Dorien Herremans is currently a Marie sklodowska-Curie Postdoctoral Fellow at the Centre for Digital Music at Queen Mary University of London. She is currently working on the project: ``MorpheuS: Hybrid Machine Learning – Optimization techniques To Generate Structured Music Through Morphing And Fusion''. She received her Ph.D. on the topic of Computer Generation and Classification of Music through Operations Research Methods. She graduated as a commercial engineer in management information systems at the University of Antwerp in 2005. After that, she worked as a Drupal consultant and was an IT lecturer at the Les Roches University in Bluche, Switzerland. She also worked as a mandaatassistent at the University of Antwerp, in the domain of operations managment, supply chain management and operations research. Dr. Herremans' research interests include machine learning and music for automatic music generation, data mining for music classification (hit prediction) and novel applications in the intersections of machine learning/optimization and music.
- MorpheuS: generating music with long term structure
- A model for tonal tension based on the spiral array
- Generating counterpoint with optimization techniques
- Generating music with composer specific characteristics (Android app FuX).
- Dance hit song prediction
- Combining machine learning for evaluating music in an optimization context. Generating bagana music.
- Generating automatic piano fingerings with Iterated Local Search
- A computer aided guitar solo generation system (using exact optimization techniques)
Reviewer: European Journal of Operations Research (EJOR), Journal of New Music Research, Expert Systems With Applications, ACM Transactions on Intelligent Systems and Technology, IEEE/ACM Transactions on Audio, Speech and Language Processing, IEEE Transactions on Multimedia, Knowledge Based Systems, Journal of Mathematics and Music, International Conference on Fuzzy System and Data Mining (FSDM), Springer book on Computational Music Analysis, MUME (International Workshop on Musical Metacreation), IEEE TENCON.
PC-member: ISMIR (International Society of Music Information Retrieval), CP (International Conference on Principle and Practice of Constraint Programming), MCM (International Conference on Mathematics and Music), MML (International Workshop on Music and Machine Learning, part of ECML/PKDD), International Workshop on Cognitive Robotics and Computational Creativity (part of IEEE Conference on Robotic Computing).
PhD co-supervisor of Janis Sokolovskis (together with Elaine Chew) on New Technologies For Piano Learning at Queen Mary University of london.
Part of the Music Performance and Expression group MuPaE, the ANT/OR research group in Antwerp and the Music Informatics Group in San Sebastian. For an up to date list of publications and talks, see here.