Alessandro Renda

Dept. of Information Engineering

University of Pisa

Largo Lucio Lazzarino, 1

56122 Pisa PI, Italy

I’m a research fellow at the University of Pisa, working at the Department of Information Engineering (DII) as a member of the Artificial Intelligence-DII (AI-DII) LAB.

My research interests include explainable artificial intelligence and federated learning, machine learning algorithms for data streams, applications of deep learning methodologies and web/ social mining.

I received the M.Sc. degree in Biomedical Engineering from the University of Pisa in 2017 and the Ph.D. degree in Smart Computing jointly awarded by the Universities of Florence, Pisa and Siena, in 2021, with a dissertation titled “Algorithms and Techniques for Data Stream Mining” under the supervision of Prof. Alessio Bechini.

To get in touch, contact me via email: alessandro.renda@unipi.it

selected publications

whole list here

  1. COMCOM
    Enabling federated learning of explainable AI models within beyond-5G/6G networks
    Computer Communications 2023
  2. IEEE TFS
    TSF-DBSCAN: a Novel Fuzzy Density-based Approach for Clustering Unbounded Data Streams
    IEEE Transactions on Fuzzy Systems 2020
  3. TAI
    Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data
    IEEE Transactions on Artificial Intelligence 2024
  4. INFFUS
    Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees
    Information Fusion 2025