with HCI principles, I aim to create user-centered applications that support medical professionals and patients alike.

Please reach out to collaborate πŸ˜ƒ

Featured Publications
Recent Publications
(2024). Comparative Analysis of Movement Segmentation Techniques in Untrimmed Videos Using Optical Flow and Frame Differencing Using the $1 Unistroke Recognizer. 2024 Intelligent Methods, Systems, and Applications (IMSA).
(2024). Enhancing Brain Tumor Classification: A Comparative Study of Single-Model and Multi-Model Fusion Approaches. 2024 Intelligent Methods, Systems, and Applications (IMSA).
(2024). Enhancing Physical Therapy Through Transformer-Based Models: A Study on Exercise Classification. 2024 Intelligent Methods, Systems, and Applications (IMSA).
Recent & Upcoming Talks
Recent News

Successfully Defended Master's Thesis πŸŽ‰

I am thrilled to announce that I have successfully defended the my master’s thesis. My thesis explores the application of Human Activity Recognition (HAR) in the context of physical rehabilitation exercises, aiming to provide real-time feedback and assessment.

Teaching Assistant of the Year Award 2023/2024 πŸŽ‰

Moamen zaher was selected as the Teaching Assitant of the Year for the faculty of Computer Sciences at October University for Modern Sciences and Arts (MSA) for the academic year 2023/2024.