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.

Yuanshuo Bai | Antenna Design | Best Researcher Award

Published on by Electrical Engineering

Yuanshuo Bai | Antenna Design | Best Researcher Award

Associate Research Fellow | North Automatic Control Technology Institute | China

Dr. Yuanshuo Bai, Associate Research Fellow at the North Automatic Control Technology Institute, is a distinguished expert in optical fiber sensing, microwave photonics, and electronic warfare systems. She holds a B.E. in Electronic Science and Technology from Xidian University and a Ph.D. in Information and Communication Engineering from Shanghai Jiao Tong University, where her doctoral research advanced optical fiber sensing and microwave photonics with multiple high-impact publications. At her current institution, she leads and contributes to major projects in spectrum management and command control information systems, demonstrating strong leadership in defense-related scientific innovation. Her research has produced significant advancements, including the development of dual-wavelength FMCW distributed fiber strain measurement instruments and novel mechanisms for optical phase locking, supported by competitive NSFC grants. She has authored impactful journal papers in leading outlets such as Optics Letters and Photonics, and holds patents for pioneering technologies in multi-core fiber-based interferometry and vibration sensing. Recognized with a strong citation record, she actively contributes to the scientific community through collaborations, editorial engagements, and professional memberships, reflecting her commitment to advancing knowledge and practical solutions in her field. Her exemplary achievements, combined with her innovative research and leadership, make her a highly deserving candidate for international recognition.

Profile: ORCID

Featured Publications

Bai, Y.*, Remote Michelson interferometric phase sensor based on dual-core fiber transmission and linear phase demodulation. Opt. Lett., 2021, 46(23), 5782-5785.

Bai, Y.*, Remote vectorial vibration sensing based on locally stabilized Mach–Zehnder interferometers using multi-core fiber and optical phase-locking. Opt. Lett., 2023, 48(9), 2369-2372.

Bai, Y., High-Fidelity Long-Haul Microwave Photonic Links with Composite OPLLs and Multi-Core Fiber for Secure Command and Control Systems in Contested Environments. Photonics, 2025, 12(9), 893.

Mohammad Javad Safarpour | | Best Researcher Award

Published on by Electrical Engineering

Mohammad Javad Safarpour | Antenna Design | Best Researcher Award

RF and Microwave Researcher| Amirkabir University | Iran

Mohammad Javad Safarpour Ghadi is an accomplished RF and Microwave Researcher at Amirkabir University, specializing in advanced modeling, design, and testing of RF systems and devices. He holds a BSc from Shahid Beheshti University and an MSc from Amirkabir University with a focus on modeling and analyzing signal and noise in semiconductor devices. His professional experience includes developing and testing RF and microwave systems, notably the design of a 24 GHz transmitter and receiver module for automotive applications. His research centers on time-domain modeling and noise analysis of CRLH transmission lines, design and optimization of reconfigurable intelligent surfaces for 6G communication, and innovations in RF circuit modeling, metasurfaces, phased array antennas, and nonlinear photonics. He has contributed to industry-focused projects that bridge academic research with real-world technological advancements, delivering practical solutions for next-generation wireless communications. Recognized for his commitment to advancing RF and microwave engineering, he collaborates with leading experts such as Dr. Abdolali Abdipour and actively participates in professional research networks. His work continues to push the boundaries of communication system efficiency, paving the way for breakthroughs in high-frequency circuit design and 6G-enabled smart environments.

Profile: ORCID | Scopus

Featured Publications

Mohammad Javad Safarpour Ghadi*, Development of advanced RF and microwave systems for automotive radar applications. IEEE Trans. Microw. Theory Tech., 2024, Accepted.

Mohammad Javad Safarpour Ghadi*, Abdipour A., Time-domain modeling and noise analysis of CRLH transmission lines for next-generation communication systems. IEEE Trans. Circuits Syst. I, 2023, 70, 4567–4578.

Mohammad Javad Safarpour Ghadi*, Design and analysis of reconfigurable intelligent surfaces for 6G applications. IET Microw. Antennas Propag., 2023, 17, 1123–1135.

Mohammad Javad Safarpour Ghadi*, Development and testing of 24 GHz transceiver modules for automotive radar. Int. J. RF Microw. Comput. Aided Eng., 2022, 32, e23112.

Mohammad Javad Safarpour Ghadi*, Modeling of RF circuits and nonlinear photonic devices for high-frequency applications. J. Electromagn. Waves Appl., 2021, 35, 1452–1466.