Dr. Majdi Al-qdah | Information Security & E-Learning Systems | Best Paper Award

Professor at University of Hafr Al batin, Saudi Arabia

Dr. Majdi Al-Qdah is an academic researcher and educator with a Ph.D. in Computer Systems Engineering. He is affiliated with the University of Hafr Al-Batin, where he plays an active role in both teaching and research. With a career centered on the intersection of computer science and healthcare technology, Dr. Al-Qdah has developed a specialized expertise in medical image processing and cybersecurity. He is also recognized for his contributions to education through course design and student engagement in advanced topics in computing and health informatics.

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Education

Dr. Al-Qdah earned his Ph.D. in Computer Systems Engineering, establishing a strong foundation in complex computing environments and systems architecture. His academic journey enabled him to delve deeply into emerging technologies, algorithmic design, and healthcare data security, laying the groundwork for his later innovations in cryptography and medical data processing.

Experience

Over the years, Dr. Al-Qdah has accumulated extensive experience in both academic and practical settings. At the University of Hafr Al-Batin, he has been instrumental in designing and delivering courses such as healthcare data analysis, privacy and security of health information, multimedia systems, and computer networks. His academic portfolio highlights his ability to blend theoretical knowledge with hands-on application, equipping students with the skills necessary for real-world challenges. His experience also spans collaborative research projects, supervision of graduate students, and participation in international conferences on image processing and information technology.

Research Interest

Dr. Al-Qdah’s research focuses on several key areas in the domain of computer systems and medical informatics. He is particularly interested in encryption and decryption techniques for medical images and signals, spatial and frequency domain watermarking methods, and data hiding for secure image communication. Additionally, he has explored the integration of blockchain technology into electronic medical records, aiming to enhance the privacy and integrity of healthcare information systems. His innovative approaches have addressed vital concerns in the medical imaging and cybersecurity fields, contributing to safer digital health infrastructures.

Award

Dr. Al-Qdah’s body of work and scholarly activity—evident from his publication record and active participation in international conferences—reflects professional recognition within his academic community. His consistent presence in peer-reviewed journals and indexed proceedings signifies acknowledgment by his peers and ongoing contributions to the field.

Publication

Dr. Al-Qdah has published a diverse range of scholarly works addressing medical image security, watermarking, and system optimization. Selected publications include:

1. Intrusion detection in networks using crow search optimization algorithm with adaptive neuro-fuzzy inference system, published in Microprocessors and Microsystems, Volume 79, 2020, cited by studies on network security optimization.

2. Eigenvalues of Self Complementary and Compound Magic Squares with an Application in Image Cryptography, presented at the 10th International Conference on Information Technology (ICIT2021), contributing to cryptographic applications in image processing.

3. Hybrid Security System Based on Bit Rotation and Chaotic Maps, published in Current Signal Transduction Therapy, Volume 14, 2019, widely cited in encryption technique comparisons.

4. DWT-CT image watermarking algorithm with shuffling and circular rotation of bits, featured in Advances in Intelligent Systems and Computing, Volume 843, 2019, recognized in medical watermarking literature.

5. Comparing Online and Paper Exams: Performances and Perceptions of Saudi Students, published in International Journal of Information and Education Technology, Volume 7, No. 2, 2017, influencing studies on educational technologies.

6. Hybrid Security System based on Wavelet Domain Watermarking and Chaotic Map Cryptography, published in International Journal of Computer Applications, Volume 110, No. 13, 2015, cited in cryptographic method research.

7. Fast and Secure Image Hiding Scheme Based on Cryptographic Techniques, published in the Journal of Emerging Trends in Computing and Information Sciences, Volume 4, No. 2, 2013, frequently referenced in image hiding schemes.

Conclusion

In summary, Dr. Majdi Al-Qdah’s career exemplifies a commitment to advancing the intersection of computer science and healthcare security. His academic contributions span cutting-edge encryption techniques, secure medical image processing, and emerging data technologies such as blockchain. With a rich background in education and a strong publication record, he remains a vital contributor to both scientific research and academic instruction. His work continues to impact the development of secure, efficient, and intelligent systems in the digital healthcare domain.