Alessio Caviglia is a Ph.D. student in Artificial Intelligence with a background in Computer Engineering, specializing in Embedded Systems. His research focuses on neuromorphic computing and its applications in edge AI. Building on his expertise in digital design and AI/ML, Alessio is exploring how intelligent systems can be efficiently optimized for low-power, resource-constrained environments, with a particular interest in leveraging innovative computing models for embedded platforms.