Mr. Hung Tran | Antenna | Best Researcher Award

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Mr. Hung Tran | Antenna | Best Researcher Award

Sejong University, South Korea

Dr. Huy Hung Tran is a distinguished researcher in antenna design and electromagnetic wave applications, with expertise in MIMO, reconfigurable, and metasurface-based antennas. Born in Hanoi, Vietnam, he has built an impressive academic and professional career, contributing significantly to the fields of telecommunications and 5G technology. Currently, he is a faculty member at Phenikaa University, Vietnam, where he continues his groundbreaking research in next-generation wireless communication systems.

Publication Profile

Google Scholar

📚 Academic Background

Dr. Tran earned his Ph.D. in Electronics and Electrical Engineering from Dongguk University, Korea (2017–2020), focusing on polarization-reconfigurable and omnidirectional antennas. Prior to this, he obtained his Master’s degree in Electrical and Computer Engineering from Ajou University, Korea (2013–2015), where he specialized in wideband circularly polarized resonant cavity antennas. His undergraduate studies at Hanoi University of Science and Technology (2008–2013) laid the foundation for his expertise in satellite and GPS antenna design.

🏆 Professional Experience

Dr. Tran has extensive research experience in antenna technology. Since 2020, he has been working at Phenikaa University, Vietnam, researching MIMO and reconfigurable antennas. Previously, he was a key researcher at the Electromagnetic Wave Application Lab at Dongguk University, Korea (2017–2019), contributing to the development of metasurface antennas and circularly polarized designs. His earlier work at Ajou University’s Microwave and THz Communication Lab (2013–2016) focused on RFID antennas and beam-steering arrays.

🎖 Awards and Honors

Dr. Tran has received multiple recognitions for his contributions to antenna technology. His research has been published in prestigious journals like IEEE Access and Electronics, highlighting his innovative work in compact, high-isolation MIMO antennas. His expertise in antenna design has positioned him as a leading researcher in Vietnam’s growing telecommunications sector.

🔬 Research Focus

Dr. Tran’s research revolves around the theoretical and practical aspects of electromagnetic wave propagation and antenna radiation in advanced materials. His primary areas of interest include reconfigurable antennas, MIMO systems, compact antennas for mobile applications, and 5G technology. He also specializes in metasurface-based antenna design, enhancing bandwidth, gain, and polarization control.

✨ Conclusion

Dr. Huy Hung Tran is a passionate researcher dedicated to advancing antenna and wireless communication technology. His work in high-performance antenna design is shaping the future of telecommunications, making significant contributions to next-generation networks. His expertise and innovative approach continue to influence the academic and industrial sectors in Vietnam and beyond.

📖 Top Publications

Coupling Reduction of Extremely Closely Spaced Circularly Polarized MIMO Patch Antenna by Phase Shift Method (IEEE Access, 2023) – Read here

A Metasurface-Based MIMO Antenna with Compact, Wideband, and High Isolation Characteristics for Sub-6GHz 5G Applications (IEEE Access, 2023) – Read here

A Flexible and Bandwidth Reconfigurable Antenna for Cognitive Communication (IEEE Access, 2023) – Read here

A Compact Metasurface-Based Circularly Polarized Antenna with High Gain and High Front-to-Back Ratio for RFID Readers (PLOS ONE, 2023) – Read here

Two Closely Spaced Microstrip Patches with High Isolation for Full-Duplex/MIMO Applications (PLOS ONE, 2023) – Read here

Circularly Polarized MIMO Antenna Based on Microstrip Patch and Metasurface Structures (Electronics, 2023) – Read here

A Design of MIMO Antenna with High Isolation and Compact Size Characteristics (IEEE Access, 2023) – Readhere

ELHADJ MOUSTAPHA DIALLO | wireless communication | Best Researcher Award

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Mr. ELHADJ MOUSTAPHA DIALLO | wireless communication | Best Researcher Award

Ph.D student candidate, Chongqing university of posts and telecommunications, China

Elhadj Moustapha Diallo is a dedicated researcher and engineer specializing in Information and Communication Engineering 📡. With extensive experience in telecommunications, signal processing, and network optimization, he has contributed significantly to cutting-edge advancements in energy-efficient resource allocation, UAV-enabled networks, and deep learning applications in wireless systems. His expertise spans both academia and industry, having worked with top organizations such as Transsion, Huawei, and MTN. His research has been widely recognized, leading to multiple publications in prestigious IEEE conferences and journals 📖.

