Dr. Hendrik Purwins, Associate Prof., Dipl.-Math.
In the music hall of the Ali Qapu Palace.
Before joining the
Audio Analysis Lab and the Sound and Music Computing group at AAU in Copenhagen in August 2013, I have been researcher at Neurotechnology Group and the Machine Learning Group at Technische Universität Berlin where I worked on the discovery of neural correlates of music and 3D vision. Before I had been lecturer at the Music Technology Group at the
Universitat Pompeu Fabra in Barcelona. I have also been head of research and development at PMC Technologies.
I have been visiting researcher at Perception and Sound Design Team, IRCAM, CCRMA, Stanford, Auditory Lab, McGill, and visiting professor at UPF.
I have obtained my PhD "Profiles of Pitch Classes" at the Neural Information Processing Group at Technische Universität Berlin, receiving a scholarship from the Studienstiftung des deutschen Volkes
(by then only awarded to the 0.5 % best students in Germany). Before that I
studied mathematics at Universität Bonn and
Universität Münster, completing a
diploma in pure mathematics (all grades 'A').
Starting with playing the violin at age of 7, I have played several
string quartet and orchestra concerts during my mandatory military
service with the professional German head quarters chamber orchestra.
I have (co-)authored 80+ scientific papers. I am first author of three articles with a JCR impact factor of 14. I am responsible for
the admission of research grants worth more than 800 000 Euros ( full CV).
In general, my research hypothesis can be stated as: Music perception and cognition can be modelled as a statistical procedure. In particular I am working on:
Artificial Intelligence Programming
Sound and Music Signal Analysis ( SMC MS, promotion video )
Design and Analysis of Experiment ( Example Video , Media Tecchnology BS)
Machine Learning for Media Technology (Media Technology and SMC MS)
Media Psychology and Sociology (Media Technology BS)
Project supervision (looking for students: Project/thesis proposal catalogue )
Previously taught far more than 1000 h on applied machine
learning, artificial intelligence, statistics, signal processing, speech processing, machine
listening, programming, music cognition, operating systems.
Experience with various concepts (flipped classroom: Example Video
, peer assessment, problem-based learning)
Complete List (pdf)
Audio Analysis Lab / Sound and Music Computing Group
Department of Architecture, Design & Media Technology
Faculty of IT and Design
Aalborg University Copenhagen
A.C. Meyers Vaenge 15, DK-2450 Copenhagen SV, Denmark
Email: hpuATcreateDOTaauDOTdk (replace 'DOT' by '.' and 'AT' by '@') Former Masters Students
(at NI, TUB): Immanuel
(at MTG, UPF):
Srikanth Cherla (
Jukedeck), Katerina Kosta ( Jukedeck), Marco Marchini ( Spotify), Ahmed Nagi, Maria Panteli ( Spotify), Panos Papiotis ( MTG, UPF), Pratyush ( Radial Inc.), Ines Salselas, Simon
Scholler ( Newsenselab GmbH), Felix Tutzer ( Nous Wissensmanagement Gmbh)
(at SMC, AAU):
Jose-Luis Diez Antich ( Moodagent), Andrea Corcuera Marruffo ( Oticon), Jorge Madrid Portillo, Mattia Paterna ( Canecto), Nicolai Gahede ( Danske Bank), Iakovos Vogiatzoglou ( runtales)
(at Medialogy, AAU):
Ernest Bofill Ylla (
Former Ph.D. Student
(at MTG, UPF, co-supervisor: Xavier Serra):
Stefan Kersten ( Locosonic)