Biography
Emmanouil Karystinaios is a Ph.D. Student of artificial intelligence at the Computational Perception Institute of Johannes Kepler University. His research interests include Computational Musicology, Graph Neural Networks and Music Information Retrieval. Currently, he is working on Automatic Analysis of Symbolic Music using Graph Neural Networks (GNNs).
His past and current work includes, Cadence Detection, Structural Segmentation, and Similarity Metrics for Piano Performances.
Download my resumé.
- Graph Neural Networks
- Structure Segmentation in Symbolic Music
- Music Information Retrieval
PhD in Artificial Intelligence, 2020-
Johannes Kepler University
M.Sc. in Mathematical Logic (Mathematics), 2018-2020
Université Paris 7 Diderot
M.A. in Musical Programming and Composition, 2017-2019
Université Paris 8 Vincennes
B.A. in Musicology and Composition, 2012-2017
Aristotle University of Thessaloniki
