Background and experience
Ruzbeh is a Doctoral Research Fellow (2024) in Music Performance specialising with AI in music production and audio engineering. He holds a Master's Degree in Music Business and Management from the University of Agder, and a Degree in Music Production and Sound Recording from the University of Stavanger. With a foundational background in computer science and a Master's Degree in Artificial Intelligence, Ruzbeh has pursued a multifaceted academic and professional journey. His extensive musical portfolio encompasses contributions to numerous studio and live albums as a drummer and producer, as well as substantial involvement in the production of commercial albums and singles as a recording engineer.
Areas of responsibility
Ruzbeh is a Doctoral Research Fellow in Music Performance, he is a progressive rock drummer, producer, and audio engineer, He holds a Master's Degree in Music Business and Management from the University of Agder, and Music Production and Sound Recording from the University of Stavanger. He also gained a bachelor's in computer science and a Master's Degree in Artificial Intelligence. Ruzbeh's Musical Career includes several studio and live albums as a drummer and producer, and many other commercial albums and singles as a recording engineer.
As a PhD candidate, his research focuses on the intersection of artificial intelligence and music production. Specifically, examining the evolving relationship between music producers and AI-assisted tools. His aims to explore the ways AI-driven tools, such as plugins and VSTs, amplify or challenge the creativity, innovation, and understanding, of emerging music producers in comparison to traditional analog methods.
Research
- Artificial Intelligence in Emerging Music Production
- Music Technology
- Music Production
This research investigates the impact of AI-driven tools, such as plugins and virtual instruments, on music production practices. It focuses on the intersection between creativity, innovation, and technology, exploring how these emerging tools influence the cognitive processes of producers compared to traditional analog methods. Through a combination of creative practice, autoethnography, and qualitative methods, he examines how AI can both amplify and challenge the human touch and authenticity in music-making.
This research delves into the evolving relationship between producers and AI-assisted tools, questioning how AI might affect the 'soul' or warmth of music production. I also explore the possibilities these technologies offer in terms of encouraging new and inventive creative attitudes among emerging producers. his work aligns with systematic investigations of contemporary recording studio environments, and he makes use of the cutting-edge research infrastructure available at the university, including state-of-the-art studios and production technologies. Ultimately, his goal is to contribute to a deeper understanding of how AI can reshape the future of music production while preserving its artistic integrity.