Scholar
Markus Schedl
Google Scholar ID: TQR8qIEAAAAJ
Professor at Johannes Kepler University Linz, Institute of Computational Perception
Citations & Impact
Citations
7,637
H-index
44
i10-index
153
Publications
20
Co-authors
47
list available
Publications
Resume (English only)
Academic Achievements
- He has been involved in multiple research projects funded by important institutions and has extensive collaborations with the industry. He is also very active in teaching, offering various relevant courses.
Research Experience
- He has been leading and co-leading projects funded by the Austrian Science Fund (FWF), the Austrian Research Promotion Agency (FFG), and the European Commission (EC). He also maintains collaborations with industry, for instance with Siemens, Spotify, and Deezer. Furthermore, he serves as a consultant on the topics mentioned above. He is also a passionate teacher and regularly gives courses at JKU (Introduction to Machine Learning, Multimedia Search and Retrieval, Learning from User-generated Data, Multimedia Data Mining, and Social Media Mining and Analysis). In addition, he spent several guest lecturing stays among others at Universitat Pompeu Fabra Barcelona, Queen Mary University of London, and Kungliga Tekniska Högskolan Stockholm.
Education
- He graduated in Computer Science from the Vienna University of Technology (TU Wien) and earned his PhD degree from JKU Linz. In addition, he studied International Business Administration at the Vienna University of Economics and Business (WU Wien) and the University of Gothenburg (School of Business, Economics and Law), which led to a Master's degree.
Background
- He is a Full Professor at Johannes Kepler University (JKU) Linz, Austria, affiliated with the Institute of Computational Perception, where he leads the Multimedia Mining and Search (MMS) group. Additionally, he heads the Human-centered Artificial Intelligence (HCAI) group at the Linz Institute of Technology (LIT) AI Lab. His areas of expertise include recommender systems, information retrieval, algorithmic fairness, user modeling, machine learning, natural language processing, multimedia, data analysis, and web mining.
Miscellany
- He is a passionate teacher and frequently lectures at different universities.
