Maurizio Martina

Full Professor
Department of Electronics and Telecommunications (DET)

  • Componente Commissione Strategie per le Tecnologie dell'Informazione
  • Member of Interdepartmental Center PEIC - Power Electronics Innovation Center
  • Referente Corsi di Studio di Laurea (1st degree and Bachelor-level) in ELECTRONIC ENGINEERING
  • Referente Corsi di Studio di Laurea Magistrale (Master of science-level) in ELECTRONIC ENGINEERING

Profile

Research interests

DIGITAL CIRCUITS
digital signal processing
machine learning
RISC-V
VLSI

Teaching

PhD Boards

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

Courses of Study Boards

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research groups

Supervised PhD students

  • Luigi Giuffrida. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 38, 2022-in progress)
    Research subject: Hardware architectures for complex computation
    VLSI theory, design and applications
  • Michele Caon. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 36, 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
  • Farzad Nikfam. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 36, 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 (cycle 36, 2020-in progress)
    Research subject: Energy efficient DNN acceleration for IoT devices
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
  • Beatrice Bussolino. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 35, 2019-in progress)
    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 (cycle 35, 2019-in progress)
    Research subject: Algorithms Architectures for Forward Error Correction
    VLSI theory, design and applications
  • Walid Walid. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 35, 2019-in progress)
    Research subject: VLSI ARCHITECTURES FOR RISC-V IMPLEMENTATION
    VLSI theory, design and applications
  • Maurizio Capra. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 34, 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
  • Riccardo Peloso. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 33, 2017-2021)
    Thesis: Signal processing techniques to improve interpolation and modulation in audio Digital to Analog Converters
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Multimedia Signal Processing
    VLSI theory, design and applications
More PhD studentsLess PhD students

Publications

Last years publications

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