Wael Badawy | Data Science | Pioneer Researcher Award

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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.

Rui Miao | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Rui Miao |  Artificial Intelligence | Best Researcher Award

Associate Researcher at Zhejiang Lab, China

Dr. Rui Miao is an Associate Researcher at Zhejiang Lab, specializing in artificial intelligence and image processing. He earned his Ph.D. in Engineering from Beihang University in 2022 and began postdoctoral research the same year, focusing on multi-modal cross-domain image enhancement for intelligent navigation systems across air, land, and water. Dr. Miao has led or participated in 7 research projects, published in top-tier journals such as IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition, and holds 28 patents (published or pending). His work contributes significantly to intelligent visual systems and applied AI.

Profile:

👨‍🎓 Academic Background

Dr. Rui Miao earned his Ph.D. in Engineering from Beihang University in 2022. He is currently an Associate Researcher at Zhejiang Lab, China.

🧠 Research Focus

His work explores cutting-edge areas such as:

  • Multimodal Image Processing

  • AI-based Image Generation & Matching

  • Visual Enhancement for Intelligent Systems

  • Model Inference Acceleration

🧪 Research Contributions

Dr. Miao has contributed to 7 major research projects and published impactful papers in top-tier journals like:

  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)

  • Pattern Recognition (PR)

🔬 Innovations & Patents:

He has filed or published 28 patents, focusing on advanced image enhancement algorithms tailored for cross-domain AI perception systems used in air, land, and water navigation.

📚 Publications & Recognition:

While still early in his academic journey, Rui’s innovative work has already gained visibility in the scientific community, although citation metrics and editorial roles are still forthcoming.

Publication:

“Attention-Guided Progressive Frequency-Decoupled Network for Pan-Sharpening”
IEEE Transactions on Geoscience and Remote Sensing, 2024.
DOI: 10.1109/TGRS.2024.3376730
Authors: Rui Miao, Hang Shi, Fengguang Peng, Siyu Zhang