[2022]	International Conference on Web Engineering (ICWE) Program Chair
[2020]	International Society for Music Information Retrieval Conference (ISMIR) Program Chair
[2013–2019]	MediaEval Benchmark: “Multimedia Recommender Systems“, “Recommending Movies Using Content“, “Affective Impact of Movies“, “Affect Task: Violent Scenes Detection“
[2018]	ACM RecSys Challenge
[2018–2019]	Workshop on Intelligent Music Interfaces for Listening and Creation (MILC)
[2017]	Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE)
[2011–2013]	MusiCLEF Benchmarking Activity
[2014–2015]	International Workshop on Social Media Retrieval and Analysis (SoMeRA)
[2011]	International Workshop on Search and Mining User-generated Contents (SMUC)
[2010]	International Workshop on Adaptive Multimedia Retrieval (AMR)
[2009–2012]	International Workshop on Advances in Music Information Research (AdMIRe)

[2017–]	Transactions of the International Society for Music Information Retrieval Editorial Board Member
[2014–]	International Journal of Multimedia Information Retrieval, Springer Editorial Board Member
[2020]	International Journal of Multimedia Information Retrieval, Special Issue on Multimedia Recommendation Systems, Springer Guest Editor of Special Issue
[2019]	User Modeling and User-Adapted Interaction (UMUAI) - The Personalization Journal, Special Issue on User Modeling for Personalized Interaction with Music, Springer Guest Editor of Special Issue
[2016]	Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Music Systems and Applications, ACM Guest Editor of Special Issue
[2013–2014]	Working Notes Proceedings of the MediaEval Workshop, CEUR-WS Co-editor
[2013]	International Journal of Multimedia Information Retrieval, Special Issue on Hybrid Music Information Retrieval, Springer Guest Editor of Special Issue
[2012]	Dagstuhl Follow-Ups, Vol. 3: Multimodal Music Processing, Dagstuhl Publishing Co-editor

I have served in the technical program committee of more than 50 conferences and workshops, including the following:

[2019–]	ACM Conference on User Modeling, Adaptation, and Personalization (UMAP) Track Chair PC Member
[2018–]	The Web Conference (formerly World Wide Web Conference) PC Member
[2018–]	ACM Multimedia Area Chair PC Member
[2017–]	ACM Conference on Recommender Systems (RecSys) Doctoral Symposium Chair Senior PC Member PC Member
[2017]	ACM International Conference on Multimedia Retrieval (ICMR) PC Member
[2010–]	International Society for Music Information Retrieval Conference (ISMIR) Program Chair PC Member

I have served as a reviewer for more than 30 scientific journals, including the following:

[2021–]	Proceedings of the National Academy of Sciences of the United States of America
[2021–]	Nature Scientific Reports
[2021–]	Royal Society Open Science
[2021–]	PLOS ONE
[2021–]	Journal of Business Research
[2021–]	Elsevier Brain Research
[2021–]	Springer User Modeling and User-Adapted Interaction (UMUAI) - The Personalization Journal
[2020–]	IEEE Transactions on Affective Computing
[2019–]	Elsevier Artificial Intelligence
[2017–]	Elsevier Information Processing & Management
[2017–]	ACM Transactions on Multimedia Computing, Communications, and Applications
[2016–]	ACM Computing Surveys
[2015–]	Journal of the Association for Information Science and Technology
[2015–]	Elsevier International Journal of Human-Computer Studies
[2015–]	Elsevier Pattern Recognition Letters
[2013–]	IEEE Transactions on Multimedia
[2013–]	IEEE Signal Processing Letters
[2012–]	IEEE Transactions on Audio, Speech, and Language Processing

[2022–]	German Research Foundation
[2020–]	Israel Science Foundation
[2018–]	Dutch Research Council
[2013–]	Swiss National Science Foundation

I was invited to give more than 30 research seminars at top universities and research institutions, a selection of which can be found in the following:

