Generate a tailored SOP for Dr. Daniel Overholt. Improve your application with a focused, well-structured draft.
Daniel Overholt is an academic affiliated with Aalborg University, specializing in the fields of deep learning and human-machine interaction. His work involves the application of machine learning techniques to enhance real-time motion recognition and affective experiences. Overholt has participated in various collaborative projects, including NEMID, a global network focused on the design of new electronic musical instruments, and AAAI, which focuses on acoustically active augmented instruments. His extensive publication record includes numerous articles from 2003 to 2025. He is also a contributor to datasets in the NIME community, reflecting his engagement with integrating research and practical applications in music technology.
Aalborg University • København, Denmark
Teaching and conducting research in the field of music technology, with an emphasis on deep learning and interaction paradigms.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.