معرفی
Dr. Yang Xing is a Senior Lecturer in Applied Artificial Intelligence for Engineering at Cranfield University's Centre for Autonomous and Cyberphysical Systems, where he also directs the HUMAX Lab focused on human-centered autonomous vehicle validation. He holds a PhD from Cranfield University (2018) and an MSc with Distinction in Control Systems from the University of Sheffield (2014). Previously, he was a Research Associate at the University of Oxford (2020-2021) and Research Fellow at Nanyang Technological University (2019-2020).
His research centers on human-autonomy collaboration frameworks with four key pillars:
- Cognitive autonomous systems using trustworthy AI
- Computer vision for human behavior/intention modeling
- Multimodal foundation models for autonomous driving
- Deep learning for sustainable transportation systems
His recent publications (2022-2025) demonstrate strong trends in AI-driven transportation research: 40% focus on trajectory prediction and behavior modeling, 30% on computer vision applications, 20% on human-AI collaboration frameworks, and 10% on energy optimization. Key thematic evolutions include increased use of transformer architectures, graph neural networks for interaction modeling, and simulation-to-real transfer learning.
Awards and Honors:
- IEEE Outstanding Associate Editor Award (TNNLS 2023-2024)
- Best Paper Award, China National Intelligence Technology Conference 2019
- IEEE Outstanding Service Award, Smart World Congress 2023
- Best Workshop Paper, IEEE IV 2018
He currently advises PhD student Isa Ismail and has secured funding from the Royal Society, EPSRC, DSTL, SAAB, QinetiQ, and Thales. As lab director of HUMAX, he leads projects on human-AI teaming for autonomous systems.
