Dr. Gang Qin is an emerging researcher in the interdisciplinary field of Sports Science and Artificial Intelligence, currently pursuing his Ph.D. in Sport Science at Hanyang University, Seoul, South Korea (2021–2026). His academic and research pursuits bridge Sports Training, Exercise Physiology, Sports Statistics, and Sports Medicine with cutting-edge AI-driven network technologies, particularly focusing on enhancing athletic performance through digital and intelligent systems. Dr. Qin’s recent work, featured in the IEEE Transactions on Consumer Electronics (2025), presents a groundbreaking study titled “AI-driven 6G network slicing for Distance Collaborative Sports Training: Edge Cloud Resource Allocation Strategy.” This research explores the integration of 6G communication networks and deep learning algorithms to optimize remote and collaborative sports training environments, especially in basketball. By introducing an Adaptive Pelican Optimized–Elman Spike Neural Network (APO-ESNN), his study demonstrates an innovative resource allocation framework achieving 92% efficiency and 85% session productivity, marking a significant advancement in real-time sports analytics and network utilization. Dr. Qin’s model effectively leverages edge cloud computing to deliver ultra-low latency, high connectivity, and personalized coaching through AI-powered data processing, enabling interactive and efficient athlete–coach engagement. His research not only contributes to the future of intelligent sports ecosystems but also establishes a technological foundation for 6G-enabled virtual coaching systems that can transform training methodologies across disciplines. Through his pioneering approach, Dr. Gang Qin exemplifies the potential of interdisciplinary innovation—merging sports science with emerging AI and communication technologies to redefine how performance optimization, data-driven coaching, and immersive training are achieved in the era of intelligent sports networks.
Profile: Orcid
Featured Publication
Hou, Y., Wang, Z., Qin, G., & Zhong, H. (2025). AI-driven 6G network slicing for distance collaborative sports training: Edge cloud resource allocation strategy. IEEE Transactions on Consumer Electronics.