Nicolo' Bellarmino

Nicolo' Bellarmino is a Research Fellow and Research Assistant at the Department of Automatic Control and Computer Science (DAUIN) of Politecnico di Torino. His roles include teaching and collaborating in courses such as System Programming, Computer Science, and Future of Work across Computer Engineering and Aerospace Engineering programs. He is affiliated with the CAD - Electronic CAD & Reliability Group (DAUIN), focusing on research in machine learning, embedded systems, and hardware testing.

His research interests center on computational intelligence applied to computer-aided design, particularly in machine learning techniques for microcontroller performance screening. He has also explored neural network resiliency, fault detection in CNNs, and device-aware testing methodologies. Recent work emphasizes compressed sensing, feature selection, and transfer learning in resource-constrained systems.

Bellarmino's publications span conference proceedings and journals, addressing challenges in embedded systems testing, neural network optimization, and biomedical applications like COVID-19 detection via exhaled breath analysis. His contributions bridge theoretical machine learning advancements with practical hardware validation and optimization.

He actively contributes to academic teaching, maintaining an email contact at nicolo.bellarmino@polito.it for professional inquiries.