George Fazekas

Dr. George Fazekas is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on semantic audio, music information retrieval, and deep learning applications in music technology. He is affiliated with the Centre for Multimodal AI and contributes to advancing technologies like semantic web music, emotion recognition, and differentiable signal processing. His teaching includes modules on research methods, responsible innovation, and the Semantic Web.

Research interests span semantic audio analysis, music ontology development, and AI-driven music production tools. He has collaborated on projects such as the Open Multitrack Testbed and the Audio Commons Ontology. Notable contributions include work on handwritten music synthesis, dynamic range compressor control, and adaptive music systems like Mood Conductor.

Publications emphasize machine learning for music tasks, including few-shot learning for historical manuscripts and neural synthesis techniques. His work bridges theoretical research with practical applications in audio engineering and music technology.