Contact Dr Zhengjia Xu
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
- Systems Engineering
Background
Dr. Zhengjia Xu received his Ph.D. degree in aerospace from Cranfield University in 2021 and his other degrees of B.S. degree in civil aviation electrical and electronic engineering and M.S. in vehicle operation engineering in 2014 and 2017, respectively.
Before joining Cranfield University in 2023, Dr. Zhengjia Xu was previously enrolled as Senior Radio Frequency Engineer and junior consultant as an Electronics and Embedded Software Engineer. He has multi-discipline engineering and research background in a wide range of fields including:
DSP implementations, ML, navigation system, IoT full-stack protocol design, RF front-end measurements/selection/development, embedded system programming with OS, etc.
Current activities
Dr Zhengjia Xu is a research fellow in Position, Navigation and Timing (PNT) with the Centre for Autonomous and Cyber-Physical Systems in the School of Aerospace, Transport and Manufacturing. With expertise in DSP, navigation, software-defined radio/device development, and embedded system, he is currently working on designing and developing cutting-edge GNSS receivers with frontier techniques.
Clients
ESA, Telespazio, Drone Defence Services Ltd, Captec, ASH Wireless Electronics Ltd, IET, etc.
Publications
Articles In Journals
- Yang W, Jiang Y, Chi Y, Xu Z & Wei W. (2024). Long-Term Network Structure Evolution Investigation for Sustainability Improvement: An Empirical Analysis on Global Top Full-Service Carriers. Aerospace, 11(2)
- Yang W, Chi Y, Huang Y, Wei W & Xu Z. (2024). Layout analysis of the RCEP international airline network based on hub identification using improved contribution matrix. Scientific Reports, 14(1)
- Tabassum TE, Xu Z, Petrunin I & Rana ZA. (2023). Integrating GRU with a Kalman Filter to Enhance Visual Inertial Odometry Performance in Complex Environments. Aerospace, 10(11)
- Yang W, Shao J, Jiang Y, Xu Z & Tsourdos A. (2021). International Airline Alliance Network Design with Uncertainty. Applied Sciences, 11(7)
- Xu Z, Petrunin I & Tsourdos A. (2021). Dynamic Spectrum Management with Network Function Virtualization for UAV Communication. Journal of Intelligent & Robotic Systems, 101(2)
- Xu Z, Petrunin I, Li T & Tsourdos A. (2021). Efficient Allocation for Downlink Multi-Channel NOMA Systems Considering Complex Constraints. Sensors, 21(5)
- Xu Z, Petrunin I & Tsourdos A. (2021). Modeling and Performance Analysis of Opportunistic Link Selection for UAV Communication. Sensors, 21(2)
- Xu Z, Petrunin I & Tsourdos A. (2020). Identification of Communication Signals Using Learning Approaches for Cognitive Radio Applications. IEEE Access, 8
Conference Papers
- Delezenne Q, Petrunin I, Xu Z, Neptune J & Bleakley T. (2024). Autonomous Navigation with Taxiway Crossings Identification using Camera Vision and Airport Map
- Liu W, Niu H, Caliskanelli I, Xu Z & Skilton R. (2024). Consensus-based Deep Reinforcement Learning for Mobile Robot Mapless Navigation
- Brun T, Xu Z, Petrunin I, Wong R & Grech R. (2024). Machine Learning Enhanced Signal Quality Assessment Leveraged with GDOP for GNSS/INS Fusion
- Li J, Nasar Z, Ferracci V, Harris N & Xu Z. (2024). Selection and Aggregation of Low-cost Particle Sensors for Outdoor Particulate Matter Measurement
- Wang Z, Yan H, Wang Y, Xu Z, Wang Z, .... (2024). Research on Autonomous Robots Navigation based on Reinforcement Learning
- Yan H, Wang Z, Xu Z, Wang Z, Wu Z, .... (2024). Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
- Xu Z, Petrunin I, Tsourdos A, Grech R, Peltola P, .... (2023). Combination and Selection of Machine Learning Algorithms in GNSS Architecture Design for Concurrent Executions with HIL Testing
- Mondal S, Williamson A, Xu Z & Tsourdos A. (2020). Autonomous Architecture for UAV-based Agricultural Survey
- Xu Z, Petrunin I, Tsourdos A & Ayub S. (2019). Learning Based Spectrum Hole Detection for Cognitive Radio Communication
- Xu Z, Ivan P, Li T & Tsourdos A. (2019). Greedy Based Proactive Spectrum Handoff Scheme for Cognitive Radio Systems
- Ayub S, Petrunin I, Tsourdos A & Xu Z. (2019). Analysis of Wireless Connectivity Applications at Airport Surface
- Xu Z, Petrunin I, Tsourdos A, Sabyasachi M & Williamson A. (2019). Cognitive Communication Scheme for Unmanned Aerial Vehicle Operation
- Williamson A, Mondal S, Xu Z & Tsourdos A. (2019). Autonomous collection of ground truth data by unmanned aerial vehicles instructed using SMS text messages
- Xu Z, Savvaris A, Tsourdos A & Alawadi T. (2018). High-Frequency Band Automatic Mode Recognition Using Deep Learning