
Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Accelerating Quantized DNNs with Dedicated Hardware Accelerators and RISC-V Processors Using Precision-Scalable Multipliers (Abstract)
Tutors:
Mario Roberto Casu Luciano LavagnoProfile
Research topic
Embedded Machine Learning
Research interests
Biography
He is a first year Ph.D. student in the Department of Electronics and Telecommunications (DET) at the same university, under the supervision of Prof. M. R. CASU.
His research activity is focused on implementing Artificial Intelligence (AI) algorithms in edge devices through an HW-SW co-design approach.
Publications:
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
Awards and Honors
- 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)
Teaching
Teachings
Master of Science
- 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
Publications
Works published during the Ph.D. View all publications in 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) - 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 - 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 - 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) - 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)
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) - 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)