- Cognitive Science
- Music Theory
- Computer Science
- +۳ مورد دیگر
Panayotis Mavromatis is an Associate Professor of Music and Music Education at New York University's Steinhardt School of Culture, Education, and Human Development. He holds affiliations with the Department of Music and Performing Arts Professions. His work bridges cognitive science, linguistics, and computer science with traditional music disciplines such as Schenkerian theory and post-tonal theory. B.A. and M.A. in Mathematics, Cambridge University M.A. in Physics, Boston University Ph.D. in Music Theory, Eastman School of Music (University of Rochester) His research focuses on mathematical modeling of musical structures, computational modeling of musical skill acquisition, and educational applications via Intelligent Tutoring Systems (ITS). Notable projects include computational models of modern Greek church chant and expressive timing analysis in music performance. Publications emphasize interdisciplinary approaches: applying hidden Markov models to melody production, multi-tiered analysis of performance timing, and integrating process-based learning into ITS for tonal counterpoint. His work spans theoretical contributions to practical educational tools. No scientific awards are explicitly listed in the provided text. Advising/grants section: No specific advisees or grant details are mentioned. His research aligns with NYU Steinhardt’s Music Education programs focusing on pedagogical innovation and cultural transmission. Labs/teams: While no specific lab names are provided, his research involves computational modeling frameworks and collaborations in interdisciplinary musicology.









