Dr. Ebrahim Elsayed | Communications | Best Researcher Award

Assistant Professor, Mansoura University Faculty of Engineering, Egypt

Ebrahim Elsayed is a dedicated researcher and Ph.D. candidate in Electronics and Communications Engineering (ECE) at the Faculty of Engineering, Mansoura University, Egypt. He is recognized for his extensive work in the field of optical and wireless communication systems, particularly in Free Space Optics (FSO), VLC, UWOC, RoFSO, and hybrid RF/FSO technologies. With a strong foundation in engineering and a passion for advanced communication technologies, Ebrahim has made impactful contributions through over 30 peer-reviewed publications in reputed international journals.

Publication Profile

Google Scholar

🎓 Education Background:

Ebrahim earned his B.Eng. (Hons.) degree in Electronics and Communications Engineering from Misr Higher Institute for Engineering and Technology, Egypt, in May 2012. He pursued a Postgraduate Diploma (PgDip.) in Engineering Applications of Lasers from the National Institute of Laser Enhanced Sciences (NILES), Cairo University in May 2017. In 2018, he completed his Master of Engineering (M.Eng.) in Electrical Communications Engineering at Mansoura University with First-Class Honors and a Dean’s Commendation. Currently, he is pursuing a Ph.D. in ECE at the same institution, focusing on hybrid MIMO-RF/FSO communication systems.

🧑‍💼 Professional Experience:

Since November 2020, Ebrahim has been serving as a Ph.D. Researcher in the Department of ECE, Faculty of Engineering, Mansoura University. Alongside his research, he has been actively involved in scholarly services, including peer-review activities for prominent journals like IEEE Access, IEEE Communications Letters, IEEE Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE OJCOMS, and several MDPI journals such as Sensors, Photonics, and Electronics. He also contributes to Springer Nature and Wiley’s academic communities.

🏆 Awards and Honors:

Ebrahim Elsayed has been honored with several prestigious recognitions, including the 2024 IEEE Photonics Journal Outstanding Reviewer Award and the IEEE Communications Society Distinguished Honor – 2024 Exemplary Reviewer Award. He was also listed as a 2024 Highly Ranked Scholar in performance-enhancing substance research by ScholarGPS. These accolades reflect his dedication to academic excellence and his reputation in the scientific community.

🔬 Research Focus:

His primary research interests include optical communications, free-space optics (FSO), optical wireless communication systems (VLC, UWOC), photonics, microwave systems, MIMO, and hybrid RF/FSO systems. His M.Sc. thesis focused on the modeling and enhancement of DWDM systems in FSO environments. In his Ph.D., he is developing adaptive modulation techniques for hybrid MIMO-RF/FSO communication systems. His technical skills span modeling, simulation, system design, and performance analysis of advanced communication networks.

📌 Conclusion:

Ebrahim Elsayed is an emerging scholar in next-generation communication systems with a robust publication record and numerous academic honors. Through his research, academic service, and collaborations, he continues to contribute significantly to the advancement of optical and wireless communication technologies in both theoretical and practical dimensions.

📚 Top Publications Notes:

Comprehensive analysis of Cubesat electrical power systems for efficient energy management – Discover Energy, 2025
Cited by: 5 articles (as of April 2025)

A comprehensive performance analysis of MIMO-RF/FSO hybrid communication system over Málaga-M fading channels – IEEE Access, 2023
Cited by: 45 articles

Performance enhancement of free-space optical communication systems using WDM and adaptive optics – Optical and Quantum Electronics, Springer, 2022
Cited by: 32 articles

Hybrid FSO-RF system using relay selection and adaptive modulation techniques – Computer Networks, Elsevier, 2022
Cited by: 60 articles

BER analysis of a WDM-FSO communication system under turbulence using ML detection – Photonics, MDPI, 2021
Cited by: 38 articles

Analysis and modeling of FSO channel under haze and fog weather conditions – IEEE Communications Letters, 2021
Cited by: 51 articles

MIMO techniques in optical wireless communications: A comparative study – Optik, Elsevier, 2020
Cited by: 80 articles

Dr. Xiaoping Yang | Network Communication | Best Researcher Award

Researcher, Beijing University of Technology, China

🎓 Dr. Xiaoping Yang is a dedicated researcher in computer science with expertise in distributed systems, wired and wireless networking, machine learning systems, and the Internet of Things (IoT). She is currently pursuing her Ph.D. at the Beijing University of Technology, focusing on cutting-edge technologies like heuristic algorithms, deep reinforcement learning, 6G networking, and recommendation systems. With a strong academic foundation and extensive professional experience, Dr. Yang is making significant contributions to cloud-edge cooperation and intelligent offloading technologies. 🌐

Education

📚 Dr. Yang holds a Ph.D. in Computer Science and Technology (2022–Present) from the Beijing University of Technology. She also earned an M.S. in Software Engineering (2017–2020) from the same university and a B.E. in Computer Science and Technology (2013–2017) from Hebei University of Architecture and Engineering. Her academic journey reflects her unwavering commitment to excellence. 🏅

Professional Experience

💻 Dr. Yang worked as a Software Engineer at ByteDance (TikTok) in 2022, where she contributed to developing data governance systems and performing in-depth data analysis. Prior to this, she served as a Software Engineer at Kuaishou Technology (2020–2022), focusing on data tracking, storage, cleansing, and analysis. Her industry expertise underscores her ability to bridge research and real-world applications. 🚀

Awards and Honors

🏆 Dr. Yang’s accolades include being recognized as an Outstanding Graduate at the Provincial Level (Hebei Province, 2017) and winning First and Second Prizes in the Hebei Provincial Competition of the 8th China Computer Design Contest. Additionally, she received an Academic Scholarship for the 2022 Academic Year during her Ph.D. studies at the Beijing University of Technology. 🌟

Research Focus

🔍 Dr. Yang’s research interests span distributed systems, heuristic algorithms, deep reinforcement learning, mobile edge computing, 6G networking, edge caching, and deep learning-based recommendation systems. Her innovative contributions, especially in cloud-edge cooperation networks, reflect her commitment to advancing next-generation technologies. 🤖

Publications

Task Partition-Based Intelligent Offloading for Cache-Assisted Cloud-Edge Cooperation Networks. GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023. [Cited by: N/A]

Task partition-based computation offloading and content caching for cloud–edge cooperation networks. Symmetry 16.7 (2024): 906. [Cited by: N/A]

Intelligent Task Offloading for Caching-Assisted UAV Networks. 2024 5th Information Communication Technologies Conference (ICTC). IEEE, 2024. [Cited by: N/A]

DRL-Based Green Task Offloading for Content Distribution in NOMA-Enabled Cloud-Edge-End Cooperation Environments. ICC 2023-IEEE International Conference on Communications. IEEE, 2023. [Cited by: N/A]