Luca Urbinati

Tutors

• Mario Roberto Casu
• Luciano Lavagno

• 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)

Master of Science

• Microelettronica digitale. A.A. 2023/24, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Microelettronica digitale. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Microelettronica digitale. A.A. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso

• 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. (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)
• 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. (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)