(*) denotes joint first authorship


  • Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi
    Trajectory Test-Train Overlap in Next-Location Prediction Datasets

  • Massimiliano Luca, Bruno Lepri, Enrique Frias-Martinez, Andra Lutu
    Modeling International Mobility using Roaming Cell Phone Traces during COVID-19
    EPJ Data Science

  • Marco Cardia, Massimiliano Luca, Luca Pappalardo
    Enhancing crowd flow prediction in various spatial and temporal granularities
    The Web Conference (WWW) - Web And The City

  • Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
    Generating Synthetic Mobility Networks with Generative Adversarial Networks [PDF]
    arXiv: 2202.11028


  • Massimiliano Luca, Gianni Barlacchi, Nuria Oliver, Bruno Lepri
    Leveraging Mobile Phone Data for Migration Flows
    Data Science for Migration and Mobility

  • Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo
    Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
    Nature Communication

  • Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
    A Survey on Deep Learning for Human Mobility
    ACM Computing Survey


  • Luckyson Khaidem*, Massimiliano Luca*, Fan Yang, Ankit Anand, Bruno Lepri, Wen Dong
    Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework
    IEEE ACCESS. In IEEE Access, 8, 171528-171541, 2020

  • Massimiliano Luca, Alberto Montresor, Carlo Caprini, Daniele Miorandi
    An Architecture-Independent Data Model for Managing Information Generated by Human-Chatbot Interaction
    MODELSWARD-20. In Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development

  • Lorenzo Angeli, Massimiliano Luca, Chiara Grossi, Francesca Fiore, Andrea Capaccioli, Andrea Guarise, Milena Stoycheva, Maurizio Marchese
    Prove Me Wrong! How Debating Becomes the Secret Weapon to Teach ICT Students Innovation and Entrepreneurship
    IEEE TALE-20. In Proceeding of the 2020 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)


  • Massimiliano Luca, Gianni Barlacchi, Luca Pappalardo, Bruno Lepri
    Deep Learning for Human Mobility
    , tutorial

  • Massimiliano Luca, Gianni Barlacchi, Luca Pappalardo, Bruno Lepri
    Deep Learning for Human Mobility
    , tutorial