I am a Full Professor at Johannes Kepler University (JKU) Linz, Austria, affiliated with the Institute of Computational Perception, where I lead the Multimedia Mining and Search (MMS) group. In addition, I am head of the Human-centered Artificial Intelligence (HCAI) group at the Linz Institute of Technology (LIT) AI Lab. My areas of expertise include recommender systems, user modeling, information retrieval, machine learning, natural language processing, multimedia, data analysis, and web mining.
I graduated in Computer Science from the Vienna University of Technology (TU Wien) and earned my PhD degree from JKU Linz. In addition, I 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.
I have been leading and co-leading projects funded by the Austrian Science Fund (FWF), the Austrian Research Promotion Agency (FFG), and the European Commission (EC). I also maintain collaborations with industry, for instance with Siemens, Spotify, and Deezer. Furthermore, I serve as consultant on the topics mentioned above.
I am also a passionate teacher and regularly give 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, I spent several guest lecturing stays among others at Universitat Pompeu Fabra Barcelona, Queen Mary University of London, and Kungliga Tekniska Högskolan Stockholm.
Publications
Peer-Reviewed Journal and Conference Papers
Muhammad Saad Saeed,
Shah Nawaz,
Marta Moscati,
Rohan Kumar Das,
Muhammad Salman Tahir,
Muhammad Zaigham Zaheer,
Muhammad Irzam Liaqat,
Muhammad Haris Khan,
Karthik Nandakumar,
Muhammad Haroon Yousaf,
Markus Schedl
A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments
Companion of the 32nd ACM International Conference on Multimedia (MM), 2024
Shahed Masoudian,
Koutini Khaled,
Markus Schedl,
Widmer Gerhard,
Navid Rekab-saz
Domain Information Control at Inference Time for Acoustic Scene Classification
31st European Signal Processing Conference, (EUSIPCO) 2023, Helsinki,Finland, September 4-8, 2023, 2023
Oleg Lesota,
Stefan Brandl,
Matthias Wenzel,
Alessandro B. Melchiorre,
Elisabeth Lex,
Navid Rekab-saz,
Markus Schedl
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September, 2022
Oleg Lesota,
Emilia Parada-Cabaleiro,
Stefan Brandl,
Elisabeth Lex,
Navid Rekab-saz,
Markus Schedl
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms
Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022
Book Chapters
Peter Knees,
Markus Schedl,
Bruce Ferwerda,
Audrey Laplante
Editors:
Mirjam Augstein,
Eelco Herder,
Wolfgang Wörndl
Chapter: Listener awareness in music recommender systems: directions and current trends
Personalized Human-Computer Interaction
De Gruyter Oldenbourg, 2023.
