R&D Engineer at T&S Communications Co., Ltd. in China
Jianshan Zhou is an associate professor at the School of Transportation Science and Engineering at Beihang University, Beijing, China. He received his B.Sc., M.Sc., and Ph.D. degrees in traffic information engineering and control from Beihang University in 2013, 2016, and 2020, respectively. As a Visiting Research Fellow at the University of Sussex, U.K., from 2017 to 2018, he expanded his expertise in informatics and engineering. He furthered his academic career as a Postdoctoral Research Fellow supported by Beihang University’s Zhuoyue Program and the National Postdoctoral Program for Innovative Talents from 2020 to 2022. Dr. Zhou has chaired technical programs at prestigious IEEE conferences and serves on editorial boards, including the Youth Editorial Board of Unmanned Systems Technology. He has authored over 30 international publications and has received multiple prestigious awards for his research on vehicular communication networks and intelligent transportation systems.
Professional Profile
Education
Jianshan Zhou’s academic journey began at Beihang University, where he earned his B.Sc., M.Sc., and Ph.D. degrees in traffic information engineering and control in 2013, 2016, and 2020, respectively. Throughout his education, he focused on the complexities of intelligent transportation systems and vehicular communication networks. His doctoral work at Beihang was recognized for its innovation and impact, earning him several prestigious accolades, including the Outstanding China-SAE Doctoral Dissertation Award in 2020. His passion for research took him abroad as a Visiting Research Fellow at the University of Sussex in the U.K. from 2017 to 2018, where he honed his skills in the fields of informatics and transportation systems engineering. This international experience broadened his perspectives and enriched his academic background, which is further highlighted by the excellence awards and scholarships he earned throughout his educational career.
Professional experience
Dr. Jianshan Zhou is currently an associate professor at Beihang University’s School of Transportation Science and Engineering. From 2020 to 2022, he was a Postdoctoral Research Fellow, supported by Beihang University’s prestigious Zhuoyue Program and the National Postdoctoral Program for Innovative Talents. His international experience includes serving as a Visiting Research Fellow at the School of Informatics and Engineering, University of Sussex, U.K., from 2017 to 2018. Dr. Zhou has been actively involved in organizing and leading technical programs for prominent conferences like IEEE EDGE 2020, IEEE ICUS 2022-2024, and ICAUS 2022. Additionally, he serves as a Youth Editorial Board Member for Unmanned Systems Technology. His contributions to the academic community extend to serving on technical program committees for global conferences, where he has facilitated discussions on cutting-edge technologies in transportation science, vehicular communication, and autonomous systems.
Research interest
Dr. Jianshan Zhou’s research focuses on the modeling and optimization of vehicular communication networks and air–ground cooperative networks. He explores cutting-edge technologies that enable efficient and reliable communication systems for connected autonomous vehicles and intelligent transportation systems. His work investigates how autonomous vehicles can interact within networks, improving both safety and efficiency in transportation. Dr. Zhou’s contributions extend to air-ground coordination, where he studies the integration of aerial systems into traffic management, aiming to optimize resource utilization in smart cities. His interdisciplinary approach also includes the analysis and control of these complex networks, ensuring that connectivity is maintained across varying transportation environments. With over 30 international scientific publications, Dr. Zhou’s research continues to push the boundaries of transportation engineering, making notable contributions to the field of autonomous driving technologies, vehicle-to-everything (V2X) communication, and the development of next-generation intelligent systems.
Award and Honor
Dr. Jianshan Zhou has received numerous awards and honors throughout his academic career. In 2017, he earned the First Prize in the Science and Technology Award from the China Intelligent Transportation Systems Association. In 2020, he received the First Prize in the Innovation and Development Award from the China Association of Productivity Promotion Centers. His groundbreaking research was also recognized with the Second Prize in the Beijing Science and Technology Progress Award in 2022. During his doctoral studies, he received National Scholarships in both 2017 and 2019 and was awarded the Outstanding Top-Ten Ph.D. Candidate Prize from Beihang University in 2018. Furthermore, his Ph.D. work garnered the prestigious Outstanding China-SAE Doctoral Dissertation Award in 2020, followed by the Excellent Doctoral Dissertation Award from Beihang University in 2021. These accolades reflect Dr. Zhou’s leadership in research and his significant contributions to intelligent transportation systems.
