Ozgur Izmirli, Associate Professor of Computer Science, Judith Ammerman '60 Director of The Ammerman Center for Arts & Technology (CAT)
Associate Professor of Computer Science
Judith Ammerman '60 Director of The Ammerman Center for Arts & Technology (CAT)
Joined Connecticut College: 1998
B.S., M.S., Ph.D. Middle East Technical University, research at the Center for Computer Research in Music and Acoustics, Stanford University
Content analysis of music audio
Music information retrieval
Music perception and cognition modeling
Multi-modal computer-user interfaces
Contact Ozgur Izmirli: email@example.com
Professor Izmirli teaches courses in computer science such as:
- Problem Solving with Computers
- Computers, Digital Audio and Physics
- Computer Organization
- Digital Sound Processing
- Music Synthesis and Composition (jointly with the Music department)
- Senior Research Seminar
He also mentors independent studies and summer research in both computer science and arts and technology.
Professor Izmirli is the Judith Ammerman '60 Director of The Ammerman Center for Arts and Technology (CAT). The Center brings together faculty and students via interdisciplinary projects, offers a certificate program for the students, and organizes colloquia and a biennial symposium for researchers and artists in the field of arts and technology.
Being one of the six interdisciplinary centers at Connecticut College, CAT has close ties to a variety of disciplines through its fellows in the computer science, music, art, dance,film studies, theater and English departments. Professor Izmirli has been affiliated with the Center and has served as associate director for technology since he joined Connecticut College in 1998.
Professor Izmirli's research interests are concentrated in models for music understanding, music information retrieval, digital signal processing related to music audio, music perception and cognition modeling and multi-modal computer-user interfaces. More specifically he has devised several models for key finding and modulation detection. His key finding algorithm ranked first in the independent MIREX evaluation in 2005. He has over 40 publications in conference proceedings and journals.
Some of Izmirli's recent publications include: “Cyclic Distance Patterns Among Spectra of Diatonic Sets: The Case of Instrument Sounds with Major and Minor Scales,” in the Journal of Computing in Musicology (2008); “Localized Key Finding from Audio Using Nonnegative Matrix Factorization for Segmentation,” Proceedings of the 8th International Conference on Music Information Retrieval (2007); “Audio Key Finding Using Low-Dimensional Spaces,” Proceedings of the 7th International Conference on Music Information Retrieval (2006); “Template Based Key Finding From Audio,” Proceedings of the International Computer Music Conference (2005); “Signatures and Pattern Anchoring for Score Following,” Journal of New Music Research (2005).
"My goal is to equip students with problem-solving skills and a generic knowledge of digital technology that facilitate interdisciplinary inquiry." - Ozgur Izmirli