Update: while this particular grant has expired, there are some other opportunities available in my lab.

I am looking for a strong PhD candidate in music and machine learning at Singapore University of Technology and Design (SUTD). SUTD is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. The available PhD position is at the department of Information Systems Technology and Design (ISTD).

I am pleased to announce that I have been elevated to the rank of Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Only 8 percent of IEEE members have attained the level of senior member. Senior Membership is an honor bestowed only to those who have made significant contributions to the profession. They are recognised for their technical and professional excellence, achievements, publications and course development or technical direction in IEEE-designated fields. I am particularly active in the IEEE Computational Intelligence Society.

Today I gave a Lunch & Learn Seminar at Jukedeck in London. Jukedeck is a London-based tech startup that is using artificial intelligence to revolutionise the way people and companies make and consume music. In my talk I talked about the MorpheuS system and some deep learning models for modeling music that I have recently developed in collaboration with Prof. C.H Chuan.

This week I am giving a seminar at Singapore University of Technology and Design about some of my latest research, entitled: 'Machine Learning and Optimization for Cutting Edge Applications in Digital Music'.
Date:
27 April 2017 @ 10:30 am - 11:30 am
Venue:
SUTD Think Tank 20 (Building 2, Level 3)
8 Somapah Road, Singapore 487372
Category: Seminar Series ISTD

International Workshop on Deep Learning for Music
In conjunction with the 2017 International Joint Conference on Neural Networks
(IJCNN 2017))

14-19 May (1 day), Anchorage
Read more

There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google's Brain Team's music generation project), Jukedeck and others testify to their potential.

In 2014 I defended my PhD thesis, Compose=Compute - Computer Generation And Classification Of Music Through Operations Research Methods, at the Unviversity of Antwerp under the supervision of Prof. dr. Kenneth Sörensen. In the research, I have developed automatic music generation systems using metaheuristic optimization techniques, combined with rules and machine learning. Other topics included composer classification, and Android app that generates music in the style of a chosen (or mixed) composer's style, and an app that does dance hit prediction based on an audio file.

This week, I'm in San Francisco for the ICMPC conference. There are many interesting topics addressed in this bi-annual conference on music perception and cognition, including cognitive models of music and Music & health. My talk presented the model for tonal tension and the resulting music generation system MorpheuS that I have developed together with Elaine Chew at the Centre for Digital Music in London.

Today I gave a talk at TENOR, The Second International Conference on Technologies for Music Notation and Representation in Cambridge (UK). There were many interesting session on the latest music represenatation technologies. My presentation focused on the tonal tension model, which I have developed together with Elaine Chew, and how this is implemented in the polyphonic music generation algorithm called MorpheuS.

I will be in Paris next week to give an invited seminar on the MorpheuS music generation project at l'institut de recherche et coordination accoustique/musique (IRCAM) in Paris. Read the full announcement on Ircam's website

Title: Morphing Music According to a Long-term Tension Profile and Detected Patterns

When: Wednesday 20th April, 2016 at 12h
Where: Ircam, salle Stravinsky