Giovanna Turvani

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

Profile

Skills

ERC sectors

PE7_4 - (Micro- and nano-) systems engineering
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
PE6_1 - Computer architecture, embedded systems, operating systems
PE6_14 - Quantum computing (formal methods, algorithms and other computer science aspects)
PE7_3 - Simulation engineering and modelling

SDG

Goal 4: Quality education
Goal 5: Gender equality
Goal 7: Affordable and clean energy
Goal 9: Industry, Innovation, and Infrastructure

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

  • Antonio Tudisco. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Developing Machine Learning Algorithms using Quantum Computing
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    Modeling, simulation and CAD
    Systems, Automation and Control
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    Modeling, simulation and CAD
    Systems, Automation and Control
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    Modeling, simulation and CAD
    Systems, Automation and Control
    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
  • Deborah Volpe. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (37th cycle, 2021-in progress)
    Research subject: Quantum-related approaches for solving optimization problems
    Micro- and nanotechnologies, devices, systems and applications
    Modeling, simulation and CAD
    VLSI theory, design and applications
    Micro- and nanotechnologies, devices, systems and applications
    Modeling, simulation and CAD
    VLSI theory, design and applications

Publications

PoliTO co-authors

Last years publications View all publications in Porto@Iris

More publicationsLess publications

Society and Enterprise

Patents and other intellectual properties