[ Summary | Research Interests | Work experience | Education | Theses | Projects | Talks and awards | Teaching | PhD courses | Contact ]

Summary

Nikolas Borrel-Jensen, Master in Computer Science, University of Copenhagen (2012)

PhD student at Acoustic Technology, Department of Electrical Engineering, Technical University of Denmark (2019-2022).
Supervisors: Jeong, Cheol-Ho (DTU); Engsig-Karup, Allan Peter (DTU); Hornikx, Maarten (TU Eindhoven)


Research interests

PhD research topic: Virtual acoustics

I am concerned with developing accurate and efficient methods for simulating room acoustics in dynamic scenes with moving sources/receivers and flexible geometries. Applications are in computer games, mixed reality, and building design. The focus is on traditional numerical methods and machine learning methods for solving the underlying physics, implicitly taking wave phenomena into account.

Currently, I am researching topics within the following areas

Other interests: Algorithmic composition

I have a profound interest in algorithmic composition, such as data-driven music creation and harmonization. Previously, I developed a method for harmonizing rhythmic music, and it uses a hidden Markov model to learn harmonizations of different artists in different genres and allows new chord sequences to be generated for a given melody. Audio examples

Work experience

Education

Theses

Projects

Talks and awards

Courses taken as part of my PhD study

Contact

Nikolas Borrel-Jensen
Department of Electrical Engineering, Technical University of Denmark
Oersteds Plads, Building 352, room 004, 2800 Kgs. Lyngby

E-mail: nibor@elektro.dtu.dk
Phone: (+45) 60 95 85 24