Scholar
George Fazekas
Google Scholar ID: ucCX0ecAAAAJ
Reader in Semantic Audio, Queen Mary University of London
Citations & Impact
Citations
3,998
H-index
30
i10-index
78
Publications
20
Co-authors
159
list available
Publications
Resume (English only)
Academic Achievements
- Co-authored several award-winning papers with PhD students, including 'Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation' which won the Best Student Paper Award at KDIR 2024, 'MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models' which won the Best Paper Award at ISMIR 2024, and 'General Purpose Audio Effect Removal' which won the Best Paper Award at WASPAA 2023.
Research Experience
- Professor at Queen Mary University of London (QMUL), supervising multiple PhD students. Involved in organizing academic conferences and events, such as the Muse Hub Hackathon.
Background
- Main research interest is Semantic Audio, an interdisciplinary field combining Digital Signal Processing, Machine Learning (including Deep Learning), and various knowledge representation and sharing technologies such as Semantic Web Ontologies, Linked-data, knowledge-based reasoning, and the Semantic Web. Interested in extracting, analyzing, and linking data about music and developing applications that use semantic metadata.
Miscellany
- Active in discussions on AI ethics and societal impact, co-chair of QMUL's new AI, Ethics and Society Group.
