Francesco Angione

Francesco Angione is a Research Fellow at the Department of Automatic Control and Computer Science (DAUIN) of Politecnico di Torino. He serves as an external teacher and collaborator for courses such as 'Computer architectures' and 'Architectures of processing systems' within the Computer Engineering program. His research focuses on system-level testing, automotive SoCs, FPGA-based testing solutions, and hardware-AI integration. He is affiliated with the CAD - Electronic CAD & Reliability Group at DAUIN.

His work emphasizes optimizing test methodologies for automotive systems, leveraging advanced testing equipment (ATE), and developing efficient algorithms for burn-in stress and functional safety. Recent contributions include trustworthiness in hardware-AI integration, burn-in stress quantification, and FPGA-based accelerators for machine learning.

Angione's publications span conferences like IEEE VLSI Test Symposium and International Symposium on Defect and Fault Tolerance, with a focus on VLSI, embedded systems, and reliability engineering. His doctoral thesis (2025) explores system-level test techniques for automotive SoCs under Professors Bernardi and Cantoro. He collaborates extensively with industry partners to bridge academic research with practical applications in automotive electronics and semiconductor testing.

Key research themes include functional safety compliance, test cost reduction via novel algorithms, and integrating fault injection methods into real-time operating systems. His lab work involves designing flexible FPGA-based test equipment to address manufacturing challenges in digital systems.