Maurizio Martina

Full Professor
Department of Electronics and Telecommunications (DET)

  • Academic Advisor Laurea (1st degree and Bachelor-level) in ELECTRONIC ENGINEERING
  • Academic Advisor Laurea Magistrale (Master of science-level) in ELECTRONIC ENGINEERING
  • Member of of the Information Technology Strategies Commission

Profile

Research interests

Digital circuits
Digital signal processing
Machine learning
Risc-v
Vlsi

Scientific branch

ING-INF/01 - ELECTRONIC ENGINEERING
(Area 0009 - Industrial and information engineering)

Teaching

Collegi of the PhD programmes

  • MICRO- AND NANO-ELECTRONICS, 2022/2023 (39. ciclo)
    Università degli Studi di PAVIA
  • MICRO- AND NANO-ELECTRONICS, 2021/2022 (38. ciclo)
    Università degli Studi di PAVIA

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research groups

Supervised PhD students

  • Flavia Guella. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Efficient implementation of deep neural networks on power-constrained devices.
    VLSI theory, design and applications
    VLSI theory, design and applications
  • Vincenzo Petrolo. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Innovative LDPC real-time decoder architectures for critical applications.
    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
  • Alessandra Dolmeta. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: A Post-Quantum Secure RISC-V application core for IoT
    VLSI theory, design and applications
    VLSI theory, design and applications
  • Luigi Giuffrida. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: Hardware architectures for complex computation
    VLSI theory, design and applications
    VLSI theory, design and applications
  • Federica Savi. Programme in Bioingegneria E Scienze Medico-chirurgiche (38th cycle, 2023-in progress)
  • Michele Caon. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-in progress)
    Research subject: Design of a modular execution pipeline for LEN5, an out-of-order RISC-V processor
    VLSI theory, design and applications
    VLSI theory, design and applications
  • Andrea Mongardi. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-in progress)
    Research subject: Bio-Inspired Smart Systems for IoT Applications
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
  • Farzad Nikfam. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-in progress)
    Research subject: Fast Adversarial Training and Privacy Preserving
    Big Data, Machine Learning, Neural Networks and Data Science
  • Emanuele Valpreda. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-in progress)
    Research subject: Optimized acceleration of deep neural networks on edge 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
  • Beatrice Bussolino Pangerz. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: Techniques and Optimization Strategies for Efficient Hardware Acceleration of Neural Networks: Tap-Wisely-Quantized Winograd Algorithm and Capsule Networks
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
  • Kristjane Koleci. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: Architectures for Code-based Post-Quantum Cryptography
    VLSI theory, design and applications
    VLSI theory, design and applications
  • Walid Walid. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: VLSI ARCHITECTURES FOR VIDEO PROCESSING AND RISC-V
    VLSI theory, design and applications
    VLSI theory, design and applications
  • Maurizio Capra. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (34th cycle, 2018-2022)
    Thesis: Application Specific Domain Co-design Hardware Accelerator IP for Deep Learning Enabled Internet-of-Things
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
More PhD studentsLess PhD students

Publications

Last years publications

Latest publications View all publications in Porto@Iris