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Prof. Wael Badawy | Data Science | Pioneer Researcher Award

Head of Data science Department | Egyptian Russian University | Egypt

Prof. Wael Badawy, Ph.D., P.Eng., SFAHE, SIEEE, SACM, is a distinguished academic, researcher, engineer, and business leader with over twenty-eight years of international experience spanning academia, research, innovation, and technology commercialization. He has served in key academic and executive positions, including Executive Director of ABM College in Canada, Professor at several universities in Egypt, the United Kingdom, and Canada, and Adviser for Innovation and Entrepreneurship at Umm Al Qura University in Saudi Arabia. His expertise encompasses cybersecurity, artificial intelligence, computer engineering, information technology management, and digital transformation. Prof. Badawy has authored more than four hundred scientific publications, thirty-four patents, and over fifty books and proceedings, and has delivered numerous invited lectures and tutorials worldwide. Recognized with over ninety national and international awards, including distinctions from IEEE, Alberta Venture, the Global Business Leaders Magazine, and the QS Reimagine Education Awards, he has played a pivotal role in establishing and accrediting educational programs, serving on technical and quality assurance committees, and leading initiatives for national research and innovation strategies. As a Senior Fellow of the Advanced Higher Education and a Professional Engineer in Canada, Prof. Badawy continues to advance research excellence, technological innovation, and higher education development through visionary leadership, mentorship, and global collaboration.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Badawy, W. (2025). The ethical implications of using children’s photographs in artificial intelligence: Challenges and recommendations. AI and Ethics, 5(2).

Maged, S., Mohamed, A., & Badawy, W. (2025, May 10). Audiogram-based tinnitus detection using deep learning: A comparative study of CNN architectures. In Proceedings of ICMISI 2025. IEEE.

Elnady, N., Adel, A., & Badawy, W. (2025, May 10). Enhancing kidney stone detection using YOLOv9: A deep learning approach. In Proceedings of ICMISI 2025. IEEE.

Elnady, N., Adel, A., & Badawy, W. (2025, April 13). Advancing brain tumor detection with YOLOv9: A comprehensive evaluation. In Proceedings of ICCIT 2025. IEEE.

Soliman, S. S., Abd El-Samie, F. E., Abd El-atty, S. M., Badawy, W., & Eshra, A. (2025). DNA nanotechnology for cell-free DNA marker for tumor detection: A comprehensive overview. Nucleosides, Nucleotides & Nucleic Acids, 44(4), 233–249.

Wael Badawy | Data Science | Pioneer Researcher Award

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