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Staff

Giovanna Turvani

Associate Professor (L. 240)
Department of Electronics and Telecommunications (DET)

Profile

Keywords

Bioacoustic sensing
Cad tools
Digital architectures
Edge ai
Embedded systems
Emerging technologies
Epidemiological modelling
Fpga architectures
Fpga quantum emulators
Fraud detection
Hardware-aware computing
Logic in memory
Low-power iot
Microwave imaging technologies
Nanocomputing
Quantum algorithms
Quantum compilation
Quantum computing
Quantum machine learning
Quantum optimization
Quantum simulations
Qubo modelling
Smart agriculture
Tiny ml

Biography

Development of end-to-end quantum toolchains, from problem formulation to hardware-aware mapping and execution on real or simulated backends. Design of tools for QUBO modeling, quantum circuit simulation and emulation, integrating optimization techniques and machine learning methods. Application of quantum and hybrid algorithms to real-world problems in finance, epidemiology, and control, leveraging quantum optimization and quantum machine learning.

Scientific branch

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

Skills

ERC sectors

PE7_4 - (Micro- and nano-) systems engineering
PE6_6 - Algorithms and complexity, distributed, parallel and network algorithms, algorithmic game theory
LS8_11 - Behavioural ecology and evolution
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
PE6_1 - Computer architecture, embedded systems, operating systems
LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence
SH1_4 - Finance; financial markets
PE7_8 - Networks, e.g. communication networks and nodes, Internet of Things, sensor networks, networks of robots
PE6_14 - Quantum computing (formal methods, algorithms and other computer science aspects)
PE6_14 - Quantum computing (formal methods, algorithms and other computer science aspects)
PE6_12 - Scientific computing, simulation and modelling tools
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

  • Giuseppe La Capra. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (41st cycle, 2026-in progress)
  • Christian Conti. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
  • Andrea De Simone. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
  • Vincenzo Maria Pianese. Programme in Intelligenza Artificiale (40th cycle, 2024-in progress)
  • 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, 2021-2025)
    Thesis: Quantum-related approaches for solving optimization problems: From applications to backend
    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
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Publications

PoliTO co-authors

Last years publications View all publications in Porto@Iris

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Knowledge Valorisation

Technology transfer