20 April 2018

• Giulia Altamura. Development of hardware accelerators on FPGA for convolutional neural networks. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2018
  

  

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• Alessandro Giordano. Imaging a microonde per il monitoraggio di contaminazioni in generi alimentari = Microwave Imaging Technology for Food Contamination Monitoring. Rel. Francesca Vipiana, Mario Roberto Casu, Francesco Savorani. Politecnico di Torino, Master of science program in Electronic Engineering, 2018
  

  

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26 July 2018

• Davide Bisio. Studio, modellizzazione real-time e implementazione di un testbench, per la catena di elaborazione digitale dei segnali, per un sensore MEMS = Study, real-time modeling and testbench implementation of digitial signal processing for MEMS sensors. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2018

16 April 2019

• Federico Parodi. Analysis and Design of an FIR Filter Obtained with High Level Synthesis. Rel. Mario Roberto Casu, Luciano Lavagno. Politecnico di Torino, Master of science program in Electronic Engineering, 2019
  

  

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• Simone Impagnatiello. CIC filter design with HLS. Rel. Mario Roberto Casu, Luciano Lavagno. Politecnico di Torino, Master of science program in Electronic Engineering, 2019
  

  

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25 October 2019

• Riccardo Vitetta. Implementazione di un Master I3C su FPGA per test di piattaforme di sensori MEMS = Implementation of an I3C Master on FPGA for MEMS sensor platforms testing. Rel. Mario Roberto Casu, Davide Magnoni. Politecnico di Torino, Master of science program in Electronic Engineering, 2019
• Valerio De Felice. Signal Processing Industriale con Metodi Non Convenzionali e Sistemi Embedded a Basso Costo = Industrial Signal Processing with Unconventional Methods and Low-Cost Embedded Systems. Rel. Mario Roberto Casu, Fabrizio Riente. Politecnico di Torino, Master of science program in Electronic Engineering, 2019
  

  

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18 December 2019

• Luca Urbinati. Detection of food contaminants with Microwave Sensing and Machine Learning. Rel. Mario Roberto Casu, Francesca Vipiana. Politecnico di Torino, Master of science program in Electronic Engineering, 2019
  

  

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1 April 2020

• Leandro Malara. Analysis and Modeling of an Energy Management System in Automotive Environment. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
  

  

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• Matteo Baldina. Soluzione integrata intelligente per la gestione di un motore DC = Smart integrated solution for DC motor management. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
  

  

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• Bernardita Alejandra Stitic Leiva. A multiclass neural network model for contaminant detection in hazelnut-cocoa spread jars. Rel. Mario Roberto Casu, Luca Carloni, Christian Pilato. Politecnico di Torino, Master of science program in Electronic Engineering, 2020
  

  

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16 December 2020

• Riccardo Sansiveri. Machine Learning e Microwave Imaging per l'ictus cerebrale: un caso di studio = Machine Learning and Microwave Imaging for Brain Stroke: A Case Study. Rel. Francesca Vipiana, Mario Roberto Casu, Jorge Alberto Tobon Vasquez. Politecnico di Torino, Master of science program in Biomedical Engineering, 2020
  

  

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27 July 2021

• Nicola Sirigu. Stima del consumo di potenza durante le fasi iniziali di progetto dei circuiti digitali di un sensore MEMS: un approccio strutturato = Power consumption estimation during early design stages of digital circuits of a MEMS sensor: a structured approach. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2021

17 December 2021

• Lorenzo Mangani. Analisi di segnali a microonde: tecniche di Machine Learning per la rilevazione dei contaminanti alimentari = Microwave signals analysis: Machine Learning techniques for the detection of food contaminants. Rel. Mario Roberto Casu, Luca Urbinati. Politecnico di Torino, Master of science program in Electronic Engineering, 2021
  

  

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• Giacomo Marchioni. Machine learning techniques for microwave food contamination detection. Rel. Mario Roberto Casu, Francesca Vipiana. Politecnico di Torino, Master of science program in Electronic Engineering, 2021
  

  