[2018]	Technische Universität Darmstadt “Multimodal Data Analysis: Machine Learning and Personalized Recommendation in the Music Domain”
[2018]	Dagstuhl Seminar “User-generated Content in Social Media”
[2017]	Universitat Pompeu Fabra Barcelona “Analyzing and Exploiting User-generated Listening Data for Listener Modeling and Music Recommendation”
[2013]	Kungliga Tekniska Högskolan Stockholm “Mining User-generated Data for Music Information Retrieval”
[2012]	Universiteit van Amsterdam “Social Media Mining for Listening Behavior Analysis”
[2011]	Queen Mary University of London “The (Social) Web and Music, Stars and the Like”
[2011]	Dagstuhl Seminar “Multimodal Music Processing”

In addition, I have presented our work at major research venues, delivering more than 100 research talks and poster presentations at conferences and workshops. These include The Web Conference (formerly Word Wide Web Conference), ACM Conference on Recommender Systems (RecSys), ACM SIGIR Conference on Research and Development in Information Retrieval, ACM International Conference on Multimedia Retrieval (ICMR), International Conference on User Modeling, Adaptation and Personalization (UMAP), and International Society for Music Information Retrieval Conference (ISMIR).

I have been teaching a selection of courses, including lectures, labs, and seminars at JKU and FH Salzburg, most of which I designed from scratch. In addition, I was invited to give a multitude of guest lectures, among many others at Universitat Pompeu Fabra Barcelona, Queen Mary University of London, and Kungliga Tekniska Högskolan Stockholm. Furthermore, I initiated a vivid student exchange program within the Erasmus+ framework between JKU and Eindhoven University of Technology.

Johannes Kepler University Linz (JKU):
[2018–]	Introduction to Machine Learning
[2015–]	Multimedia Data Mining
[2015–]	Social Media Mining and Analysis
[2015–]	PhD Seminar
[2014–]	Learning from User-generated Data
[2013–]	Multimedia Search and Retrieval
[2010–2016]	Exploratory Data Analysis
[2008–2013]	Music Information Retrieval
University of Applied Sciences Salzburg (FH Salzburg):
[2017–2019]	Data Mining
[2016–2018]	Recommender Systems
[2013–2017]	Intelligent Systems 1+2

I am also frequently invited to give tutorials to a scientific audience, among others at The Web Conference (formerly WWW Conference), ACM RecSys, ACM SIGIR, and ACM Multimedia. In these tutorials, I covered topics such as “Complex Recommendations” (WWW 2018), “New Paths in Music Recommender Systems Research” (RecSys 2017), “Music Retrieval and Recommendation” (SIGIR 2015), and “Multimedia Information Retrieval: Music and Audio” (ACM Multimedia 2013).

The following is a selection of PhD theses and MSc theses I supervised.

PhD Theses:
[2021–]	Marta Moscati
[2020–]	Harald Victor Schweiger
[2020–]	David Penz
[2020–]	Oleg Lesota
[2019–]	Alessandro B. Melchiorre, “Explainable Music Recommender Systems“
[2014–2019]	Andreu Vall, “Machine Learning Approaches to Hybrid Music Recommender Systems“
[2013–2016]	Bruce Ferwerda, “Improving the User Experience of Music Recommender Systems Through Personality and Cultural Information“
MSc Theses:
[2021]	Majd Azzam, “Hybrid Music Recommendation Approach for Heterogeneous Information Network Using Factorization Machines“
[2021]	Patrick Fritsch, “Multimodal Document Classification“
[2020]	Michael Mayr, “Interactive Visualization of Large Music Repositories“
[2019]	Daniela Moitzi, “Development of a Sheet Music Recommendation System for Pianists“
[2019]	Florian Klausner, “Personality Regression From Digital User Traces“
[2018]	Harald Rogner, “Multimodal Music Video Classification“
[2017]	Mhd Mousa Hamad, “Controversy Detection of Music Artists“
[2016]	Thomas Krismayer, “Prediction of User Traits from Music Listening Habits“ (received the ÖGAI Award 2017)
[2013]	Georg Breitschopf, “Personalized, Context-Aware Music Playlist Generation on Mobile Devices“
[2012]	Markus Dopler, “Hierarchical Navigation Through Music Collections via Audio and Web Data“
[2011]	Michael Aufreiter, “Web-based Information Visualization“
[2010]	Christian Höglinger, “A Hierarchical, Three-dimensional User Interface for Exploring Large Music Collections“
[2006]	Klaus Seyerlehner, “Content-based Similarity Metrics for Navigating in Music Collections“