I am a PhD student working between IRIT (Toulouse, France), CNRS, and IPAL & A*STAR (Singapore), my research focuses on improving the energy efficiency of artificial intelligence systems. Specifically, I study event-based data processing using Spiking Neural Networks, aiming to design efficient and biologically inspired models for vision tasks. My work also explores self-supervised learning approaches to improve data efficiency particularly in label-scarce environments. I aim to contribute to the development of more energy-efficient AI.