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24 March 2022

• Giulia Follari. Machine learning techniques for microwave brain stroke detection and classification. Rel. Francesca Vipiana, Mario Roberto Casu, Jorge Alberto Tobon Vasquez, Valeria Mariano. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022
  

  

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13 April 2022

• Antonino Magaddino. Analisi di strumenti Open-source per la progettazione di circuiti integrati = Analysis of Open-source tools for integrated circuit design. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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• Giovanni Canella. Life cycle for the development of an automotive electronic embedded system. Rel. Mario Roberto Casu, Andrea Ricca. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
• Vincenzo Giannone. Open source Hardware Design: A Register File Case Study. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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• Francesco Falconieri. Open-Source Design of a Bitline-Computing-SRAM for Neural Networks Acceleration at the Edge. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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29 July 2022

• Vito D'Avino. Analisi di codici open-source per la sintesi di alberi di distribuzione del clock = Open-source code analysis for the synthesis of clock distribution trees. Rel. Mario Roberto Casu, Maurizio Martina, Alessandro De Laurenzis. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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19 December 2022

• Nathalia Della Giustina Ballmann. DESIGN OF THE BACK-END PROCESSING SYSTEM FOR THE ACCELERATION OF THE MICROWAVE IMAGING RECONSTRUCTION ALGORITHMS. Rel. Francesca Vipiana, Mario Roberto Casu, Jorge Alberto Tobon Vasquez. Politecnico di Torino, Master of science program in Nanotechnologies For Icts, 2022
  

  

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• Federico Perenno. High-Level Design of 2D-Convolution Accelerators for AI Leveraging Embedded Scalable Platform (ESP). Rel. Mario Roberto Casu, Luca Urbinati. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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• Riccardo Capodicasa. High-level design of a Depthwise Convolution accelerator and SoC integration using ESP. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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20 December 2022

• Juan Segundo Argayo. A Machine-Learning Approach to Enhanced Food Safety via In-Line Microwave Sensing. Rel. Francesca Vipiana, Mario Roberto Casu, Jorge Alberto Tobon Vasquez. Politecnico di Torino, Master of science program in Computer Engineering, 2022

21 April 2023

• Qibo Peng. A Hybrid Approach For Interrupts Verification. Rel. Luciano Lavagno, Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2023
• Muhammad Furqan Siddiqui. Machine learning techniques for microwave food contamination detection. Rel. Francesca Vipiana, Mario Roberto Casu, Jorge Alberto Tobon Vasquez, Marco Ricci. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  
• Marco Alessio Terlizzi. Mixed-precision Quantization and Inference of MLPerf Tiny DNNs on Precision-Scalable Hardware Accelerators. Rel. Mario Roberto Casu, Luca Urbinati. Politecnico di Torino, Master of science program in Electronic Engineering, 2023
  

  

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• Claudio Chessa. Sviluppo software per l'unità di controllo del veicolo (VCU) considerando sicurezza informatica e integrazione della sicurezza funzionale per le applicazioni dell'industria automobilistica = Software development for Vehicle Control Unit (VCU) adding cybersecurity and functional safety integration for automotive industry applications. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2023

28 July 2023

• Edward Manca. Design of a Novel Precision Scalable Multiplier to Improve Quantized Neural Network Computation on a Low-Power RISC-V Processor. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Computer Engineering, 2023
  

  

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• Alessandro Sanna. Hardware design of a BMS Gateway for High Voltage wireless battery monitoring. Rel. Mario Roberto Casu, Andrea Ricca. Politecnico di Torino, Master of science program in Electronic Engineering, 2023

27 October 2023

• Paolo Andrea Romeo. Definition and implementation of new FIR instruction integrated in RISC-V ISA for audio applications. Rel. Mario Roberto Casu, Michele Chiabrera. Politecnico di Torino, Master of science program in Electronic Engineering, 2023

15 December 2023

• Diego Ricardo Bueno Pacheco. Efficient Tiling Architecture for Scalable CNN Inference: Leveraging High-Level Design and Embedded Scalable Platform (ESP). Rel. Mario Roberto Casu, Luca Urbinati. Politecnico di Torino, Master of science program in Electronic Engineering, 2023
  

  

