Teaching
I have substantial experience teaching a variety of undergraduate and graduate classes on a range of subjects such as Artificial Intelligence, Multimedia Search and Retrieval, Algorithms and Data Structures, Reinforcement Learning, and Audio and Music Processing. All of my teaching has taken place at the Johannes Kepler University Linz, Austria.
Course | Taught |
---|---|
Algorithms and Data Structures | 2014 |
Artificial Intelligence | 2010-2013, 2017, 2018 |
Artificial Intelligence in Media, Arts and Society | 2014, 2015, 2018, 2019 |
Audio and Music Processing | 2011-2015, 2019 |
Computational Engineering (Project) | 2013, 2018 |
Computational Engineering (Seminar) | 2013, 2018 |
Data Science (Project) | 2018 |
Data Science (Seminar) | 2018 |
Intelligent Information Systems (Seminar) | 2019 |
Machine Learning and Audio: a challenge | 2018, 2019 |
Multimedia Search and Retrieval | 2017, 2018 |
Reinforcement Learning | 2017, 2018, 2019 |
I have also (co-)supervised projects, bachelor’s master’s, and doctoral theses on a number of topics in the field of intelligent music processing.
Student | Thesis Title | Type | Year |
---|---|---|---|
Lúis Carvalho | Large-scale multi-modal music search and retrieval without symbolic representations | Doctoral | ongoing |
Charles Brazier | Live tracking and synchronisation of complex musical works via multi-modal analysis | Doctoral | ongoing |
William Freilinger | Machine Learning from Raw Audio Data | Master | ongoing |
Franz Berger | Large Scale Retrieval of Classical Music in Audio and Sheet Music | Master | ongoing |
Adrian Tappe | Multiple Sequence Alignment | Master | ongoing |
Paul Primus | Interpretability of Deep Machine Learning Models | Master | 2019 |
David Eitelsebner | Fast and Robust Melody Matching | Bachelor | 2019 |
Nimrod Varga | Learning the “Vowel Worm” | Bachelor | 2019 |
Hannes Schauer | Automatic Music Accompaniment via On-line Time Warping and Kalman Filter | Master | 2017 |
Michael Klopf | Instrumentation Annotator Annotation Tool for Classical Music | Project | 2016 |
Johannes Pieringer | On-line Event Detection in Music Performances | Master | 2014 |
Andreas Grimmer | On-line Singing Voice Detection | Project | 2014 |
Michael Traxler | Implementation of a Model for the Transcription of Single-Voice Melodies | Bachelor | 2014 |
Anela Lolic | Detecting Mistakes in Music Performances: An Automatic Music Tutor | Bachelor | 2014 |
Manuel Wöss | Rhythm-Based Genre Classification using the Spectrum Kernel and Support Vector Machines | Bachelor | 2013 |
Adrian Tappe | Score Retrieval with Dynamic Time Warping | Bachelor | 2013 |
Filip Korzeniowski | Real-time Capable Singer Tracking Using Pitch and Lyrics Information | Master | 2011 |