Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36o ciclo (2020-2023)
Dottorato concluso nel 2024
Tesi:
Accelerating Quantized DNNs with Dedicated Hardware Accelerators and RISC-V Processors Using Precision-Scalable Multipliers (Abstract)
Tutori:
Mario Roberto Casu Luciano LavagnoProfilo
Argomento di ricerca
Embedded Machine Learning
Interessi di ricerca
Biografia
E' uno studente al primo anno di Dottorato nel Dipartimento di Elettronica e Telecomunicazioni (DET) nella stessa università, sotto la supervisione del Prof. M. R. CASU.
La sua attività di ricerca è focalizzata a implementare algoritmi di Intelligenza Artificiale (IA) in dispositivi edge attraverso un approccio di co-design HW-SW.
Pubblicazioni:
1) L. Urbinati, M. Ricci, G. Turvani, J. A. T. Vasquez, F. Vipiana and M. R. Casu, "A Machine-Learning Based Microwave Sensing Approach to Food Contaminant Detection," 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, 2020, pp. 1-5, doi: 10.1109/ISCAS45731.2020.9181293
2) L. Gnoli et al., "Fault Tolerant Photovoltaic Array: A Repair Circuit Based on Memristor Sensing," 2019 IEEE International Symposium on DFT, Noordwijk, Netherlands, 2019, pp. 1-4, doi: 10.1109/DFT.2019.8875467
Premi e riconoscimenti
- Best Student Paper Award at 2023 Conference on AgriFood Electronics (CAFE) for the paper entitled "Enhanced Machine-Learning Flow for Microwave-Sensing Systems to Detect Contaminants in Food" for which I was a co-author. (2023)
- Young Fellows Poster Presentation Award at 2020 Design automation conference (DAC) for one of the best students’ poster presentations as a 2-minutes elevator pitch. I was presenting my Master's Thesis work entitled: “Detection of food contaminants with Microwave Sensing and Machine Learning”. (2023)
- GOLD LEAF award at 2023 International Conference on PhD Research in Microelectronics and Electronics (PRIME) for ranking among the top 10% of the best papers with my work entitled “Design-Space Exploration of Mixed-precision DNN Accelerators based on Sum-Together Multipliers”. (2023)
Didattica
Insegnamenti
Corso di laurea magistrale
- Microelettronica digitale. A.A. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Microelettronica digitale. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Manca, Edward; Urbinati, Luca; Casu, Mario R. (2024)
STAR: Sum-Together/Apart Reconfigurable Multipliers for Precision-Scalable ML Workloads. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), Valencia (Spain), 25-27 March 2024, pp. 1-6. ISBN: 978-3-9819263-8-5
Contributo in Atti di Convegno (Proceeding) - Urbinati, Luca (2024)
Accelerating Quantized DNNs with Dedicated Hardware Accelerators and RISC-V Processors Using Precision-Scalable Multipliers. relatore: CASU, MARIO ROBERTO; LAVAGNO, Luciano; , 36. XXXVI Ciclo, P.: 146
Doctoral Thesis - Štitic, Bernardita; Urbinati, Luca; Guglielmo, Giuseppe Di; Carloni, Luca P.; Casu, ... (2024)
Enhanced Machine-Learning Flow for Microwave-Sensing Systems for Contaminant Detection in Food. In: IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS., vol. 2, pp. 181-189. ISSN 2771-9529
Contributo su Rivista - Manca, Edward; Urbinati, Luca; Casu, Mario R. (2024)
Accelerating Quantized DNN Layers on RISC-V with a STAR MAC Unit. In: 54th Annual Meeting of the Italian Electronics Society, Noto (SR), Italia, September 6-8, 2023, pp. 43-53. ISSN 1876-1100. ISBN: 978-3-031-48710-1
Contributo in Atti di Convegno (Proceeding) - Urbinati, Luca; Casu, Mario R. (2024)
High-Level Design of Precision-Scalable DNN Accelerators Based on Sum-Together Multipliers. In: IEEE ACCESS, vol. 12, pp. 44163-44189. ISSN 2169-3536
Contributo su Rivista - Štitic, Bernardita; Urbinati, Luca; Di Guglielmo, Giuseppe; Carloni, Luca; Casu, Mario R. (2023)
Enhanced Machine-Learning Flow for Microwave-Sensing Systems to Detect Contaminants in Food. In: 2023 IEEE Conference on AgriFood Electronics (CAFE), Torino, Italy, 25-27 September 2023, pp. 40-44. ISBN: 979-8-3503-2711-3
Contributo in Atti di Convegno (Proceeding) - Urbinati, Luca; Casu, Mario R. (2023)
Design-Space Exploration of Mixed-precision DNN Accelerators based on Sum-Together Multipliers. In: 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 18-21 June 2023, pp. 377-380. ISBN: 979-8-3503-0320-9
Contributo in Atti di Convegno (Proceeding) - Casu, Mario Roberto; Urbinati, Luca (2023)
A Reconfigurable 2D-Convolution Accelerator for DNNs Quantized with Mixed-Precision. In: Applepies 2022, Genova, September 26–27, 2022, pp. 210-215. ISBN: 978-3-031-30333-3
Contributo in Atti di Convegno (Proceeding) - Urbinati, Luca; Casu, Mario R. (2023)
A Reconfigurable Multiplier/Dot-Product Unit for Precision-Scalable Deep Learning Applications. In: 53rd Annual Meeting of the Italian Electronics Society, Pizzo (VV), Italia, September 7-9, 2022, pp. 9-14. ISBN: 978-3-031-26065-0
Contributo in Atti di Convegno (Proceeding) - Urbinati, Luca; Casu, Mario R. (2022)
A Reconfigurable Depth-Wise Convolution Module for Heterogeneously Quantized DNNs. In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, Texas, USA, 27 May 2022 - 01 June 2022, pp. 128-132. ISBN: 978-1-6654-8485-5
Contributo in Atti di Convegno (Proceeding) - Ricci, M.; Stitic, B.; Urbinati, L.; Di Guglielmo, G.; Tobon Vasquez, J. A.; Carloni, L. ... (2021)
Machine-Learning Based Microwave Sensing: A Case Study for the Food Industry. In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, vol. 11, pp. 503-514. ISSN 2156-3357
Contributo su Rivista - Urbinati, Luca; Ricci, Marco; Turvani, Giovanna; Vasquez, Jorge A. Tobon; Vipiana, ... (2020)
A Machine-Learning Based Microwave Sensing Approach to Food Contaminant Detection. In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, 10-21 Oct. 2020, pp. 1-5. ISBN: 978-1-7281-3320-1
Contributo in Atti di Convegno (Proceeding)