Monica Visintin

Confirmed Associate Professor
Department of Electronics and Telecommunications (DET)

Profile

Research interests

SELF ORGANIZING NETWORKS

Research topics

  • Self Organizing Networks (SON): KPI prediction, anomaly detection using machine learning techniques

Skills

ERC sectors

PE7_6 - Communication technology, high-frequency technology
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE7_7 - Signal processing
PE7_3 - Simulation engineering and modelling

SDG

Goal 3: Good health and well-being
Goal 9: Industry, Innovation, and Infrastructure

Teaching

Courses of Study Boards

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

  • Signals and systems. A.A. 2017/18, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Signals and systems. A.A. 2018/19, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Signals and systems. A.A. 2019/20, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Signals and systems. A.A. 2020/21, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Signals and systems. A.A. 2021/22, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Workshop " Circuits and algorithms for music processing". A.A. 2018/19, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
  • Teoria ed elaborazione dei segnali. A.A. 2022/23, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
  • Analisi dei segnali. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
MostraNascondi A.A. passati

Research

Research fields

Research groups

Research projects

Projects funded by commercial contracts

  • “Applicazioni di Machine Learning a supporto di Open RAN and Core Network Management and Automation”, (2022-2022) - Responsabile Scientifico
    Commercial Research
  • Applicazioni di Machine Learning a supporto di Open RAN and Core Network Management and Automation”. Progetto n. 17, (2021-2021) - Responsabile Scientifico
    Commercial Research
  • Machine Learning a supporto delle Self Organizing Networks (SON) Progetto n. 23, (2020-2020) - Responsabile Scientifico
    Commercial Research
  • Machine Learning a supporto delle Self Organizing Networks (SON), (2019-2019) - Responsabile Scientifico
    Commercial Research
  • Machine Learning a supporto delle Self Organizing Networks (SON), (2018-2018) - Responsabile Scientifico
    Commercial Research
  • Progetto n. 11 - Machine Learning a supporto delle Self Organizing Networks (SON), (2017-2017) - Responsabile Scientifico
    Commercial Research
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Supervised PhD students

  • Riccardo Schiavone. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 37, 2021-in progress)
    Research subject: Low-complexity, low-latency and high-throughput channel decoders in the short blocklength regime
    Communication and Computer Networks
  • Giulio Franzese. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 33, 2017-2021)
    Thesis: Contributions to Efficient Machine Learning
    Big Data, Machine Learning, Neural Networks and Data Science
    Communication and Computer Networks
    Geo-positioning, Navigation Systems and Remote sensing
    Multimedia Signal Processing
    Optical and Wireless Digital Transmissions Systems

Publications

PoliTO co-authors

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