Higher-Level Synthesis: experimenting with MLIR polyhedral representations for accelerator design

Serena Curzel

Assistant Professor

Serena Curzel earned her M.Sc. in Electronics Engineering (2019) and PhD cum laude in Information Technology (2023) from Politecnico di Milano. Her PhD focused on Deep Learning acceleration in collaboration with Pacific Northwest National Laboratory. She later worked as a postdoc on FPGA acceleration for Big Data and aerospace. Since August 2024, she is an Assistant Professor at DEIB, researching design automation and High-Performance Computing, and is part of the PandA group on HLS methodologies.