Lyes Khacef received the M.Sc. in Electronic Engineering and Embedded Systems from the University of Nice Sophia Antipolis (France). He pursued a PhD in brain-inspired computing where he focused on understanding and modeling the distributed and local neural mechanisms behind the self-organization capabilities of the brain, and integrating these mechanisms in real-time FPGA-based neuromorphic hardware for processing on the edge. His current interest is the design of brain-inspired neural systems that can self-organize to adapt to their environment, in the context of multimodal unsupervised learning and sensory-motor association. He developed a multi-disciplinary expertise that goes from the high level modeling of the structural and synaptic plasticity in recurrent neural networks, to the architectural design of scalable and hardware-efficient implementations.