The IEEE SPS Italy Chapter was established in October 2011 aiming at linking together Italian researchers working in the field of Signal Processing. The Chapter adheres to the mission of the IEEE Signal Processing Society whose purpose is to: advance and disseminate state-of-the-art scientific information and resources; educate the signal processing community; and provide a venue for people to interact and exchange ideas.

The IEEE SPS Italy Chapter organizes the annual IEEE - EURASIP Summer School on Signal Processing and supports the annual GTTI-SPS Thematic Meeting on Multimedia Signal Processing, providing a venue for people to interact and exchange ideas about state-of-the-art scientific achievements, as well as to promote initiatives and encourage the development of the multimedia signal processing community.

Scientific Committee

The Scientific Committee supports the IEEE SPS Italy Chapter in the definition of strategic lines, in the organization of scientific and didactic initiatives, and in the evaluation of scientific projects.

Members of the Scientific Committee for the term 2020-2022:

  • Roberto Rinaldo, University of Udine, President
  • Enrico Magli, Politecnico di Torino, Chapter Chair
  • Giovanni Poggi, University of Naples Federico II
  • Alfonso Farina, formerly Selex ES
  • Tiziano Bianchi, Politecnico di Torino


  • Italian SPS Chapter Master's Thesis Award

    The winner of the 2022 edition of the award for the best Master's thesis on signal processing topics discussed in Italian Universities is:

    • Francesco Pezone, Sapienza Università di Roma, "Dynamic online learning in the Edge Cloud based on the Information Bottleneck Principle", [video

  • The Scientific Committee congratulates the winner and thanks all participants for their excellent contributions. Here are the runners-up:

    • Andrea Corsini, Politecnico di Milano, "Deep Learning Methods for Inverse Supercontinuum Generation", [video
    • Gianluca De Stefano, Univ. Trento, "Mimicry attacks against deep forensic tools to hide manipulations and raise false detections", [video
    • Alessandro Delfino, Roma La Sapienza, "Point cloud denoising basato su filtraggio armonico di manifold", [video
    • Marco Di Giorgi, Univ. Padova, "Data-driven Evaluation of Functional Connectivity Changes in EOG/EEG-based BCI Data from ALS Patients using Convolutional Neural Networks", [video
    • Antonio Giganti, Politecnico di Milano, "Speaker-Independent Microphone Identification in Noisy Conditions", [video
    • Daniele Ugo Leonzio, Politecnico di Milano, "Audio Splicing Detection and Localization Based on Recording Device Cues", [video
    • Massimo Maddaluno, Napoli Federico II, "PBPK-aware data augmentation for breast cancer classification", [video
    • Michael Neri, Roma Tre, "Point cloud object detection and classification for railway applications", [video
    • Lorenzo Papa, Roma La Sapienza, "SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on cloud and edge devices", [video