Mr. Yi Li | Social Network Analysis | Best Researcher Award
Graduate Student | university of science and technology beijing | China
Mr. Yi Li is a promising graduate student at the University of Science and Technology Beijing, actively pursuing an M.S. degree in Communication Engineering. With a solid academic foundation laid at Tianjin University of Science and Technology, where he earned his B.S. degree in Electronic Information Engineering in 2022, Yi Li has cultivated a deep interest in vehicular communications and the Internet of Vehicles (IoV). His research combines theoretical insights and practical applications, contributing to the advancement of signal detection methods within vehicular ad-hoc networks.
Profile
Education
Yi Li’s educational journey reflects his commitment to excelling in the field of communication engineering. He completed his B.S. degree in Electronic Information Engineering from Tianjin University of Science and Technology in 2022. Currently, he is a graduate student at the University of Science and Technology Beijing, where he is focused on exploring innovations in vehicular communication systems. His academic training has equipped him with strong analytical and problem-solving skills, essential for addressing complex challenges in IoV systems.
Experience
During his academic tenure, Yi Li has amassed substantial research experience. He has been actively involved in developing advanced signal detection techniques for vehicular ad-hoc networks, contributing to both academia and industry. Yi Li’s work includes designing distributed communication frameworks and IoT testing instruments and participating in large-scale projects such as millimeter wave cloud radar development. Additionally, his internship at the Beijing Academy of Artificial Intelligence (BAAI) allowed him to contribute to cutting-edge projects, including a subjective evaluation platform for large language models.
Research Interests
Yi Li’s primary research interests lie in the Internet of Vehicles (IoV) and Vehicular Communications. He is particularly focused on developing innovative signal detection methods that leverage social network analysis and parallel intelligence. His work aims to enhance vehicular communication networks’ reliability and efficiency, addressing real-world challenges in intelligent transportation systems.
Awards
Yi Li has demonstrated excellence through his scholarly contributions, which have earned him recognition in academic and professional circles. His patent on a marine communication signal detection method is a testament to his innovative capabilities. In addition, he has received nominations for research awards, including the Young Scientist Award, reflecting his potential as a rising researcher in vehicular communication technologies.
Publications
Yi Li has authored several significant publications in indexed journals and conferences. Notable works include:
“Signal Detection Techniques in Social Internet of Vehicles: Review and Challenges”
IEEE Transactions on Intelligent Vehicles, Major Revision Submitted, 2024.
“Signal Detection Techniques in Social Internet of Vehicles: Review and Challenges”
IEEE Intelligent Transportation Systems Magazine, 2024. Cited by 10 articles.
“Signal Detection Method Based on Social Relationship Strength in Vehicular Ad-hoc Networks”
IFAC-PapersOnLine, Vol. 58, Issue 10, 2024. DOI: 10.1016/j.ifacol.2024.07.336.
“Signal Detection Method Based on Data Characteristics in Vehicular Ad Hoc Networks”
2024 IEEE Intelligent Vehicles Symposium, Jeju Island, Korea, 2024. DOI: 10.1109/IV55156.2024.10588388.
“Computational Experiments and Comparative Analysis of Signal Detection Algorithms in Vehicular Ad Hoc Networks”
IEEE Journal of Radio Frequency Identification, Vol. 8, 2024. DOI: 10.1109/JRFID.2024.3355298.
“Computational Experiments of Signal Detection Algorithms in VANETs based on Parallel Intelligence”
2023 IEEE International Conference on Digital Twins and Parallel Intelligence, Orlando, USA, 2023. DOI: 10.1109/DTPI59677.2023.10365425.
“SIoV Research Status and Development Trends”
Complexity and Intelligence, 2022, Vol. 18(03).
Conclusion
Mr. Yi Li’s academic and research endeavors showcase his commitment to pushing the boundaries of communication engineering. With a strong foundation, innovative research, and impactful publications, he is well on his way to becoming a prominent figure in the field of vehicular communications. His dedication to advancing signal detection methods and IoV technologies demonstrates his potential to contribute significantly to the future of intelligent transportation systems.