Assist. Prof. Dr. Mohamed Badawy | Antenna | Best Researcher Award

Published on by Electrical Engineering

Assist. Prof. Dr. Mohamed Badawy | Antenna | Best Researcher Award

Ass. Professor | Faculty of computer Science and Engineering | Egypt

Dr. Mohamed Badawi Farid is an Assistant Professor of Artificial Intelligence at the Faculty of Computer Science and Engineering, King Salman International University, recognized for his interdisciplinary expertise bridging mechanical engineering and advanced AI systems. He holds a Ph.D. in Mechanical Engineering with specialization in machine learning and neural networks, along with M.Sc. and B.Sc. degrees in Mechanical Engineering from Alexandria University, where he graduated with honors. His academic career includes faculty roles across King Salman International University, Misr University for Science and Technology, Alexandria University, and the Arab Academy, in addition to leading the Artificial Intelligence & Data Science track in a national digital transformation initiative and mentoring AI certification programs. Dr. Badawi’s research focuses on artificial intelligence, deep learning, intelligent robotics, biomedical applications, and smart systems, contributing impactful publications on neural networks, autonomous robotics, medical imaging, and intelligent control systems in reputable journals and international conferences. He has served as a reviewer for leading journals and conferences and has been recognized through multiple certificates of appreciation for academic judging, technical committee participation, and innovation excellence. Through his supervision of advanced projects in healthcare technology, defense robotics, and sustainable intelligent systems, he is shaping future talent and advancing the frontiers of transformative technologies. He has a Scopus record reflecting 28 citations, 7 indexed documents, and an h-index of 3.

Profile: Scopus

Featured Publications

Badawi M.B.*, Next-Gen wireless unleashed: Coplanar waveguide antennas on glass for 5G and beyond. AEU-International Journal of Electronics and Communications, 2025, 156055.

Badawi M.B.*, Thermo-hydrodynamic analysis of plain journal bearings: comparative study of ionic liquids and conventional oil lubricants. Thermal Science and Engineering Progress, 2025, 103919.

Badawi M.B.*, Intelligent control of air combat maneuvers using fuzzy logic. ICMRE (IEEE), 2025, pp. 319-326.

Badawi M.B.*, Deep learning-based pneumonia detection using chest X-ray images. International Journal of Telecommunications, 2025, 5(1), 1-16.

Dr. Mohamed El Bakkali | Antenna Design & RF Systems | Best Paper Award

Published on by Electrical Engineering

Dr. Mohamed El Bakkali | Antenna Design & RF Systems | Best Paper Award

Doctor of Science | University Mohammed V in Rabat | Morocco

Dr. Mohamed El Bakkali is a distinguished researcher and antenna engineer affiliated with Mohamed V University in Rabat and Chouaib Doukkali University in El Jadida, Morocco. He holds a PhD in Physics (Telecommunications) from Sidi Mohamed Ben Abdellah University and advanced degrees in Physics with specializations in control, signals, and systems. An internationally recognized pioneer in CubeSat antenna design, he authored the first academic thesis introducing planar antennas with parasitic elements and metasurfaces for 3U CubeSat missions. Dr. El Bakkali leads a multinational research network of professors, IEEE fellows, and doctoral researchers collaborating across Europe, Asia, and Africa on CubeSat and IoT antenna development. His research spans metamaterial antennas, deep space communication, aerospace systems, and RF optimization, resulting in numerous publications in high-impact journals and Scopus-indexed books with Springer and Taylor & Francis. A peer reviewer for MDPI journals such as Sensors, Electronics, Aerospace, and Applied Sciences, he also serves on multiple technical and program committees for IEEE and international conferences including AIC, CIS, and SENSORCOMM. Dr. El Bakkali has received certificates of excellence as Session Chair, Reviewer, and Best Paper Awardee in antenna design, and is recognized for his contributions to advancing space communication technologies and mentoring the next generation of antenna scientists. His research record includes 95 citations, 37 publications, and an h-index of 5.

Profile: Scopus

Featured Publications

Mohamed El Bakkali*, A compact meander line-based wideband patch antenna for vehicle-to-vehicle and WLAN applications. Measurement, 2025, 256(Part C), 118295.

Mohamed El Bakkali*, Fully integrated high gain S-band triangular slot antenna for CubeSat communications. Electronics, 2021, 10(2), 156.

Mohamed El Bakkali*, Air-gap reduction and antenna positioning of an X-band bow tie slot antenna on 2U CubeSats. J. Appl. Eng. Technol. Sci., 2024, 6(1), 86–102.

Mohamed El Bakkali*, Design, fabrication and measurements of a single-layer X-band miniaturized patch antenna with metasurface for 0.5U and 1U CubeSat missions. J. Nano- Electron. Phys., 2025, 17(3), 03002.

Mohamed El Bakkali*, Design, fabrication and measurements of an X-band cross-patch antenna with metasurface for advanced LEO CubeSat missions. J. Nano- Electron. Phys., 2025, 17(3), 03007.