Computer architecture · Design automation · HPC

Assistant Professor at DEIB - PoliMi, working with HEAPLab and PandA. My research focuses on High-Level Synthesis, FPGA/ASIC acceleration, and design methodologies for HPC, AI, and aerospace applications.

1000+Citations
42Publications
13H-index

Research

My main interests

Design automation

High-Level Synthesis, domain-specific compilation flows, simulation, verification for hardware accelerators.

High-performance computing

FPGA and ASIC acceleration, AI accelerators, parallel computing, and system-level design methods.

Computing for aerospace

Model-based design and acceleration techniques for space-grade FPGA platforms and embedded systems.

Research Papers

Selected publications

  1. 2025

    A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms

    C. Silvano, D. Ielmini, F. Ferrandi, L. Fiorin, S. Curzel, L. Benini, et al., ACM Computing Surveys 57.11

    DOI: 10.1145/3729215, Open Access

  2. 2025

    Augmented Co-Simulation for Fast Functional and System-Level Verification of HLS Accelerators

    M. Fiorito, S. Curzel, and F. Ferrandi, 2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)

    DOI: 10.1109/ICCAD66269.2025.11240905

  3. 2024

    SPARTA: High-Level Synthesis of Parallel Multi-Threaded Accelerators

    G. Gozzi, M. Fiorito, S. Curzel, C. Barone, V. G. Castellana, M. Minutoli et al., ACM TRETS 18.1

    DOI: 10.1145/3677035, Open Access

  4. 2023

    Exploration of Synthesis Methods from Simulink Models to FPGA for Aerospace Applications

    S. Curzel, M. Fiorito, P. L. Cueva, T. Jorge, T. Tsiodras, and F. Ferrandi, ACM International Conference on Computing Frontiers

    DOI: 10.1145/3587135.3592766, Open Access

  5. 2022

    End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators

    S. Curzel, N. Bohm Agostini, V. G. Castellana, M. Minutoli, A. Limaye, J. Manzano, et al., IEEE Transactions on Computers 71.12

    DOI: 10.1109/TC.2022.3211430, Open Access

  6. 2022

    Bridging Python to Silicon: The SODA Toolchain.

    N. Bohm Agostini, S. Curzel, J. J. Zhang, A. Limaye, C. Tan, V. Amatya, et al., IEEE Micro 42.5 (Best Paper Award)

    DOI: 10.1109/MM.2022.3178580

Research projects

Active research projects

For students

Teaching and supervision

In 2025-2026, I am teaching Algoritmi e Architetture per il Calcolo ad Alte Prestazioni for the B.Sc. degree in Mathematical Engineering at PoliMi. All the course material is available on WeBeep.

M.Sc. students are welcome to contact me to discuss a thesis proposal if any of the topics I am working on are of interest; alternatively, check available projects here.

Contact

Get in touch

Dr. Serena Curzel
Dipartimento di Elettronica, Informazione e Bioingegneria
Politecnico di Milano