Postdoctoral, Beijing Jiaotong University, China
Xiaoya Zhang is a promising researcher with a strong publication record in IoV and multipath transmission. The research contributions are well-aligned with cutting-edge advancements in future networks, making a significant impact in the field
Publication Profile
Education :
Xiaoya Zhang is currently pursuing a Doctor of Engineering in Communication and Information Systems at Beijing Jiaotong University, where she has been enrolled since September 2018. Her doctoral research primarily focuses on multipath transmission mechanisms in heterogeneous vehicular networks and the optimization of future network architectures.
Research Focus:
Her research interests include Internet of Vehicles (IoV), future network architectures, multipath transmission protocols, and the integration of space-ground networks. She specializes in developing traffic-aware and high-throughput scheduling algorithms for vehicular ad hoc networks (VANETs) and wireless communication systems, with an emphasis on enhancing quality of experience (QoE) and system stability.
Her technical skills include network protocol design, multipath transmission algorithms, fog computing, and performance evaluation of wireless networks. She is proficient in programming languages such as Python, C++, and MATLAB, along with simulation tools like NS-3 and OMNeT++.
Awards:
Xiaoya Zhang has received multiple academic awards for her outstanding research contributions, including the Excellent Graduate Student Award from Beijing Jiaotong University and the Best Paper Award at IEEE ICC 2023.
- Ta2ls: A Traffic-Aware Multipath Scheduler for Cost-Effective QoE in Dynamic HetNets, IEEE Transactions on Mobile Computing, 2024.
- PPORM: A PPO-Assisted Packet Reordering Mechanism of Heterogeneous VANETs for Enhancing Goodput and Stability in Fog Computing, Vehicular Communications, 2025.
- A High-Throughput Scheduler Based on Multipath-State Machine in Wireless Networks, IEEE International Conference on Communications (ICC), 2023.
- Study on Characteristics of Metric-Aware Multipath Algorithms in Real Heterogeneous Networks, IEEE Global Communications Conference (Globecom), 2021.
- Space-Ground Integrated Information Network Enabled Internet of Vehicles: Architecture and Key Mechanisms, IEEE Communications Standards Magazine, 2020.
conclusion:
strengthening aspects such as leading projects, international collaboration, and broader academic engagement would further enhance the profile for prestigious research awards. Given the current track record, Xiaoya Zhang is a strong candidate for the Best Researcher Award, particularly in early-career or emerging researcher categories.