Peter Knees

Associate Professor Peter Knees holds a position at the Technische Universität Wien's Faculty of Informatics, specifically within the Department of Data Science. He serves as a Curriculum Coordinator for the Bachelor's Specialization in Artificial Intelligence and Machine Learning. His research focuses on Information Retrieval, Music Information Retrieval, Recommender Systems, and Digital Humanism. Knees has coordinated major projects such as the Vienna Doctoral College on Digital Humanism (2024–2029) and contributes to initiatives like FAIR-AI and HumRec. He teaches courses including Digital Humanism and Introduction to Information Retrieval. His work bridges technical innovation with ethical considerations, emphasizing transparency and fairness in AI systems.

Education: Holds Dipl.-Ing. (TU Wien) and Dr.techn. (Technical Doctorate). His interdisciplinary projects span music technology, ethical AI, and smart grid systems. He has supervised numerous theses on topics like music recommendation algorithms and audio processing techniques.

Research Interests: Explores intersections of music technology and AI, including content-driven recommendation systems, reproducibility in machine learning, and the societal impact of digital technologies. Recent work emphasizes ethical frameworks for recommender systems and human-centered design principles.

Grants & Projects: Lead roles in WWTF-funded Digital Humanism initiatives, FFG projects on AI innovation, and EU-backed MIR research. Active in organizing conferences like RecSys and ISMIR workshops.

Labs/Teams: Involved with the Vienna Doctoral College, TU Wien's Data Science group, and collaborations with institutions like ASEA-UNINET for ethnomusicology data integration. Leads efforts in neural-symbolic systems for smart grids and generative music interfaces.