We are a (still) young and growing institute with innovative projects and motivated junior researchers. Our research and teaching focus on Artificial Intelligence and Machine Learning. We develop and study computational models and algorithms that allow computers to perceive and 'understand' aspects in the external world, and where we interpret 'perception' in the widest sense of the word as extracting useful, high-level information and knowledge from complex, possibly low-level data (audio, video, image, text, sensor data, and user-item interaction data).
Our pursuits require conducting fundamental and applied research in AI, machine learning, pattern recognition, text / data / social media mining, signal processing, statistical data modeling, and classification.
Our current research focuses particularly on intelligent audio and music processing. We are among worldwide leading research groups in the fields of Music Information Research (MIR), Sound and Music Computing (SMC), and Acoustic Scene & Event Recognition (DCASE). Additional research topics include image processing, biometrics, cryptography, and personalization.
Embedded within the Institute of Computational Perception, the Multimedia Mining and Search (MMS) and Human-centered Artificial Intelligence (HCAI), opens an external URL in a new window groups target research in Recommender Systems (RS), Information Retrieval (IR), Natural Language Processing (NLP), and Affective Computing, focusing strongly on ethical considerations (such as fairness aspects, explainability, and trusting AI technology).
Our goal is to offer state-of-the-art research and university-level courses in this area, as well as create an educational environment that allows students to get involved in hands-on, real-world research projects as early as possible.
If you would like to visit us, we have offices in both Linz and in Vienna (see the info box to the right).

Address
Johannes Kepler Universität Linz
Altenberger Straße 69
4040 Linz
Location
Science Park 3, 4th floor (Linz)
Wiesingerstr. 4, 2nd floor (1010 Vienna)
Biberstraße 11/14, 4th floor (1010 Vienna)
OFFICE HOURS - ADMINISTRATION
Monday-Thursday: 7.30 AM - 3:00 PM
Phone
+43 732 2468 4700 (Linz)
+43 664 602468478 (Vienna)
News & Events
Talk at the Austrian Cultural Forum Cairo
with Gerhard Widmer
Con Espressione! AI and the Human Essence in Music
Three Awards for CP-Researchers at DCASE Workshop 2024
We’re happy to announce that Jonathan Greif received the Best Student Paper Award for his paper “Improving Query-by-Vocal Imitation with Contrastive Learning and Audio Pre-Training” at the DCASE Workshop 2024. Additionally, our research team received two Judges’ Awards for their submissions to the “Sound Event Detection” and “Language-Based Audio Retrieval” tasks of the IEEE AASP DCASE Challenge 2024.

Markus Schedl to co-organize the most important conference on recommender systems: ACM Recommender Systems 2025.
Prof. Markus Schedl will co-organize the 19th ACM Conference on Recommender Systems (RecSys 2025), the leading international event dedicated to advancing research, systems, and techniques in recommender systems. Taking place in Prague, Czech Republic, from September 22–26, 2025, RecSys 2025 will bring together top researchers, industry experts, and practitioners to explore the latest trends and challenges in the field. Markus Schedl, alongside co-organizers Maria Bielikova and Pavel Kordik, aims to foster an inclusive and accessible environment for meaningful discussions and collaboration.

Special Issue on Trustworthy Recommender Systems, co-edited by Markus Schedl, has been published in the ACM Transactions on Recommender Systems
The paper Introduction to the Special Issue on Trustworthy Recommender System, with co-editor Prof. Markus Schedl has been published in the ACM Transactions on Recommender
Systems.