Seungmin Lee | Engineering | Best Researcher Award

Mr. Seungmin Lee | Engineering | Best Researcher Award

Wifi MAC Standards&SW Team in Newratek at Seoul | South Korea

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Early Academic Pursuits

Mr. Seungmin Lee embarked on his academic journey at Hankyong National University, where he pursued a Bachelor's degree in Electronic and Electrical Control Engineering. His thirst for knowledge and dedication to his field led him to pursue a Master's degree in the same discipline, where he worked under the guidance of Professor Howon Lee.

Professional Endeavors

With a solid educational foundation, Mr. Lee ventured into the professional realm, joining the WiFi MAC Standards and Software Development Team at Newratek in March 2023. His journey into the industry has been marked by a series of notable achievements and contributions.

Contributions and Research Focus

Mr. Lee's research interests center around cutting-edge topics in wireless communications, including B5G/6G wireless communications, three-dimensional mobile communication networks, reinforcement learning for UAV/satellite networks, and next-generation 802.11 networks. His groundbreaking work has been published in prestigious international and domestic journals, showcasing his innovative contributions to the field.

Accolades and Recognition

Mr. Lee's remarkable contributions have not gone unnoticed, earning him several prestigious awards and accolades. These include the Haedong Best Paper Award from the Korean Institute of Communications and Information Sciences (KICS) in 2022, the Best Paper Award from the Institute of Electronics and Information Engineers (IEIE) Scholarship Symposium in 2021, and the Best Paper Award from the Korean Institute of Communications and Information Sciences (KICS) Winter Conference in 2020.

Impact and Influence

Mr. Lee's research has had a significant impact on the field of wireless communications, paving the way for advancements in energy efficiency, network optimization, and user experience. His work has not only expanded the horizons of knowledge but has also inspired fellow researchers and industry professionals to explore new frontiers in the field.

Legacy and Future Contributions

As Mr. Lee continues to push the boundaries of wireless communications through his research and contributions, his legacy grows stronger with each milestone achieved. His dedication to innovation and excellence promises a future filled with groundbreaking discoveries and advancements that will shape the landscape of wireless communications for years to come.

Notable Publications

MUSCAT: Distributed multi-agent Q-learning-based minimum span channel allocation technique for UAV-enabled wireless networks 2024

Distributed Deep Reinforcement Learning-Based Energy Efficiency Maximization in 3D Cellular Networks 2023

Performance Analysis of Cooperative Dynamic Framed Slotted-ALOHA With Random Transmit Power Control in A2G Communication Networks 2022 (1)

Optimal Frequency Reuse and Power Control in Multi-UAV Wireless Networks: Hierarchical Multi-Agent Reinforcement Learning Perspective 2022 (4)

Multiagent Q-Learning-Based Multi-UAV Wireless Networks for Maximizing Energy Efficiency: Deployment and Power Control Strategy Design 2021 (29)

 

 

 

 

Nam-Phuong Tran | Computer Science | Best Researcher Award

Mr. Nam-Phuong Tran | Computer Science | Best Researcher Award

Chung-Ang University | South Korea

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Early Academic Pursuits

Mr. Nam-Phuong Tran began his academic journey at Hanoi University of Science and Technology, Vietnam, where he pursued a Bachelor of Engineering in Computer Science, completing it from August 2015 to June 2020. His thesis, "Spatio-Temporal Dynamics of the Labor Market," showcased his early dedication to research. Subsequently, he pursued an MSc of Science in Computer Science at Chung-Ang University, Seoul, Korea, focusing on QoE Management for Video Streaming Systems over IRS-aided RSMA Networks under the guidance of Professor Sungrae Cho.

Professional Endeavors

Tran has diversified professional experience, ranging from software engineering to research roles. He worked as a Software Engineer at Viettel Digital Service and as a Graduate Research Assistant at the Ultra-Intelligent Computing/Communication Lab, Chung-Ang University. Additionally, he has served as a Software Developer, Data Scientist Intern, and Undergraduate Research Assistant, gaining exposure to various facets of computer science and engineering.

Contributions and Research Focus

Tran's research primarily revolves around improving Quality of Experience (QoE) in communication networks, focusing on topics such as wireless resource allocation, bitrate adaptation, and low-latency protocols. His expertise spans intelligent reflecting surfaces, rate-splitting multiple access, IoT, deep learning, reinforcement learning, federated learning, and multimedia over wireless networks. He has also delved into big data analytics, including data crawling, mining, visualization, and predictive analytics.

Accolades and Recognition

Tran's dedication to academia has been acknowledged through numerous awards and scholarships, including the Chung-Ang University Young Scientist Scholarship, Brain Korea 21 Graduate School Research Scholarship, Daewoong AI Big Data Scholarship, and the Shinhan Bank Scholarship. He has also received recognition for his programming skills and outstanding thesis presentation.

Impact and Influence

Tran's research contributions, particularly in the realm of improving QoE in communication systems, have the potential to influence the development of more efficient and user-centric network protocols. His work in wireless resource allocation, bitrate adaptation, and low-latency protocols could lead to significant advancements in multimedia streaming, IoT, and metaverse applications, shaping the future of communication technologies.

Legacy and Future Contributions

Tran's legacy may lie in his interdisciplinary approach to addressing challenges in communication networks and big data analytics. His research outputs and professional endeavors are poised to contribute to advancements in wireless communication, machine learning applications, and data-driven decision-making. With his demonstrated commitment to excellence and innovation, he is likely to continue making notable contributions to the field of computer science and engineering, both in academia and industry.

Notable Publications

Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems 2024

Privacy-Preserving Traffic Flow Prediction: A Split Learning Approach 2023

Delay-constrained quality maximization in RSMA-based video streaming networks 2022

A Survey on Intelligent Reflecting Surface-aided Non-Orthogonal Multiple Access Networks 2022

A Survey on Passive Beamforming using Statistical State Information in Intelligent Reflecting Surface Assisted Networks 2022