Diego Valsesia

Assistant Professor with time contract
Department of Electronics and Telecommunications (DET)

Profile

Research interests

Artificial intelligence
Computer vision and pattern recognition
Deep learning
Digital image processing
Graph neural networks
Remote sensing
Signal denoising
Super-resolution

Scientific branch

ING-INF/03 - TELECOMMUNICATIONS
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE7_7 - Signal processing

Editorial boards

  • IEEE TRANSACTIONS ON IMAGE PROCESSING (2021-), Associate Editor of magazine or editorial series

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

Research fields

Research projects

Projects funded by competitive calls

Supervised PhD students

  • Alessandro Scarciglia. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
  • Ziyao Yi. Programme in Intelligenza Artificiale (39th cycle, 2023-in progress)
  • Luca Savant Aira. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
    Research subject: Multi-image restoration exploiting neural implicit world models
    Big Data, Machine Learning, Neural Networks and Data Science
    Multimedia Signal Processing
    Big Data, Machine Learning, Neural Networks and Data Science
    Multimedia Signal Processing
    Big Data, Machine Learning, Neural Networks and Data Science
    Multimedia Signal Processing
  • Emanuele Aiello. Programme in Intelligenza Artificiale (37th cycle, 2021-in progress)
  • Antonio Montanaro. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-in progress)
    Research subject: Remote sensing image processing using machine learning and deep learning techniques.
    Big Data, Machine Learning, Neural Networks and Data Science
    Geo-positioning, Navigation Systems and Remote sensing
    Big Data, Machine Learning, Neural Networks and Data Science
    Geo-positioning, Navigation Systems and Remote sensing
  • Francesca Pistilli. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35th cycle, 2019-2023)
    Thesis: Learning robust and efficient point cloud representations
    Big Data, Machine Learning, Neural Networks and Data Science
    Multimedia Signal Processing
    Big Data, Machine Learning, Neural Networks and Data Science
    Multimedia Signal Processing
More PhD studentsLess PhD students

Publications

Latest publications View all publications in Porto@Iris

Society and Enterprise

Patents and other intellectual properties