Assoc Prof Dr. Qiong Wu, , Jiangnan University, China
Assoc. Prof. Dr. Qiong Wu is an accomplished researcher and academic, holding a Ph.D. in Engineering from Southeast University and having completed a postdoctoral fellowship at Tsinghua University. He currently serves as an Associate Professor at the School of Internet of Things Engineering at Jiangnan University, where he supervises Master’s students. A senior member of IEEE, Dr. Wu specializes in Internet of Vehicles (IoV), unmanned driving technologies, machine learning, and edge computing. His work is pivotal to the development of intelligent transportation systems and autonomous vehicles, advancing vehicular communication and smart city technologies.
Professional Profile:
Suitability for the Award
- Impactful Research Contributions:
- Dr. Wu’s work in IoV, unmanned driving, and machine learning is highly relevant to the evolving technological landscape. His research addresses critical challenges in next-generation communication systems for autonomous vehicles and smart transportation, making significant contributions to both theoretical advancements and practical applications.
- The combination of edge computing and machine learning in his research aligns with current trends in intelligent systems, making his contributions highly innovative and timely.
- Leadership in Research and Innovation:
- With over 20 authorized patents and leading numerous high-profile projects, Dr. Wu has proven his ability to drive innovation and make tangible contributions to industry and academia alike.
- His role as an editorial board member and conference chair demonstrates his leadership and influence in shaping the research community.
- Recognition and Influence:
- With over 1,000 citations and several ESI highly cited papers, Dr. Wu’s research has garnered significant recognition and impact within the scientific community. His work has helped set standards in the field of IoV and vehicular communication technologies.
- Mentorship and Academic Contributions:
- Dr. Wu’s dedication to mentoring graduate students and his role in helping students achieve excellence in their academic and professional careers is a testament to his commitment to the future of research and education in his field.
Summary of Qualifications
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Educational and Professional Background:
- Ph.D. in Engineering from the National Key Laboratory of Mobile Communications at Southeast University (2016).
- Postdoctoral fellow at the Department of Electronic Engineering, Tsinghua University (2018–2020).
- Currently an Associate Professor and Master’s Supervisor at the School of Internet of Things Engineering, Jiangnan University.
- Senior member of IEEE, which reflects his recognition in the international research community.
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Research Focus:
- Dr. Wu’s research focuses on Internet of Vehicles (IoV), unmanned driving technologies, machine learning, and edge computing. These areas are critical to the future of intelligent transportation systems and autonomous vehicles.
- His research on IoV and machine learning significantly contributes to advancing safe and efficient vehicular communication systems, essential for future smart cities and transportation networks.
Research Output and Publications:
He has published over 60 academic papers in top-tier journals and conferences, including the IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Network and Service Management.
As the first/corresponding author, he has contributed to over 30 SCI-indexed papers and authored 2 ESI highly cited papers.
His work has garnered more than 1,000 citations on Google Scholar, showcasing the widespread influence and recognition of his research.
Published works include:
1. “Towards V2I Age-aware Fairness Access: A DQN-based Intelligent Vehicular Node Training and Test Method”, Chinese Journal of Electronics, 2023.
2. “Delay-sensitive Task Offloading in the 802.11 p-based Vehicular Fog Computing Systems”, IEEE Internet of Things Journal, 2019.
3. “A Metasurface-based Low-profile Array Decoupling Technology to Enhance Isolation in MIMO Antenna Systems”, IEEE Access, 2020.
Innovation and Patents:
Dr. Wu has demonstrated a strong commitment to practical applications of his research with more than 20 authorized invention patents, contributing to technological innovations in his field.
His patents reflect his active role in addressing real-world challenges related to vehicular communication systems and machine learning algorithms for edge computing.
Grants and Recognitions:
He has led more than 10 projects, including those funded by the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and the Southeast University Outstanding Doctoral Dissertation Fund.
These competitive grants underline his leadership in cutting-edge research and his ability to secure funding for impactful projects.
Conclusion
Assoc. Prof. Dr. Qiong Wu is a strong candidate for the Best Researcher Award. His extensive research in cutting-edge fields such as the Internet of Vehicles, machine learning, and edge computing, combined with his innovation, leadership, and substantial contributions to the academic community, make him an ideal candidate for this prestigious recognition.