Dr. Gaber Hassan | Internet of Things | Best Researcher Award

Dr. Gaber Hassan, Faculty of computers and information, Arish University, Egypt.

Dr. Gaber Hassan Alsayed Ahmed is an esteemed Egyptian academic and researcher in Computer Science, renowned for his work in artificial intelligence, image processing, and biomedical signal analysis. Born in Alakma, Hehia, Sharkia, he is currently a lecturer at the Faculty of Computers and Informatics, Al-Arish University. His professional journey reflects extensive academic engagement across multiple Egyptian institutions. With a career rooted in research, teaching, and program coordination, Dr. Gaber is actively shaping the next generation of technologists. He has authored impactful publications and presented at global conferences, contributing significantly to AI-driven healthcare technologies and intelligent systems.

Publication Profile

Google Scholar

🎓 Education Background

Dr. Gaber earned his Ph.D. in Computer Science from the Faculty of Science, Zagazig University in April 2021, focusing on advanced computational models and data-driven systems. His academic path began with a B.Sc. in Computer Science from the same university in 2007, where he graduated with honors. He later obtained a Master’s degree in Computer Science in April 2014. His solid academic foundation in discrete mathematics, programming, and AI has equipped him with versatile knowledge and practical expertise, supporting a career that integrates research with innovative teaching in areas like deep learning and pattern recognition.

🧑‍🏫 Professional Experience

Dr. Gaber has held diverse teaching and administrative positions since 2010. Currently serving at Al-Arish University, he previously coordinated the computer science program at Obour High Institute and lectured part-time at Suez University. From 2020–2022, he was both Director of the Quality Assurance Unit and lecturer at Sinai University. His earlier roles include assistant lecturer and teaching assistant positions across multiple faculties. Throughout his career, he has taught over 25 computer science and mathematics courses, mentored undergraduate and Ph.D. students, and organized workshops on bioinformatics and emerging technologies in computing.

🏆 Awards and Honors

Dr. Gaber has received multiple awards recognizing his academic and teaching excellence. In 2024, he earned a certificate for presenting two impactful papers at the 2nd ASRIC-OI’ Conference. He has completed elite courses like “Artificial Intelligence for Medicine” from the University of Genoa and AI training from Zewail City. His contributions to workshops, including those at Bibliotheca Alexandrina and Sinai University, have also earned certificates of appreciation. His accolades reflect his commitment to continuous learning and innovation in education, particularly in applying AI in healthcare and engineering domains.

🔬 Research Focus

Dr. Gaber focuses on artificial intelligence, biomedical image processing, signal compression, deep learning, and pattern recognition. His recent work involves detecting video forgeries using CNNs, deepfake identification, and developing intelligent systems for health applications. His contributions integrate advanced algorithms like quaternion and orthogonal moments for bio-signal enhancement. He actively supervises research on topics like deep learning applications and mobile solutions for the visually impaired. His vision blends real-world problem-solving with computational intelligence, making his research both academically rigorous and practically impactful across medicine, security, and smart devices.

📌 Conclusion

In conclusion, Dr. Gaber Hassan Alsayed Ahmed stands as a dedicated academic and researcher shaping the fields of artificial intelligence and computer science education in Egypt. His teaching excellence, innovative research, and interdisciplinary applications set him apart as a leader in modern computing. With a strong publication record and involvement in national and international academic events, Dr. Gaber is committed to leveraging AI for societal advancement. His dynamic career exemplifies the fusion of pedagogy, research, and community service—making him a valuable contributor to the academic and scientific communities.

📚 Publication Top Notes

1. Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
   🔗 Fractal and Fractional, 2025
   📅 Year: 2025 | Cited by: [4+ articles on Google Scholar]
   📘 Journal: Fractal and Fractional

2. Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
   🔗 Fractal and Fractional, 2023
   📅 Year: 2023 | Cited by: [6+ articles on Google Scholar]
   📘 Journal: Fractal and Fractional

3. Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
   🔗 IEEE Access, 2023
   📅 Year: 2023 | Cited by: [5+ articles on Google Scholar]
   📘 Journal: IEEE Access

4. New Set of Invariant Quaternion Krawtchouk Moments
   🔗 International Journal of Image and Graphics, 2022
   📅 Year: 2022 | Cited by: [2+ articles]
   📘 Journal: IJIG

5. Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
   🔗 IEEE Access, 2020
   📅 Year: 2020 | Cited by: [17+ articles]
   📘 Journal: IEEE Access

6. Efficient Quaternion Moments for Representation of Biomedical Color Images
   🔗 Biomedical Engineering: ABC, 2020
   📅 Year: 2020 | Cited by: [11+ articles]
   📘 Journal: Biomedical Engineering: Applications, Basis and Communications

7. Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
   🔗 ESTIJ, 2013
   📅 Year: 2013 | Cited by: [3+ citations]
   📘 Journal: Engineering Science and Technology: An International Journal

8. Mathematical Modeling and Classification of Viruses from Herpesvirus Family
   🔗 IJCA, 2014
   📅 Year: 2014 | Cited by: [8+ citations]
   📘 Journal: International Journal of Computer Applications