teaching

Information about lectures and thesis opportunities

teaching | thesis opportunities

teaching activity @ UNIPI

Data Mining and Machine Learning (A.Y. 23-24)
Lecturer. M.Sc. in Artificial Intelligence and Data Engineering
878II
  • Lab material (available upon request):
    Sharepoint
Informatica Industriale e Process Analytics (A.Y. 22-23)
Lecturer. M.Sc. in Ingegneria Gestionale
1022I
  • Lab material (available upon request):
    Sharepoint

past years

Data Mining and Machine Learning (A.Y. 22-23)
Lecturer. M.Sc. in Artificial Intelligence and Data Engineering
878II
  • Lab material (available upon request):
    Sharepoint
Artificial Intelligence for Cybersecurity (A.Y. 21-22)
Assistant Lecturer. M.Sc. in Cybersecurity
931II
Computational Intelligence and Deep Learning (A.Y. 21-22)
Assistant Lecturer. M.Sc. in Artificial Intelligence and Data Engineering
877II
Data Mining and Machine Learning (A.Y. 21-22)
Series of Seminars on Python. M.Sc. in Artificial Intelligence and Data Engineering
878II
Computational Intelligence and Deep Learning (A.Y. 20-21)
Assistant Lecturer. M.Sc. in Artificial Intelligence and Data Engineering
877II
Computational Intelligence (A.Y. 19-20)
Assistant Lecturer. M.Sc. in Embedded Computing Systems
600II
Computational Intelligence (A.Y. 18-19)
Assistant Lecturer. M.Sc. in Embedded Computing Systems
600II

thesis opportunities

:eight_spoked_asterisk: Several thesis opportunities are available at the AI-Lab: take a look at this list, or contact us for an overview on available projects.

past theses

In the last few years, I have been a co-supervisor of several theses:
  • Master Thesis in Computer Engineering, co-supervisor with Prof. A. Bechini, R. D’aurizio, F. Marcelloni.

    Addressing High-dimensional Biclustering of Cancer Omics Data: Indications from Computational Experimentations

  • Master Thesis in Computer Engineering, co-supervisor with Prof. F. Marcelloni, P. Ducange.

    Design and implementation of Federated Clustering Algorithms

  • Master Thesis in Computer Engineering, co-supervisor with Prof. P. Ducange, F. Marcelloni.

    Design and Implementation of an Adaptive Fuzzy Density-based Clustering Algorithm for Streaming data

  • Master Thesis in Biomedical Engineering, co-supervisor with Prof. A. Bechini.

    Development of a deep learning system for patient-specific real-time arrhythmia detection: Addressing choice of features and data imbalance

  • Master Thesis in Computer Engineering, co-supervisor with Prof. A. Bechini, B. Lazzerini, F. Marcelloni.

    Exploitation of web and social network data for event detection and opinion mining: an enterprise application use case

  • Master Thesis in Biomedical Engineering, co-supervisor with Prof. A. Bechini.

    A Novel Deep Learning Solution for Predicting the Secondary Structure of RNA

  • Master Thesis in Computer Engineering, co-supervisor with Prof. A. Bechini, F. Marcelloni.

    A novel fuzzy density-based clustering algorithm for streaming data