معرفی
André Holzapfel is an Associate Professor of Media Technology specializing in Sound and Music Computing at KTH Royal Institute of Technology, working within the Division of Media Technology and Interaction Design. His research bridges computational analysis, ethnographic methods, and critical examination of AI's societal impact in artistic contexts, with particular focus on rhythm and Cretan music-dance traditions.
Holzapfel holds dual PhD degrees in Computer Science and Ethnomusicology (focusing on Cretan dance traditions), complemented by a Master's in Computer Science from the University of Crete (2006) and prior studies at Duesseldorf University of Applied Sciences (2004). His educational journey reflects his interdisciplinary approach spanning technical and cultural domains.
His research program centers on Computational Ethnomusicology—integrating quantitative computational methods with qualitative ethnographic approaches—and critically examines ethical, sustainability, and legal dimensions of AI in creative industries. Current work investigates environmental impacts of generative AI in radio broadcasting, micro-timing precision in AI-generated music, and historically informed electronic instrument design, revealing consistent innovation at the technology-arts-society intersection.
Though limited publication details appear in the source text, his scholarly trajectory demonstrates evolving focus from foundational rhythm analysis in Music Information Retrieval toward responsible AI frameworks, as evidenced by his 2023 NIME paper developing the Ethically Aligned Stakeholder Elicitation (EASE) methodology for Music-AI systems.
Holzapfel actively supervises master's thesis projects through KTH's Creative Media Technology group, including collaborations with the Royal College of Music (KMH) on motion-capture visualization and sonification of folk dance-music interactions. His supervision spans technical topics like AI beat tracking and critical explorations of sustainability in creative AI tools.
As a core member of the Creative Media Technology research team, he contributes to projects examining historically informed sound synthesis instruments, computational analysis of music corpora, and sustainable development practices for AI-driven artistic tools, emphasizing human-centered design principles in creative technology development.
