👨🏫Your Instructor
Meet the main instructor of the course!
Last updated
Meet the main instructor of the course!
Last updated
This short course on Continual Learning has been designed and implemented by Vincenzo Lomonaco with the help of the teaching assistants and the feedback from the ContinualAI community.
Vincenzo Lomonaco is a 29 years old Assistant Professor at the University of Pisa, Italy and Co-Founding President of ContinualAI, a non-profit research organization and the largest open community on Continual Learning for AI. Currently, He is also a Co-founder and Board Member of AI for People, Director of the ContinualAI Lab and a proud member of the European Lab for Learning and Intelligent Systems (ELLIS).
In Pisa, he works within the Pervasive AI Lab and the Computational Intelligence and Machine Learning Group, which is also part of the and the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE).
Previously, he was a Post-Doc @ University of Bologna (with: Davide Maltoni) where he also obtained his PhD in early 2019 with a dissertation titled “Continual Learning with Deep Architectures” (on a topic he’s been working on for more than 7 years now) which was recognized as one of the top-5 AI dissertation of 2019 by the Italian Association for Artificial Intelligence.
For more than 5 years he worked as a teaching assistant for the Machine Learning and Computer Architectures courses in the Department of Computer Science of Engineering (DISI) at UniBo. In the past Vincenzo have been a Visiting Research Scientist at AI Labs in 2020, at Numenta (with: Jeff Hawkins, Subutai Ahmad) in 2019, at ENSTA ParisTech (with: David Filliat) in 2018 and at Purdue University (with: Eugenio Culurciello) in 2017. Even before, he was a Machine Learning Software Engineer @ iDL in-line Devices and a Master Student @ UniBo.
His main research interest and passion is about Continual Learning in all its facets. In particular, I love to study Continual Learning under three main lights: Neuroscience, Deep Learning and Practical Applications, all within a AI Sustainability developmental framework.
