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Contact

• work
• Marco.Amerotti@nottingham.ac.uk

Biography

Marco Amerotti is a PhD student at the Mixed Reality Lab at the ÌÇÐÄÔ­´´ in the UK Turing AI fellowship ; within the fellowship, he is responsible for the "" project.

He previously worked as a researcher at the Royal Institute of Technology in Stockholm within the ERC project "". He obtained an MSc in Computer Science from KTH Royal Institute of Technology in Stockholm, Sweden, and a BSc in Computer Science and a BSc in Philosophy from the University of Bologna, Italy.

Research Summary

His research focuses on musical AI, particularly on AI-generated, interactive co-performance of Irish traditional dance music. He developed the music performance system "LOERIC", which has been… read more

Recent Publications

• AMEROTTI, MARCO, 2026. TradJockey: Live Remixing a Performance System for Traditional Music In: Creative AI for Live Interactive Performances.
• AMEROTTI, MARCO, BENFORD, STEVE, STURM, BOB L. T. and VEAR, CRAIG, 2026. A Live Performance Rule System Informed by Irish Traditional Dance Music In: Music and Sound Generation in the AI Era. 127-139
• AMEROTTI, MARCO, BENFORD, STEVE, STURM, BOB L. T. and AVILA, JUAN MARTINEZ, 2025. The Virtual Session: Synchronizing Multiple Virtual Musicians Simulating an Irish Traditional Music Session In: Proceedings of the International Computer Music Conference.
• AMEROTTI, MARCO, STURM, BOB, BENFORD, STEVE, MARURI-AGUILAR, HUGO and VEAR, CRAIG, 2024. Evaluation of an Interactive Music Performance System in the Context of Irish Traditional Dance Music In: New Interfaces for Musical Expression (NIME), NIME’24, 4-6 September, Utrecht, The Netherlands.

• View all publications

• accompanying Amerotti et al. "A Live Performance Rule System Informed by Irish Traditional Dance Music". In: Ystad, S., Kronland-Martinet, R., Kitahara, T., Hirata, K., Aramaki, M. (eds) "Music and Sound Generation in the AI Era". CMMR 2023. Lecture Notes in Computer Science, vol 15236, 2026.
• accompanying Amerotti et al. "The Virtual Session: Synchronizing Multiple Virtual Musicians Simulating an Irish Traditional Music Session". Proceedings from ICMC'25, the International Computer Music Conference, 2025.
• accompanying Amerotti, M. "TradJockey: Live Remixing a Performance System for Traditional Music". In: Woodward, K., Falcon-Caro, A., Ramchurn, R., Benford, S. (eds) "Creative AI for Live Interactive Performanes workshop 2026". CLIP 2026. Communications in Computer and Information Science, vol 2865, 2026.

Current Research

His research focuses on musical AI, particularly on AI-generated, interactive co-performance of Irish traditional dance music. He developed the music performance system "", which has been featured in a variety of publications and concerts in Sweden and the UK.

• AMEROTTI, MARCO, 2026. TradJockey: Live Remixing a Performance System for Traditional Music In: Creative AI for Live Interactive Performances.
• AMEROTTI, MARCO, BENFORD, STEVE, STURM, BOB L. T. and VEAR, CRAIG, 2026. A Live Performance Rule System Informed by Irish Traditional Dance Music In: Music and Sound Generation in the AI Era. 127-139
• AMEROTTI, MARCO, BENFORD, STEVE, STURM, BOB L. T. and AVILA, JUAN MARTINEZ, 2025. The Virtual Session: Synchronizing Multiple Virtual Musicians Simulating an Irish Traditional Music Session In: Proceedings of the International Computer Music Conference.
• AMEROTTI, MARCO, STURM, BOB, BENFORD, STEVE, MARURI-AGUILAR, HUGO and VEAR, CRAIG, 2024. Evaluation of an Interactive Music Performance System in the Context of Irish Traditional Dance Music In: New Interfaces for Musical Expression (NIME), NIME’24, 4-6 September, Utrecht, The Netherlands.
• BENFORD, STEVE, AMEROTTI, MARCO, STURM, BOB L. T. and MARTINEZ AVILA, JUAN, 2024. Negotiating Autonomy and Trust when Performing with an AI Musician In: Proceedings of the Second International Symposium on Trustworthy Autonomous Systems. 1-10
• STURM, BOB, AMEROTTI, MARCO, DALMAZZO, DAVID, CROS VILA, LAURA, CASINI, LUCA and KANHOV, ELIN, 2024. Stochastic Pirate Radio (KSPR): Generative AI applied to simulate commercial radio In: AI Music Creativity, AIMC 2024, 9-11 September.