Yudong Zhao

Yudong Zhao is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on audio signal processing, machine learning applications in music analysis, and cybersecurity for edge computing systems. He has conducted extensive work on violinist identification through acoustic feature extraction and has explored efficient secure inference mechanisms for on-device language models. Additionally, he contributed to the design of multi-channel GNSS data acquisition platforms in 2017.

Research interests include music information retrieval using short-term note features, vibrato analysis, and transfer learning methodologies. His recent work emphasizes secure on-device processing of large language models while mitigating key-value leakage risks. The violinist identification studies span multiple years and employ diverse feature engineering techniques including timbre distributions and temporal patterns.

Publications span both music technology and embedded systems domains, reflecting interdisciplinary research strengths. No scientific awards are explicitly mentioned, though his work indicates impactful contributions in specialized technical areas. Affiliated with the School's research groups focusing on electronic engineering and computer science applications.