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About me & CV
Where you can Find more About Me and my CV
Me in my study attic in Pisa, Italy!
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Vincenzo Lomonaco is an Assistant Professor at the University of Pisa, Italy where he teaches the Artificial Intelligence and Continual Learning courses. Currently, He also serves as Co-Founding President and Lab Director at ContinualAI, a non-profit research organization and the largest open community on Continual Learning for AI, Co-founding Board Member at AI for People, and as 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). Vincenzo is a Task Leader of two main European projects and a Principal Investigator of several industrial research contracts with companies such as Meta, Intel, Leonardo s.p.a. and SeaVision s.r.l.
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 dissertations 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, he loves to study Continual Learning under four main lights: Deep Learning, Distributed Learning and Practical Applications, all within a AI Sustainability developmental framework.
Postdoctoral Researcher
2019 - 2021
Department of Computer Science and Engineering, University of Bologna
Supervisor: Prof. Davide Maltoni
Research topics: Machine Learning, Continual Learning, Computer Vision.
Affliate Researcher
2019 - 2020 (6 months)
AI Labs, Bologna, Italy
Supervisor: Prof. Fabio Cuzzolin
Description: Collaboration on the research project "Continual Learning for Automatic Video Captioning" with the partners AI Labs, University of Bologna and Oxford Brookes.
Visiting Researcher
2019 (3 months)
Numenta, Redwood City, United States
Supervisor: Jeff Hawkins, Subutai Ahmad
Description: Exploratory research on Neuroscience-Inspired approaches for Continual Learning.
Visiting Researcher
2018 (1 month) ENSTAParis Tech, Parigi, France
Supervisor: Prof. David Filliat
Description: Vising researcher in the Autonomous Systems and Robotics Lab lead by Prof. David Filliat. Working on Continual Learning for Robotics.
Visiting Researcher
2017 - 2018 (6 months)
Purdue University, West Lafayette, United States
Supervisor: Prof. Eugenio Culurciello
Description: Vising researcher in the e-Lab laboratory lead by Prof. Eugenio Culurciello. Working on Continual Reinforcement Learning with Deep Architectures.
Machine Learning Software Engineer
2014 - 2015 (6 months)
University of Modena and Reggio-Emilia Supervisor: Luca Zanni, Riccardo Martoglia
Description: Working on a research project in collaboration with the company ILD In-line Devices on the optimization of ML algorithms on embedded devices with MicroLinux OS.
Students Representative
2009 - 2019
Doctoral Students Representative. Department of Computer Science and Engineering, University of Bologna, 2016-2019. Italy.
Students Representative. Department of Physics, Mathematics and Computer Science. University of Modena and Reggio-Emilia, 2012-2013, Italy.
Independent Courses
2014 - Present
Stanford Artificial Intelligence Course (by Udacity)
John Hopkins Practical Machine Learning Course (by Coursera)
Stanford Machine Learning Course (by Coursera)
Deep Learning Course by Google (by Udacity)
Doctoral Degree in Computer Science and Engineering
2015 - 2019
University of Bologna Supervisor: Prof. Davide Maltoni
Dissertation: Continual Learning with Deep Architectures Specialization: Deep Learning, Continual Learning, Computer Vision.
Master Degree in Computer Science
2013 - 2015
Grade: 110/110 with Honors University of Bologna
Supervisor: Prof. Davide Maltoni
Dissertation: Deep Learning for Computer Vision: a Comparison Between Convolutional Neural Networks and Hierarchical Temporal Memories on Object Recognition Tasks
Specialization: Artificial Intelligence, Deep Learning, Parallel Computing
Bachelor in Computer Science
2010 - 2013
Grade: 110/110 with Honors Università di Modena e Reggio-Emilia
Supervisor: Prof. Riccardo Martoglia
Dissertation: Progettazione, Realizzazione ed Accessibilità di un Database Biomolecolare sulle Sequenze Ultraconservate del Genoma Umano
Specialization: Data Analysis, Information Retrieval, Parallel Computing
vincenzo_lomonaco_cv.pdf
221KB
PDF
English Academic CV (last updated 24-05-2022)
For a more business-oriented CV you can look at my Linkedin or you can download my short 3-pages cv in the pdf format (be aware: I update this only occasionally).
Last modified 3mo ago