Filippo Marostica is a Ph.D. Student in Artificial Intelligence at Politecnico di Torino, focusing on Artificial Resilience and Neuromorphic Computing. His research involves developing hardware accelerators for Spiking Neural Networks (SNN) on FPGA platforms, targeting applications in edge computing, IoT, and embedded systems. He is particularly interested in enhancing fault tolerance and resilience in these systems, with a special emphasis on aerospace applications, using fault injection and SNNs for error detection and mitigation.

With a background as an Electronic Engineer specializing in Embedded Systems, Filippo focuses on hardware architecture, circuit design, and software interfacing. In addition to his work on hardware accelerators, he is exploring ways to improve the safety and security of AI systems in space, particularly through RISC-V architectures. His research includes developing robust algorithms for error detection, fault tolerance, and adaptive learning, while also ensuring system security with secure communication protocols and intrusion detection. His ultimate goal is to optimize design exploration for fault tolerance and security in space missions.