Dario Padovano received an Ms.C. in Data Science and Engineering at Politecnico di Torino, Italy. His Ms.C. thesis project focused on the optimization of Spiking Neural Networks. In particular, he created a full framework to perform Automatica Design Space Exploration for FPGA-based SNN accelerators.

Alessio Carpegna received an M.Sc. degree in Electronic Engineering from the Politecnico di Torino, Italy, in 2021, specializing in digital systems design. The same year, he entered the Italian National Ph.D. program in Artificial Intelligence. His current research interests include neuromorphic systems and, in particular, the design of neuromorphic hardware accelerators.

Alessandro Savino is an Associate Professor in the Department of Control and Computer Engineering at Politecnico di Torino, Italy. He holds a Ph.D. (2009) and an M.Sc. (2005) in Computer Engineering and Information Technology from the Politecnico di Torino in Italy. Prof. Savino's research contributions include Approximate Computing, Reliability Analysis, Safety-Critical Systems, Software-Based Self-Test, and Image Analysis. He has been part of the program and organizing committee of several IEEE and INSTICC conferences and has served as a reviewer of IEEE conferences and journals.

Stefano Di Carlo received an M.Sc. degree in Computer Engineering and a Ph.D. in Information Technologies from Politecnico di Torino, Italy, where he is a Full Professor. His research interests include computer architectures for fault resiliency, neuromorphic computing, artificial intelligence, and security. He has coordinated several national and European research projects. Di Carlo has published over 250 papers in peer-reviewed IEEE and ACM journals and conferences. He regularly serves on the Organizing and Program Committees of major IEEE and ACM conferences. He is a Golden Core member of the IEEE Computer Society and a senior member of the IEEE.