Regular biography
Magdalena Fuentes is an Assistant Professor at New York University's Department of Computer Science. Her research interests include Music Technology and Integrated Design & Media. Fuentes holds a position within the university's Computer Science department, where she contributes to academic and research activities. Her work focuses on interdisciplinary approaches that merge technology with creative fields. She is affiliated with the university's dynamic academic environment, which supports innovation and collaboration. Fuentes' profile page provides further details about her research and contributions to the field.
Scholar-generated biography
Magdalena Fuentes is an Assistant Professor of Music Technology and Integrated Design & Media at NYU, specializing in Machine Listening, Music Information Retrieval, Audio Signal Processing, and Machine Learning. Her research focuses on developing computational methods for analyzing and understanding audio signals, with applications in sound event detection, music structure analysis, and audio-visual scene understanding. She has contributed to the creation of datasets such as SONYC-UST-V2 and Urban Sound & Sight, which support research in urban sound tagging and multimodal analysis. Her work also explores deep learning systems for downbeat tracking, tempo estimation, and sound source distance estimation, emphasizing reproducibility and robustness in audio processing.