Wang Hongyuan | 5G | Best Researcher Award

Prof. Wang Hongyuan | 5G | Best Researcher Award

Teacher at Guangdong University of Science and Technology | China

Prof. Hongyuan Wang is an accomplished academic and researcher serving as an Associate Professor at the Guangdong University of Science and Technology. His research lies at the forefront of AIoT (Artificial Intelligence of Things), cloud computing, big data analytics, information security, and HarmonyOS application development, where he integrates intelligent computing with practical, real-world applications. He has authored 11 research publications, which have collectively received 10 citations from 10 documents, reflecting the growing academic influence of his work. His notable studies include adaptive computation offloading strategies for wireless IoT, explainable artificial intelligence in neurodegenerative disorders, and machine learning-based network security frameworks, published in esteemed journals such as Engineering Applications of Artificial Intelligence and Wireless Networks. His research on MEC-IoT-Healthcare systems exemplifies his commitment to merging healthcare innovation with computational intelligence. Prof. Wang also leads multiple industry-academia collaborative projects, particularly in edge and big data computing, contributing to the development of intelligent systems that enhance operational efficiency and decision-making. His scholarly achievements are complemented by a provincial-level teaching achievement special prize, underscoring his dedication to both academic excellence and pedagogical innovation. With an h-index of 2, Prof. Wang continues to make meaningful contributions to the advancement of intelligent computing and interdisciplinary technology research.

Profile: Scopus | Staff Page

Featured Publications

1. Wang, H. (2025). An adaptive computation offloading strategy for wireless IoT: A reinforcement learning-based solution. Journal of the Institution of Engineers (India): Series B.

2. Wang, H. (2025). Neurodegenerative disorders: A holistic study of the explainable artificial intelligence applications. Engineering Applications of Artificial Intelligence.

3. Wang, H. (2023). Machine learning-based centralized link coding attack detection in software-defined network. Wireless Networks, 29(7), 1–15.

4. Wang, H. (2023). MEC-IoT-Healthcare: Analysis and prospects. Computers, Materials & Continua, 76(2), 1957–1973.