Wang Hongyuan | 5G | Best Researcher Award

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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.

Qiang Lv | Wireless Communication | Best Researcher Award

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Dr. Qiang Lv | Wireless Communication | Best Researcher Award

Postgraduate at Communication University of China, China

Qiang Lv is a dedicated researcher and postgraduate student currently pursuing a Ph.D. in signal and information processing at the Communication University of China, Beijing. With an M.Sc. from South Central Minzu University, Wuhan (2020), his work is focused on advancing communication signal processing, orthogonal time-frequency space (OTFS), and integrated sensing and communication (ISAC). He actively contributes to prestigious national research projects and collaborates with accomplished professionals in the field. His publication in Physical Communication underscores his commitment to innovating future 6G technologies.

Publication Profile 

Orcid

Educational Background 🎓

  1. Ph.D. in Signal and Information Processing (Ongoing)
    • Institution: Communication University of China, Beijing, China.
    • Focus: OTFS, communication signal processing, integrated sensing and communication.
  2. M.Sc.
    • Institution: South Central Minzu University, Wuhan, China.
    • Year of Completion: 2020.

Professional Experience 💼

  • Current Role: Ph.D. Researcher
    • Institution: Communication University of China.
    • Responsibilities: Contributing to research projects in communication signal processing and ISAC.
  • Research Projects:
    1. National Key Research and Development Program of China under Grant 2022YFB3904603.
    2. Fundamental Research Fund for the Central Universities under Grant CUC24GT02.

Research Interests 🔬

  • Orthogonal Time Frequency Space (OTFS).
  • Communication Signal Processing.
  • Integrated Sensing and Communication (ISAC).
  • Tensor Models in Wireless Communications.

Awards and Honors

  • Nominated for the “Best Researcher Award” based on significant contributions to future 6G integrated sensing and communication technologies.

Conclusion

Qiang Lv is a passionate researcher whose work in OTFS and ISAC positions him as an emerging contributor to communication engineering and next-generation wireless systems. With a solid academic foundation, active involvement in prominent national research projects, and a collaborative spirit, he demonstrates the potential for further groundbreaking advancements in his field.

Publications 📚

📘 DFT-Spread OTFS-NOMA for Downlink Integrated Positioning and Communication
🗓️ Publication Date: October 2024
📜 Journal: Physical Communication
🔗 DOI: 10.1016/j.phycom.2024.102476
📖 ISSN: 1874-4907
✍️ Contributors: Qiang Lv, Jianhe Du, Yuanzhi Chen, Weijia Yu, Peng Zhang

🔬 A High-Quality Spin and Valley Beam Splitter in WSe₂ Tunneling Junction Through the Goos–Hänchen Shift
🗓️ Publication Date: June 5, 2019
📜 Journal: Journal of Physics: Condensed Matter
🔗 DOI: 10.1088/1361-648x/ab0b07
📖 ISSN: 0953-8984, 1361-648X
✍️ Contributors: Xuejun Qiu, Qiang Lv, Zhenzhou Cao

⚡ Velocity Barrier-Controlled Spin-Valley Polarized Transport in Monolayer WSe₂ Junction
🗓️ Publication Date: May 2018
📜 Journal: Superlattices and Microstructures
🔗 DOI: 10.1016/j.spmi.2018.03.082
📖 ISSN: 0749-6036
✍️ Contributors: Xuejun Qiu, Qiang Lv, Zhenzhou Cao

✨ Optical, Electric, and Magnetic Controlled Ballistic Conductance in Monolayer WSe₂: The Perfect Valley and Spin Polarizations
🗓️ Publication Date: November 15, 2017
📜 Journal: Journal of Physics D: Applied Physics
🔗 DOI: 10.1088/1361-6463/aa8ddc
📖 ISSN: 0022-3727, 1361-6463
✍️ Contributors: Xuejun Qiu, Q. Lv, Z. Z. Cao