Nicolas Farrugia’s website

I am assistant professor at IMT Atlantique, an elite technical university in France. I am co-leading the BRAIn project (Better Representations for Artificial Intelligence) together with Vincent Gripon, Mathieu Leonardon and Claude Berrou.

My research interests include developing innovative methods to better understand Sounds and the Brain using modern machine learning and deep learning. On the methods side, BRAIN develops methods based on Graphs, such as Graph Signal Processing and Graph neural networks. Regarding applications in Neuroscience, I am particularly interested in auditory / music perception, time perception and sensorimotor timing (see here) and the effect of music on the brain in healthy subjects and patients (see here), as well as involuntary musical imagery (a.k.a. earworms, see here and here). More recently, BRAIN has started to investigate the estimation of encoding models of brain activity using deep transfer learning, as well as investigating efficient deep learning architectures for audio applications.

I am also a musician (I play jazz vibraphone and electronic instruments), and engage into transdisciplinary efforts in Art and Science projects.