🌀Continual Learning AI Agents
Building truly intelligent and sustainable AI systems!
Hi! 😄 I am an Associate Professor at the Department of AI, Data and Decision Sciences at Luiss Guido Carli University and Director of the ATLAS - "Adaptive and Physical AI Agents" Lab within its AI4Society research center. I am also the co-founder of ContinualIST, a spin-off of the University of Pisa, a founding member of the non-profit organization ContinualAI, and the Principal Investigator of several research projects and industrial collaborations. In just six years of research following my PhD, I have secured over €2 million in funding, including the prestigious Italian Science Fund (FIS) – Starting Grant, a PRIN, and collaborations with international organizations such as Intel, Meta, Leonardo, and ESA. In the last 10 years, I published more than 80 scientific papers in top-tier conferences and journals on the topic of Continual Learning AI Agents. My pioneering research in the field of continual machine learning has been recognized with the prestigious "Marco Somalvico" Award 2025 from the Italian Association for Artificial Intelligence.
Previously...
Previously, I was an Tenure-Track Assistant Professor at the University of Pisa. Even before I was a Post-Doc @ University of Bologna (w/ Davide Maltoni) where I also obtained my PhD in early 2019 with a dissertation titled “Continual Learning with Deep Architectures” (a topic I’ve been working on for almost 10 years now), which was recognized as one of the top-5 AI dissertation of 2019 by the Italian Association for Artificial Intelligence. In the past I’ve been a Visiting Research Scientist at KSSK (w/ Michał Woźniak) in 2024, AI Labs (w/ Fabio Cuzzolin) in 2020, at Numenta (w/ Jeff Hawkins, Subutai Ahmad) in 2019, at ENSTA ParisTech (w/ David Filliat) in 2018 and at Purdue University (w/ Eugenio Culurciello) in 2017. Even before, I was a Machine Learning Software Engineer @ iDL in-line Devices and a Master Student @ University of Bologna.
My main research interest...
My main research interest and passion is about Continual Learning Agents in all its facets, that is how to make machines learn and adapt over time. In particular, I love to study it though the lenses of Generative AI and focusing mostly on Agentic AI, Physical AI, Multi-Agents interactions with the goal of developing truly intelligent and sustainable AI systems for the benefit of all. My work has been featured by Venture Beat, Agenda Digitale, Lombardia Economy, Gazzetta dello Sport, UnipiNews and Sole 24 ore. Notable research milestones include: 1) the 1st PhD dissertation on Deep Continual Learning; 2) the organization of the 1st Continual Learning in Computer Vision workshop at CVPR 2020, 3) the release of Avalanche: the reference open-source library for Continual Learning (winner of the W&B Best Library award) and 4) the authorship of the reference open-access course on Continual Learning (430+ students from 300+ institutions, 5k+ YouTube views).
Are you a prospective PhD student? Do you want to join my lab as a Research Assistant or Post-Doc? We are always looking for talented people to join our lab! Send me an email!
📢 News
[Paper] The articles Continual Model Routing in Evolving Model Hubs and Modular Memory is the Key to Continual Learning Agents have been accepted at ICML 2026!
[Paper] Continual Learning: Applications and the Road Forward, the result of the recent Dagstuhl Seminar on Deep Continual Learning!
[Paper] Design Principles for Lifelong Learning AI Accelerators, published in Nature Electronics!
[Conference] I am one of the Program Chair of CoLLAs 2024 that will take place in Pisa!
[Book] My first edited book "Continual Semi-Supervised Learning" is out!
📧 Contacts
if you want to get in touch:
You can find me also on Twitter, GitHub, LinkedIn, Google Scholar, Research Gate, YouTube and Instagram.
🌍 Where
Office #434, Department of AI, Data and Decision Sciences, Viale Romania, 32, 00197 Roma, Italia. You can ask how to reach my office at the concierge at the entrance.
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