Education:
Prof. Li Zhu earned his PhD in Traffic Information Engineering and Control from Beijing Jiaotong University in 2012. His academic journey began with a robust foundation in engineering principles, which he further enhanced during his time as a visiting student at the University of British Columbia and Carleton University in Canada from 2009 to 2010. During this period, he focused on research and development in advanced wireless communication technologies specifically tailored for railway control systems. His doctoral dissertation, titled “Cross Layer Design in CBTC Train Ground Communication System,” was recognized with the prestigious Beijing Exceptional Doctoral Dissertation award, highlighting his innovative contributions to the field. Prof. Zhu’s education has equipped him with a comprehensive understanding of traffic information engineering and control, establishing him as a leading expert in railway communication systems.
Professional Experience:
Prof. Li Zhu has a robust professional background in the field of traffic information engineering and control. Since joining the State Key Laboratory of Rail Traffic Control and Safety at Beijing Jiaotong University in 2012, he has contributed significantly to research and education as a Professor. Prior to this, he enhanced his expertise through a visiting student position at the University of British Columbia and Carleton University in Canada from 2009 to 2010, focusing on advanced wireless communication technologies for railway control systems. Prof. Zhu has led over ten major research projects funded by the Ministry of Education and the Natural Science Foundation, showcasing his leadership in academia. He has also been actively involved in the academic community as a member of the Technical Program Committee for numerous international conferences and as a reviewer for prestigious journals. His practical contributions to the industry include designing the data communication system for the CBTC system of the Beijing Metro Yizhuang Line, marking it as the first train control system with self-owned intellectual property rights.
Research Interests:
Prof. Li Zhu’s research interests encompass a wide range of topics in the field of traffic information engineering and control. His primary focus includes the development of train ground communication systems and communication-based train control systems, where he explores innovative solutions to enhance operational efficiency and safety. Additionally, he specializes in cross-layer and cross-systems design within wireless networks, aiming to optimize communication protocols for complex transportation environments. Security in train control systems is another critical area of his research, where he investigates methods to safeguard communication channels against potential threats. Prof. Zhu’s extensive research contributions, reflected in over 100 published papers, demonstrate his commitment to advancing technology and improving the reliability of railway systems.
Skills:
Prof. Li Zhu possesses a diverse set of skills that significantly enhance his contributions to the field of traffic information engineering and control. His expertise in advanced wireless communication technologies is foundational to his research in train ground communication and control systems. Prof. Zhu excels in cross-layer and cross-systems design, enabling him to integrate various network protocols effectively for improved performance. Additionally, his strong analytical skills facilitate in-depth evaluations of system security, allowing him to develop robust solutions for protecting critical communication channels in railway operations. His project management abilities are evident in his leadership of numerous research projects funded by government agencies, showcasing his capacity to coordinate interdisciplinary teams. Furthermore, his experience as a reviewer and committee member for prestigious conferences and journals highlights his critical understanding of the latest advancements in the field and his commitment to maintaining high research standards.
Conclution:
Prof. Li Zhu’s deep expertise in wireless communication for train control, his significant contributions to both academic research and industry applications, his leadership in high-impact research projects, and his prolific publication record make him highly deserving of the Research for Best Researcher Award. His innovative work continues to shape the future of intelligent transportation systems, positioning him as a leader in his field.
Publication Top Noted:
Title: Big Data Analytics in Intelligent Transportation Systems: A Survey
- Authors: L. Zhu, F.R. Yu, Y. Wang, B. Ning, T. Tang
- Journal: IEEE Transactions on Intelligent Transportation Systems
- Volume: 20
- Issue: 1
- Pages: 383-398
- Year: 2018
- Citations: 1096
Title: Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach
- Authors: J. Feng, F.R. Yu, Q. Pei, X. Chu, J. Du, L. Zhu
- Journal: IEEE Internet of Things Journal
- Volume: 7
- Issue: 7
- Pages: 6214-6228
- Year: 2019
- Citations: 298
Title: Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems
- Authors: L. Zhu, F.R. Yu, B. Ning, T. Tang
- Journal: IEEE Journal on Selected Areas in Communications
- Volume: 30
- Issue: 4
- Pages: 719-728
- Year: 2012
- Citations: 234
Title: Cross-Layer Design for Video Transmissions in Metro Passenger Information Systems
- Authors: L. Zhu, F.R. Yu, B. Ning, T. Tang
- Journal: IEEE Transactions on Vehicular Technology
- Volume: 60
- Issue: 3
- Pages: 1171-1181
- Year: 2011
- Citations: 138
Title: Joint Optimization of Radio and Computational Resources Allocation in Blockchain-Enabled Mobile Edge Computing Systems
- Authors: J. Feng, F.R. Yu, Q. Pei, J. Du, L. Zhu
- Journal: IEEE Transactions on Wireless Communications
- Volume: 19
- Issue: 6
- Pages: 4321-4334
- Year: 2020
- Citations: 116
Title: Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway
- Authors: G. Hua, L. Zhu, J. Wu, C. Shen, L. Zhou, Q. Lin
- Journal: IEEE Access
- Volume: 8
- Pages: 176830-176839
- Year: 2020
- Citations: 103
Title: Dynamic Network Slicing and Resource Allocation in Mobile Edge Computing Systems
- Authors: J. Feng, Q. Pei, F.R. Yu, X. Chu, J. Du, L. Zhu
- Journal: IEEE Transactions on Vehicular Technology
- Volume: 69
- Issue: 7
- Pages: 7863-7878
- Year: 2020
- Citations: 93