People

Luca Turchet is an Associate Professor at the Department of Information Engineering and Computer Science of University of Trento, where he leads the Creative, Intelligent and Multisensory Interactions Laboratory and is coordinator of the Research and Teaching Laboratory “Multisensory Interactions”. He received master degrees (summa cum laude) in Computer Science from University of Verona, in classical guitar and composition from Music Conservatory of Verona, and in electronic music from the Royal College of Music of Stockholm. He received the Ph.D. in Media Technology from Aalborg University Copenhagen. His scientific, artistic, and entrepreneurial research has been supported by numerous grants from different funding agencies including the European Commission, the European Institute of Innovation and Technology, the European Space Agency, Italian Minister of University and Research, the Italian Minister of Foreign Affairs, and the Danish Research Council. He is the Chair of the IEEE Emerging Technology Initiative on the Internet of Sounds, and the founding president of the Internet of Sounds Research Network. He is co-founder of the company Elk Audio AB, which operates in the sector of Music Technology. He serves as an associate editor for IEEE Access and the Journal of the Audio Engineering Society, and he is co-editor of the book “Ubiquitous Music Ecologies”. He has served as a guest editor of special issues of IEEE Communications Magazine, Journal of the Audio Engineering Society, Personal and Ubiquitous Computing Journal, Frontiers in Virtual Reality, and Digital Creativity. He is the founder and General Chair of the International Symposium on the Internet of Sounds, and is Steering Committee Member of the Audio Mostly International Conference. He is board member of the Italian section of the Audio Engineering Society. His main research interests are in music technology, Internet of Things, human-computer interaction, and perception. More information at: www.lucaturchet.it

Alberto Boem is a researcher and artist interested in multisensory interactions in the context of immersive media. He holds a Ph.D. in Human-Computer Interaction from the University of Tsukuba (JP), where he conducted research on deformable and shape-changing interfaces. He has worked with several companies and institution (between Europe and Japan) in the creation of interfaces for performing arts, public interactive installations, VR and AR applications for entertainment and industrial training. His artistic work has been presented at international venues such as Ars Electronica Festival (AT), Piksel Festival (NO), SONAR +D (SP), Margaret Guthman Musical Instrument Competition (USA), MNAC (RO). His research work has been published in conference proceedings such as ACM DIS, IEEE VR, NIME, and international journals such as AI&Society. At the CIMI Lab he works on designing and testing novel XR systems for music making. www.albertoboem.com

Domenico Stefani is a postdoctoral researcher at the Department of Information Engineering and Computer Science of University of Trento. He received the PhD in computer science (in 2024) and the master’s degree (summa cum laude) in computer science (in 2020) from the University of Trento, Italy. His research interests include embedded audio, real-time music information retrieval and smart musical instruments.

Luca Vignati is a PhD candidate in Industrial Innovation at the Department of Information Engineering and Computer Science of University of Trento. He studied Computer and Electronic Engineering (B.Sc.) at the University of Pavia, Italy, and Computer Science and Engineering (M.Sc.) at Politecnico di Milano, Italy. He carried out his master thesis at the music tech company Elk porting the Elk Audio OS operating system to a previously unsupported System on Chip. He has been awarded of a post thesis scholarship from the University of Trento, and a research scholarship from Fondazione C.M. Lerici. His PhD focuses on network simulations and real-time audio packet loss concealment methods.

Nishal Silva is a PhD student at the Department of Information Engineering and Computer Science of University of Trento. He received his M.Sc in Telecommunication and Electronic Engineering from Sheffield Hallam University. He received his B.Eng (Hons) in Electronic Engineering from Sheffield Hallam University. His research interests are in symbolic music information retrieval and smart musical instruments.

Matteo Tomasetti is a PhD candidate at the Department of Information Engineering and Computer Science of University of Trento. He studied Digital Signal Processing and Sound Design (B.Sc) at the Conservatory of Pesaro, and Audiovisual Composition, 3D Audio and Virtual Reality (M.Sc) at the Conservatory of Frosinone and at the IEM (Institut für Elektronische Musik und Akustik) in Graz, with a thesis focused on interactive music composition experiences in VR environments. His research interests are Extended Reality and music composition, human-computer interaction and immersive audio.

Michele Rossi is a PhD candidate at the Department of Information Engineering and Computer Science of University of Trento, within the National PhD Programme in Artificial Intelligence. He received his master’s degree in Information and Communication Engineering at the University of Trento. His PhD topic concerns the tuning of music information retrieval models via evolutionary computing techniques. His main research interests are related to the fields of music information retrieval, genetic algorithms, and deep learning. He teaches modern guitar in a musical association and is passionate about mixing and mastering.

Michele Romani is a PhD student at the Department of Information Engineering and Computer Science at the University of Trento. He works on Brain-Computer Interfaces for Gaming in collaboration with G.Tec Medical Engineering, a partner company based in Linz, Austria, and Barcelona, Spain. He has studied Situated Interaction at Université Paris-Saclay and Intelligent Systems at the University of Twente as part of the double-degree program in Human-Computer Interaction & Design sponsored by the EIT Digital Master School. His master thesis on Emotion-Recognition during pop music listening has paved the way for his research on machine learning applications with neural interfaces, the main focus of his PhD. His goal is to incorporate bio-signals as a reliable input system, enhancing user’s sense of control and strengthening trust and empathy between humans and machines.

Gregorio Andrea Giudici is a PhD candidate at the Department of Information Engineering and Computer Science of University of Trento, funded by the Italian National Recovery and Resilience Plan. He received his master’s degree (summa cum laude) in Electronic Engineering, curriculum Electronic Systems for Digital Audio Applications, from the Polytechnic University of Marche in Ancona, Italy, with a thesis about a compression algorithm of neural models for audio generation. His research interests include real-time audio/music generation, psychologic and psycoacoustic aspects of musician-AI interaction and smart musical instruments.