Dr. Marcello Lussana

Marcello Lussana has been a postdoctoral researcher at the “Computational Humanities” chair since March 2026.
In 2004, he completed his studies in Foreign Languages and Literatures at the University of Bergamo (Italy) and earned a master’s degree in Technology and Communication in Turin (Italy) in 2005. In 2010, he completed the master’s program in “Sound Studies” at the Berlin University of the Arts (UdK). From 2012 to 2019, he worked as a composer and programmer for interactive music systems on various projects, including MotionComposer and Metabody.  From 2024 to 2025, he worked on the “Innovations for Artistic Teaching (InKüLe)” project at the Berlin University of the Arts, focusing on interactive technologies and sound workshops. During the same period, he taught sound design at the Lette-Verein Berlin. In early 2026, he completed his Ph.D. in musicology at Humboldt University of Berlin. In his dissertation, he examined the influence of the Sentire system—a system he co-founded that sonifies proximity and touch—on bodily perception through interactive music systems.

His research interests include computer music, interactive music systems and body perception, sound design, soundscape research, as well as computer-aided methods and machine learning for sound analysis and generation.

In his current research at the University of Bamberg, he is investigating the extent to which the mental relaxation potential of everyday soundscapes can be predicted using AI-based audio analysis. He employs a multimodal approach that utilizes not only the acoustic and psychoacoustic properties of the audio signal but also subjective annotations from questionnaires and interviews to predict this potential. The findings will subsequently be used to synthesize personalized and evidence-based soundscapes for applications in the fields of urban planning, health, care, as well as history and cultural heritage. By advancing both theoretical understanding and practical applications, this research has the potential to establish data-driven methods for evaluating soundscapes and to make their impact on public health and well-being tangible.