Luca Lombardo

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

Profile

Research interests

Artificial intelligence
Biomedical applications
Cultural heritage
Enviromental monitoring
Gas sensors
Measurement systems
Wireless sensor network

Scientific branch

IMIS-01/B - Electric and Electronic Measurements
(Area 0009 - Industrial and information engineering)

Research topics

  • Development and characterization of measurement systems for environmental monitoring, biomedical applications and cultural heritage preservation

Skills

ERC sectors

PE7_6 - Communication systems, wireless technology, high-frequency technology
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
PE6_1 - Computer architecture, embedded systems, operating systems
PE4_16 - Corrosion
PE6_2 - Distributed systems, parallel computing, sensor networks, cyber-physical systems
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE7_8 - Networks, e.g. communication networks and nodes, Internet of Things, sensor networks, networks of robots
PE5_6 - New materials: oxides, alloys, composite, organic-inorganic hybrid, nanoparticles

SDG

Goal 3: Good health and well-being
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable cities and communities
Goal 13: Climate action

Teaching

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Laboratories

Supervised PhD students

  • Davide Sgro'. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2025-in progress)
  • Marco Sento. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2024-in progress)
    Research subject: Development of a wireless sensor network for quality monitoring in industrial plants
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
    Communication and Computer Networks
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
    Communication and Computer Networks
    Analog, Power and Mixed-Signal Circuits and Embedded Systems
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
    Communication and Computer Networks
  • Amina Vietti. Programme in Metrologia (36th cycle, 2020-2024)
    Thesis: Imaging techniques: new perspectives for the conservation of metallic artefacts

Publications

Latest publications View all publications in Porto@Iris