Xiangyu Meng

Xiangyu Meng is a Researcher in the Department of Electrical & Electronic Engineering, focusing on harmonic stability in vehicle-grid systems, offshore wind farm modeling, and cyber-physical system analysis. His expertise spans electrical engineering, power electronics, smart grids, and railway systems.

Research interests include improving grid stability in railway and vehicle-to-grid contexts, leveraging deep learning and neural networks for system analysis. Recent work emphasizes resilient control strategies, sensor data integrity, and low-frequency stability in train-grid interactions.

Publications (2024-2025) highlight advancements in impedance identification, DAB converter perspectives, and multi-vehicle network stability. Collaborations focus on sustainable energy solutions aligned with UN SDGs.

No awards or grants explicitly mentioned, though research outputs show active peer-reviewed contributions in IEEE journals. No advising details provided.