Collaborations & Supervision
Where I talk about Past, Present and Possible Collaborations


I’m fortunate enough to collaborate with many talented people on my daily research, working within the Pervasive AI Lab and the Computational Intelligence and Machine Learning Group, two of the biggest ML & AI Labs in Italy.
However, I like to collaborate as much as I can with other researchers and organizations across the globe. At the moment I’m a external collaborator at the University of Bologna working within the Alma Mater Research Institute for Human-Centered (Alma-AI), mostly with Davide Maltoni’s group.
Last but not least, through the ContinualAI Research consortium, I collaborate with the leading Continual Learning labs worldwide. Please get in touch if you want to start a collaboration around my research interests!
Other collaborations in the form of European, National or International projects, R&D collaborations with Companies are available in Research Projects.


Are you a bachelor or graduate student interest in Artificial Intelligence and Machine Learning at the University of Pisa? Send me an email, I’ve dozen of projects ready to challenge your best abilities!
Do you want to start a PhD or a Research Fellowship in my lab, just get in touch, we are always looking for talented people to join our quest of making machines truly intelligent. Check out the call for interest below.

Current and Past Students

PhD Students Supervisor / Co-Supervisor 2019 - Present Rudy Semola, Department of Computer Science, University of Pisa, 2021 - Present. Hamed Hemati, Institute of Computer Science, University of St. Gallen, 2021 - Present. Andrea Cossu, Department of Computer Science, Scuola Normale Superiore, 2020 - Present. Gabriele Graffieti, Department of Computer Science and Engineering, University of Bologna. 2020 - 2021. Lorenzo Pellegrini, Department of Computer Science and Engineering, University of Bologna. 2019 - 2021.
Thesis Supervisor / Co-Supervisor 2016 - Present Gabriele Merlin. Replay-based Approaches for Continual Learning. University of Pisa, 2021. (Master Thesis)
Niccolò Lucchesi. Extending Avalanche for Continual Reinforcement Learning: Design, Implementation, Experiments and Continual-Habitat-Lab. University of Pisa, 2021. (Master Thesis) Federico Matteoni. Continual Learning for Human State Monitoring. University of Pisa, 2021. (Bachelor Thesis) Diego Pergolini. Reinforcement Learning: un caso di Studio nell' Ambito Della Animal-AI Olympics. University of Bologna, 2019. (Master Thesis)
Martin Cimmino. RGB-D Object Recognition for Deep Robotic Learning. University of Bologna, 2018. (Master Thesis) Lorenzo Gatto. Apprendimento Continuo per il Riconoscimento di Immagini. University of Bologna, 2018. (Master Thesis) Giacomo Bartoli. Edge AI: Deep Learning techniques for Computer Vision applied to embedded systems. University of Bologna, 2018. (Master Thesis) Claudia Carpineti. Sensors Relevance Analysis for Transportation Mode Recognition, University of Bologna, 2017. (Master Thesis) Giulio Zhou. Machine Learning come Supporto per la Valutazione dei Requisiti Agili. University of Bologna, 2017. (Bachelor Thesis) Riccardo Monica. Deep Incremental Learning for Object Recognition. University of Bologna, 2016. (Master Thesis)
Academic Tutor for Industrial Internship 2021 - Present
Emiliano Marrale. "Sistema di AI per Rilevare Anomalie sui Dati", University of Pisa, 2022.
Lorenzo Ferri. "Applying AI Techniques for Data Analysis and Storytelling", University of Pisa, 2022. Luca Cataldo. "White collar Stress monitorin", University of Pisa, 2021.
Gabriele Masciotti. "Sviluppo di una telecamera intelligente che aggiusta la qualità del video in base alle espressioni del viso", University of Pisa, 2021.


Scientific Advisor 2021 - Present Scientific Advisor for Intellia ICT Website: https://www.intellia.gr