Francesco Ponzio

Francesco Ponzio is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he contributes to teaching and research in information processing systems. He is actively involved in multiple engineering programs, including Computer, Aerospace, and Management Engineering.

• University: Politecnico di Torino
• Department: Department of Control and Computer Engineering (DAUIN)
• Role: Fixed-term Assistant Professor
• Scientific Sector: IINF-05/A - Information Processing Systems

Francesco Ponzio's research spans artificial intelligence and machine learning with applications in medical imaging, industrial automation, and smart manufacturing. His work integrates advanced computational models into real-world systems, particularly in healthcare and advanced manufacturing.

His recent publications reveal a strong trend toward interdisciplinary research, combining deep learning, radiomics, and physics-informed neural networks to address challenges in biomedical diagnostics and industrial process optimization. Notably, his work in histopathological image analysis, tumor classification, and real-time anomaly detection highlights his expertise in both algorithmic development and practical deployment.

Francesco Ponzio has contributed to high-impact journals and top-tier conferences such as IEEE ETFA, DAC, DATE, and Frontiers in Oncology. His recent work includes journal articles in Journal of Intelligent Manufacturing and Scientific Reports, as well as conference papers in ACM/IEEE Design Automation Conference and IEEE ICIT.

He has served as a course collaborator for Machine Learning in Applications and as a lecturer and collaborator in foundational computer science courses across various engineering disciplines. He is also an invited member of two degree program councils, reflecting his institutional engagement.

• francesco.ponzio@polito.it