معرفی
Dr Daniel Bisig is a Research Fellow at the Research Centre for Dance Research, specializing in interdisciplinary work at the intersection of dance, artificial intelligence, and digital technologies. His research explores motion capture, ethical AI applications in dance, and computational aesthetics.
- Key Collaborations: Involved in international projects like WhoLoDance and CREATE
- Research Pillars: Focuses on granular dance synthesis, generative choreography, and string-based digital instrument design
Recent publications span machine learning algorithms for dance generation, ethical frameworks for AI in performance, and technical innovations in motion capture integration. His work has received two significant research fellowships and contributes to open-access datasets in dance technology.
- Scientific Awards:
- CREATE Fellowship (2019)
- E2-CREATE Fellowship (2019)
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