Roberto Bosio

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)



Research topic

Acceleration of data center and embedded applications using FPGAs


Research interests

Big Data, Machine Learning, Neural Networks and Data Science


In 2020, I earned my Bachelor's degree in Computer Science from Politecnico di Torino. Eager to deepen my understanding of technology, I pursued a Master's degree in Electronics Engineering with a specialized focus on Embedded Systems applications. My thesis focused on enhancing a subgraph isomorphism solver by adapting the algorithm to follow the dataflow paradigm, capitalizing on the unique advantages FPGAs offer compared to other architectures. My current research revolves around crafting accelerators tailored for FPGAs, using the High-Level Synthesis approach. I am actively engaged in optimizing convolutional neural networks, spanning from model quantization to execution on embedded FPGAs.