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.

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.