Dr Juan Zhang

Lecturer

Department: Computer and Information Sciences

Dr Juan Zhang is a Lecturer with the Department of Computer and Information Sciences, Northumbria University, U.K. She received a PhD degree in Computer Science from the University of Exeter, U.K. and subsequently was a postdoctoral researcher with the Chair of High-Performance Computing at Helmut-Schmidt University/University of the Federal Armed Forces Hamburg, Germany. Before that, she graduated from Beihang University, in Beijing, China.

She has a multidisciplinary background, receiving an M.Sc. in Control Science and Engineering and a B.Eng degree in Mechanical Engineering. She is also a visiting researcher in the Computer Networks Group at Georg-August-University of Göttingen, Germany. Her research interests include mobile edge computing, decision-making strategies, the Internet of Things, and future mobile networks. She is a member of IEEE.

Prospective Research Students: Highly motivated research students interested in solving challenging problems in mobile networking systems including connected autonomous vehicles, UAVs, etc. with advanced AI techniques are welcome to contact me.

Potential Visiting: PhD students interested in joint supervision, and visiting researchers interested in my research, are welcome to reach out to me.

For more details, please refer to her Personal Website.

Email Juan

Key Publications

Please visit the Pure Research Information Portal for further information
Coverage-Aware and Reinforcement Learning Using Multi-Agent Approach for HD Map QoS in a Realistic Environment, Redondo, J., Yuan, Z., Aslam, N., Zhang, J. 23 Jul 2024, 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM), Piscataway, US, IEEE
Cross-layer Adaptable Contention Window for High-definition Map QoS Enhancement, Redondo, J., Yuan, Z., Aslam, N., Zhang, J. 27 May 2024, Proceedings of the 2024 International Wireless Communications and Mobile Computing (IWCMC), New York, IEEE
DS-UKF-Based Positioning Method for Intelligent Connected Vehicles in Urban Intersection Scenarios, Wang, P., Liu, C., Zhang, J., Wang, L., Zhang, M. 1 Jun 2024, In: IEEE Transactions on Intelligent Transportation Systems
Eco-driving-based mixed vehicular platoon control model for successive signalized intersections, Wang, P., Wang, X., Ye, R., Sun, Y., Liu, C., Zhang, J. 1 Apr 2024, In: Physica A: Statistical Mechanics and its Applications
Enhancing Resource Utilization Efficiency in Serverless Education: A Stateful Approach with Rofuse, Lu, X., Li, N., Yuan, L., Zhang, J. 2 Jun 2024, In: Electronics
GraM: Geometric Structure Embedding into Attention Mechanisms for 3D Point Cloud Registration, Liu, P., Zhong, L., Wang, R., Zhu, J., Zhai, X., Zhang, J. 20 May 2024, In: Electronics
Neural Network-based Game Theory for Scalable Offloading in Vehicular Edge Computing: A Transfer Learning Approach, Zhang, J., Wu, Y., Min, G., Li, K. 1 Jul 2024, In: IEEE Transactions on Intelligent Transportation Systems
PHIR: A Platform Solution of Data-Driven Health Monitoring for Industrial Robots, Jiang, F., Hu, C., Liu, C., Wang, R., Zhu, J., Chen, S., Zhang, J. 21 Feb 2024, In: Electronics
An eco-driving controller based on intelligent connected vehicles for sustainable transportation, Wang, P., Ye, R., Zhang, J., Wang, T. 29 Apr 2022, In: Applied Sciences
Model predictive control for connected vehicle platoon under switching communication topology, Wang, P., Deng, H., Zhang, J., Wang, L., Zhang, M., Li, Y. Jul 2022, In: IEEE Transactions on Intelligent Transportation Systems

Qualifications

Computer Science PhD
Associate Fellow of the Higher Education Academy (2018, 2024 twice) AFHEA
IEEE ComSoc Membership
IEEE Membership

Our Staff

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Research at Northumbria

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