Publication Profile

🎓 Education

Elhadj Moustapha Diallo is currently pursuing his Ph.D. in Information and Communication Engineering at Chongqing University of Posts and Telecommunications, China (2021-2025) 🎓. He previously earned a Master’s degree in the same field (2018-2021) and holds a Bachelor’s degree in Telecommunications from the University Nongo Conakry, Guinea (2012-2021) 📡. His academic journey is marked by strong expertise in wireless communications, artificial intelligence applications, and optimization techniques in modern telecommunication systems.

💼 Experience

With a solid background in both research and industry, Diallo has served as an Image Evaluation Engineer at Transsion Company in China, where he specialized in image analysis and mobile camera evaluation 📷. His research work at the Chongqing Key Laboratory of Signal and Information Processing focused on 5G mobile communications, resource allocation, and IoT networks 🌍. Prior to that, he gained valuable experience in IT support, network engineering, and telecommunications at MTN, Huawei Technology Training Center, and Contact Center International 🔧.

🏆 Awards and Honors

Elhadj Moustapha Diallo has been recognized for his contributions to communication engineering, particularly in energy-efficient wireless networks 🏅. His research has been accepted at high-profile IEEE conferences, and he has actively collaborated with leading experts in the field. His achievements in optimizing telecommunication systems using deep learning and UAV-assisted networks have positioned him as an emerging expert in wireless technologies 🚀.

🔬 Research Focus

Diallo’s research interests include energy-efficient resource allocation, UAV-enabled networks, deep learning for wireless communications, and optimization techniques for 5G and beyond 📶. His studies explore novel approaches such as deep unfolding mechanisms, generative models for multi-carrier NOMA networks, and long-term energy consumption minimization for UAV-assisted content fetching. His innovative contributions are shaping the future of next-generation communication systems 🌎.

🔍 Conclusion

Elhadj Moustapha Diallo is a highly skilled researcher and telecommunications engineer whose contributions to energy-efficient wireless networks and advanced communication technologies have earned him recognition in academia and industry 🌟. His extensive research, publications, and practical experience make him a key innovator in the field of 5G, AI-driven optimization, and UAV-assisted networking. With a strong foundation in both theory and practice, Diallo continues to push the boundaries of next-generation communication systems 📡🚀.

📜 Publications

Energy Efficient Resource Allocation and Mode Selection for Content Fetching in Cellular D2D Networks (2021) – IEEE Wireless Telecommunications Symposium (WTS) 📡.

Content Fetching Delay Optimization-Based Caching and Resource Allocation for UAV-Enabled Networks (2024) – IEEE Access 🚀.

Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms (2024) – arXiv Preprint 📶.

Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks (2024) – Accepted at IEEE 10th International Conference on Computer and Communications (ICCC 2024) 📊.

OHDRL-Based Energy Consumption Optimization for Joint Content Fetching and Trajectory Design of UAVs (2024) – Accepted at IEEE 29th Asia Pacific Conference on Communications (APCC) 🚁.

Long-Term Energy Consumption-Minimization-based Joint Content Fetching and Trajectory Design of UAVs – Under review in Computer Communications 🛰️.

Xiaoping Yang | Network Communication | Best Researcher Award

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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. 🌐

Publication Profile

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. 🤖

Conclusion

🌟 Dr. Xiaoping Yang is a passionate academic and professional, making meaningful strides in computer science research and applications. Her exceptional academic achievements, industry expertise, and focus on innovative solutions position her as a rising leader in the field. 🌐

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]