Dr. Jun Wu | network security | Best Researcher Award
Lecturer, Hangzhou Dianzi University, China
Jun Wu is a dedicated lecturer at Hangzhou Dianzi University, known for his extensive research in information and communication engineering. With a Ph.D. from Southeast University, China, he has significantly contributed to advancements in wireless communication. Over the years, Jun has authored more than 80 publications and actively engages in impactful research areas like cognitive radio networks, machine learning, and network security.
Publication Profile
🎓 Education:
Jun Wu earned his Ph.D. in Information and Communication Engineering from Southeast University in Nanjing, China, in 2018. This foundation has propelled his expertise in fields such as spectrum sensing and drone technologies.
💼 Experience:
As a lecturer at the School of Communication Engineering, Hangzhou Dianzi University, Jun has not only contributed to academia with numerous publications but also spearheaded several research projects and patent applications. His editorial role for Sensors journal showcases his commitment to furthering research in wireless sensor networks.
🔬 Research Interests:
Jun’s research interests include spectrum sensing and management, drone trajectory optimization, cognitive radio networks, wireless sensor networks, machine learning, and network security. His work emphasizes innovative solutions for the evolving Internet of Things (IoT) and unmanned aerial vehicle (UAV) technologies.
🏆 Awards:
Jun Wu’s dedication to research has garnered him recognition within the academic community, and his contributions through over 80 papers, 18 patents, and editorial roles reflect his impact. His influence is evidenced by his publications’ 542 citations and an H-index of 13.
Publications
“Distributed Sequential Detection for Cooperative Spectrum Sensing in Cognitive Internet of Things”
Published in Prime Archives in Sensors, 3rd Edition (Vide Leaf), Link to publication
“Spectrum Sensing and Access Technologies for Drones” (Guest Editor)
Special Issue in Sensors, View here