Achievements
- First Prize in the Science and Technology Award (China Intelligent Transportation Systems Association) – 2017
- First Prize in the Innovation and Development Award (China Association of Productivity Promotion Centers) – 2020
- Second Prize in the Beijing Science and Technology Progress Award – 2022
- National Scholarships – 2017 and 2019
- Outstanding Top-Ten Ph.D. Candidate Prize (Beihang University) – 2018
- Outstanding China-SAE Doctoral Dissertation Award – 2020
- Excellent Doctoral Dissertation Award (Beihang University) – 2021
Conclusion
Jianshan Zhou is an outstanding candidate for the Best Researcher Award. His impressive academic credentials, prolific research output, and numerous prestigious awards make him a strong contender. He has made significant contributions to the field of intelligent transportation systems and vehicular communication networks, areas critical for the future of autonomous vehicles and smart cities. Furthermore, his leadership in conferences and technical committees reflects his influence in shaping the future of his research domains.
Publications top notes
- 📊 Contrastive optimized graph convolution network for traffic forecasting
- Guo, K., Tian, D., Zhou, J., Gao, J., Qian, Z.S. (2024)
- Journal: Neurocomputing, 602, 128249
- Citations: 0
- ✈️ Distributed Robust UAVs Formation Control Based on Semidefinite Programming
- Zhang, P., Zhou, J., Tian, D., Zhao, D., Guo, K. (2024)
- Journal: Tsinghua Science and Technology, 29(5), pp. 1341–1354
- Citations: 0
- 🔋 Joint Energy-Efficiency Communication Optimization and Perimeter Traffic Flow Control for Multi-Region LTE-V2V Networks
- Zhou, J., Qu, G., Tian, D., Guan, Y.L., Leung, V.C.M. (2024)
- Journal: IEEE Transactions on Mobile Computing, 23(5), pp. 5009–5026
- Citations: 0
- 🚗 Continuous Decision-Making in Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: A Risk-Aware Reinforcement Learning Approach with Task Decomposition
- Wu, S., Tian, D., Duan, X., Zhao, D., Cao, D. (2024)
- Journal: IEEE Transactions on Intelligent Vehicles, 9(4), pp. 4657–4674
- Citations: 1
- 🌐 Energy-Efficiency Optimization With Model Convexification for Wireless Ad Hoc Networks With Multi-Packet Reception Capability
- Zhou, J., Tian, D., Qu, G., Duan, X., Leung, V.C.M. (2024)
- Journal: IEEE Transactions on Mobile Computing, 23(4), pp. 2864–2881
- Citations: 0
- 🚗 V2VFormer: Vehicle-to-Vehicle Cooperative Perception with Spatial-Channel Transformer
- Lin, C., Tian, D., Duan, X., Zhao, D., Cao, D. (2024)
- Journal: IEEE Transactions on Intelligent Vehicles, 9(2), pp. 3384–3395
- Citations: 2
- 🧠 Contrastive learning for traffic flow forecasting based on multi graph convolution network
- Guo, K., Tian, D., Hu, Y., Gao, J., Yin, B. (2024)
- Journal: IET Intelligent Transport Systems, 18(2), pp. 290–301
- Citations: 0
- 🚗 V2VFormer++: Multi-Modal Vehicle-to-Vehicle Cooperative Perception via Global-Local Transformer
- Yin, H., Tian, D., Lin, C., Zhao, D., Cao, D. (2024)
- Journal: IEEE Transactions on Intelligent Transportation Systems, 25(2), pp. 2153–2166
- Citations: 1
- 🔐 RPBFT: A Scalable Consensus Mechanism for Large Blockchain Systems
- Wang, W., Tian, D., Duan, X., Zhou, J. (2024)
- Conference Paper: Lecture Notes of the Institute for Computer Sciences, LNICST, 573, pp. 509–520
- Citations: 0
- 🎥 CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering
- Guo, K., Tian, D., Hu, Y., Gao, J., Yin, B. (2024)
- Journal: IEEE Transactions on Circuits and Systems for Video Technology
- Citations: 0
