About me
Welcome! My name is Tristan Repolusk and I'm a Digital Humanities researcher, with special focus on the application of artificial intelligence.
Research interests
My research is about the development of Artificial Intelligence for preservation and dissemination of intangible cultural heritage. This includes musical notations such as the Chinese notation suzipu 俗字譜.
- Artificial Intelligence
- Digital Humanities
- Digitization of musical notations
- Optical Music Recognition
Education
Doctoral thesis, Graz University of Technology (Computer Science): "SuziAI: Digital Encoding, Optical Music Recognition, and Stylistic Generation for Song Dynasty Chinese Music in Jiang Kui’s Baishidaoren Gequ", supervised by Eduardo Veas and Stefan Thonhauser.
Master's thesis, University of Graz (Mathematics): "Enhancing a C++ Program Solving Time Fractional PDEs", supervised by Gundolf Haase.
Bachelor's thesis, University of Graz (Mathematics): "The Cut-Off Phenomenon in Finite Ergodic Markov Chains", supervised by Wolfgang Woess.
English (UK) 
Deutsch (Österreich)