Nicolas Farrugia

Nicolas Farrugia serves as Full Professor at IMT Atlantique, where he leads research in the BRAIn (Better Representations for Artificial Intelligence) team. After earning his electrical engineering degree and MSc in Signal and Image Processing from ENSEA in 2005, followed by a PhD from Université de Bourgogne and Orange Labs in 2008 focusing on hardware implementation of deep neural networks, he transitioned to cognitive neuroscience research. His expertise spans artificial intelligence, machine learning, and neuroscience, with particular focus on understanding sounds and brain function through modern machine learning approaches. His current work includes projects in graph signal processing for neuroimaging, deep learning for EEG and auditory brain encoding models, and bioacoustics research. As a faculty member since 2016, he teaches advanced algorithmics, graph theory, machine learning, artificial intelligence, deep learning, and digital electronics, while maintaining an active role in transdisciplinary projects combining art and science, including his work as a jazz vibraphone performer.