Fabrizio Riente

Fabrizio Riente's picture

Fixed-term tenure-track assistant professor
Department of Electronics and Telecommunications (DET)

Profile

Research interests

Agritech
Beamforming
Bee health monitoring
Electronic design automation
Emerging technologies
Event detection
Ferromagnetism
Hybrid simulation
Magnetism
Nanocomputing
Thin films and nanotechnology
Ultra low power

Scientific branch

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

Skills

ERC sectors

PE7_5 - (Micro and nano) electronic, optoelectronic and photonic components
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
PE6_1 - Computer architecture, pervasive computing, ubiquitous computing
PE6_12 - Scientific computing, simulation and modelling tools
PE7_3 - Simulation engineering and modelling

SDG

Goal 7: Affordable and clean energy
Goal 9: Industry, Innovation, and Infrastructure
Goal 13: Climate action

Editorial boards

  • FRONTIERS IN ELECTRONICS (2022-), Associate Editor of magazine or editorial series

Conferences

  • IEEE Design Automation and Test Conference Europe (25/3/2024-27/3/2024), Program committee
  • Forum Acusticum 2023 (11/9/2023-15/9/2023), Participation to the organizing committee
  • IEEE Design Automation and Test Conference Europe (17/4/2023-19/4/2023), Program committee

Teaching

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

Research projects

Projects funded by commercial contracts

Supervised PhD students

  • Giacomo Orlandi. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
  • Alessandro Varaldi. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Hardware AI Accelerators for Automotive 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
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
  • Luca Barbisan. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: Technologies for Tailored and Predictive in-vehicle Experience
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    Multimedia Signal Processing
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    Multimedia Signal Processing
  • Alessio Naclerio. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
  • Angela Guastamacchia. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-in progress)

Publications

Last years publications

PoliTO co-authors

Last years publications View all publications in Porto@Iris

More publicationsLess publications

Society and Enterprise

Patents and other intellectual properties