Chia-Yen Chiang

Chia-Yen Chiang is a Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London. She teaches the postgraduate module Machine Learning, focusing on pattern recognition, clustering, neural networks, and their applications. Her research centers on distributed acoustic sensing, intelligent transportation systems, and deep learning for environmental and infrastructure monitoring. She has contributed to projects such as vehicle occupancy detection, cyclist safety datasets, and smart road infrastructure using sensor networks.

Her work integrates advanced machine learning techniques with real-world applications like traffic management and forest health diagnosis. Notable contributions include developing low-complexity ensemble learning models for pedestrian intent prediction and creating datasets for road safety analysis. Though no specific grants or awards are listed, her publications reflect a strong focus on sensor technology and data-driven solutions for urban and environmental challenges.

Labs or collaborative teams are not explicitly mentioned, but her research aligns with the school's broader initiatives in smart systems and data science.