Luciano Lavagno

Full Professor
Department of Electronics and Telecommunications (DET)

Profile

Research interests

Field programmable gate arrays (fpga)
High-level synthesis
Indoor positioning
Logic synthesis
System-on-chip

Scientific branch

IINF-01/A - Electronics
(Area 0009 - Industrial and information engineering)

Research topics

  • Capacitive and thermal sensing techniques to locate and track people indoors
  • High-level synthesis of digital circuits from C++/OpenCL/SystemC
  • Low-power and low-energy electronic circuit design
  • Recording, retrieval and listening of oral stories

Skills

ERC sectors

PE7_4 - (Micro and nano) systems engineering
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
PE6_1 - Computer architecture, pervasive computing, ubiquitous computing
PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems
PE7_8 - Networks (communication networks, sensor networks, networks of robots, etc.)
PE6_10 - Web and information systems, database systems, information retrieval and digital libraries, data fusion

SDG

Goal 3: Good health and well-being
Goal 4: Quality education
Goal 5: Gender equality
Goal 7: Affordable and clean energy
Goal 8: Decent work and economic growth
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities
Goal 13: Climate action
Goal 16: Peace, justice and strong institutions

Teaching

Collegi of the PhD programmes

  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2022/2023 (39. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2021/2022 (38. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2020/2021 (37. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2019/2020 (36. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2018/2019 (35. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2017/2018 (34. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2016/2017 (33. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2015/2016 (32. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2014/2015 (31. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2013/2014 (30. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRONICA, 2012/2013 (29. ciclo)
    Politecnico di TORINO
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2010/2011 (27. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2009/2010 (26. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2008/2009 (25. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2007/2008 (24. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2006/2007 (23. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2005/2006 (22. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2004/2005 (21. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2003/2004 (20. ciclo)
    Università degli Studi di UDINE
  • INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE, 2002/2003 (19. ciclo)
    Università degli Studi di UDINE
MostraNascondi collegi passati

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Teaching and training projects

Projects funded by commercial contracts

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

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Projects funded by commercial contracts

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Supervised PhD students

  • Roberto Bosio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Acceleration of data center and embedded applications using FPGAs
    Big Data, Machine Learning, Neural Networks and Data Science
    Big Data, Machine Learning, Neural Networks and Data Science
  • Emanuel Cascione. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
  • Lorenzo Lagostina. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: EDA, Embedded Machine Learning
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
  • Edward Manca. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Neural networks HW/SW acceleration targeting CPU, ASIC and FPGA devices
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
  • Teodoro Urso. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
  • Giovanni Brignone. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (37th cycle, 2021-in progress)
    Research subject: Improving Quality of Results for HLS designs
    Modeling, simulation and CAD
  • Filippo Minnella. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Mix & Latch: High-Performance Designs with Single-Clock Mixed-Polarity Latches and Flip-Flops
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
  • Fabrizio Ottati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Efficient Deep Learning Inference: A Digital Hardware Perspective - Evaluating and improving performance and efficiency of artificial and spiking neural networks hardware accelerators
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    VLSI theory, design and applications
  • Giorgia Subbicini. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Efficient Indoor Human Sensing and Continuous Tracking
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
  • Luca Urbinati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Accelerating Quantized DNNs with Dedicated Hardware Accelerators and RISC-V Processors Using Precision-Scalable Multipliers
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
  • Muhammad Usman Jamal. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: Improving Quality of Results for High-Level Synthesis based FPGA designs
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    VLSI theory, design and applications
  • Nasir Ali Shah. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: Heterogeneous Acceleration for 5G New Radio Channel Modelling Using FPGAs and GPUs
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Electronic devices: modeling and characterization
    VLSI theory, design and applications
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Other activities and projects related to research

"Tell me your story": recording (via telegram bot), indexing (via transcription and wordcloud) and listening of oral stories told by people. https://tiraccontounastoria.org

Publications

PoliTO co-authors

Last years publications

Publications by type

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Society and Enterprise

Patents and other intellectual properties