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11 April 2024

• Lucia Vencato. Development of System Verification Methods for Aircraft Electronic Systems. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Computer Engineering, 2024
  

  

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• Maria Pia Piri. FPGA porting and benchmark across different manufacturers. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Francesco La Carpia. Resilient Deep Neural Network for FPGA space applications. Rel. Luciano Lavagno, Mario Roberto Casu, Mihai Teodor Lazarescu, Filippo Minnella. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2024
  

  

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• Ali Moaz. Test Pattern Bring-up for First Silicon Debug of 800G Optical Modules. Rel. Mario Roberto Casu, Nicola Carta. Politecnico di Torino, Master of science program in Electronic Engineering, 2024

26 July 2024

• Shulin Deng. A Survey: Hardware Neural Architecture Search On FPGA/ASIC. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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24 October 2024

• Yuliang Chen. Efficient Mixed-Precision Quantization of Deep Neural Networks for Edge Applications. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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31 October 2024

• Riccardo Castiglia. Design of automotive Single Pair Ethernet switch with Power over Data Line. Rel. Mario Roberto Casu, Andrea Ricca. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
• Arianna Palermo. A Flexible FPGA-based Neural Processing Unit Architecture. Rel. Mario Roberto Casu, Diana Göhringer. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Angelina Marra. Hierarchical Architecture of 2D-CNN Accelerator: Leveraging High-Level Design and Embedded Scalable Platfrom (ESP). Rel. Mario Roberto Casu, Luca Urbinati. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Carlos Esteban Vergara Puccini. In-depth study of state-of-the-art Transformer implementations for FPGAs. Rel. Mario Roberto Casu, Luciano Lavagno. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• William Baisi. A Machine Learning Approach to Optimizing CNN Deployment on Tile-Based Systems-on-Chip. Rel. Mario Roberto Casu, Luca Carloni. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Salvatore Mascolo. Matrix Acceleration on Processor Using State-of-the-Art Technology Corners. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2024

13 December 2024

• Andrea Redoglia. Hardware-Software Codesign of an Accelerator for Quantized Neural Networks in a Low-Power SoC. Rel. Mario Roberto Casu, Luca Urbinati, Edward Manca. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Giacomo Gorgerino. Tiny Machine Learning: dalla valutazione delle performance di dispositivi esistenti allo sviluppo di acceleratori ad-hoc su FPGA = Tiny Machine Learning: from the performance evaluation of existing devices to the development of custom accelerators on FPGA. Rel. Mario Roberto Casu, Massimo Ruo Roch. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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11 April 2025

• Francesca Franzese. Development of demo designs for VE2302-DK based on AMD Versal Edge adaptive SoC VE2302. Rel. Mario Roberto Casu, Maurizio Cignetti. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  

  

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24 October 2025

• Francesco Ilacqua. ASIC Design-Space Exploration using High-Level Synthesis and Multi-Objective Bayesian Optimization. Rel. Mario Roberto Casu, Luca Urbinati. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  

  

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• Paolo Molino. Actuation control for Flight Control Computer application by using parallel computation via AMD Xilinx Versal AI Engine. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  

  

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• Pietro Venerito. Development of a UVM-Based Verification Framework for FPGA Digital Designs in Aerospace Applications. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  
• Giuseppe Rinaldo. Model-Based Design and FPGA Implementation of a Pulse Detection Algorithm for Optical and RF Interrogations in Avionic application. Rel. Mario Roberto Casu. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  

  

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12 December 2025

• Sergio Ivano Fierro. Design and Evaluation of Reconfigurable Systolic Arrays for Neural Networks. Rel. Mario Roberto Casu, Edward Manca. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  

  

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• Boris Assenov Alexiev. Integration of a Precision Scalable Multiplier in the AHA CGRA Framework. Rel. Mario Roberto Casu, Edward Manca. Politecnico di Torino, Master of science program in Electronic Engineering, 2025
  

  

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• Giovanni Gaddi. Post-Training Quantization of a Transformer-based Autonomous Driving Neural Network. Rel. Mario Roberto Casu, Edward Manca. Politecnico di Torino, Master of science program in Computer Engineering, 2025
  

  

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