FABIO GALASSO

The information for each course is on the respective website, including study material and exams, and on the course Google group.
 
Join the Google groups that are linked from the course websites with your institutional email addresses. If you have not received your institutional address yet due to specific situations, please request access to the group but also send an email detailing i. the circumstance; ii. a proof of your acceptance; and iii. a proof of your identity. Requests from non-institutional addresses without those cannot be accepted.
 
Advanced Machine Learning and Computer Vision (AMLCV)
Master's Degree in Data Science and Master's Degree in Computer Science
Webside: https://sites.google.com/di.uniroma1.it/amlcv-2025-2026
Google group: https://groups.google.com/u/0/a/di.uniroma1.it/g/AMLCV_25_26
Exam dates in 2025: 09 Jan, 21 Feb, 19 June, 18 July, 22 Sept, 17 March (extraordinary), 22 Sept (extraordinary)
Exam dates in 2026: TBD Jan, TBD Feb, TBD June, TBD July, TBD Sept, TBD March (extraordinary), TBD Sept (extraordinary)
AMLCV exams are visible on InfoStud and are to be booked on it. Booking starts a month before the exam date and it closes 7 days before the exam.

Fundamentals/Foundations of Data Science and Laboratory (FDS)
Master's Degree in Data Science and Master's Degree in Computer Science
Webside for the course in 2024/2025: https://sites.google.com/di.uniroma1.it/fds-20242025
Exam dates for 2025: 21 Jan, 11 Feb, 24 June, 8 July, 19 Sept, 21 March (extraordinary), 15 Oct (extraordinary)
Please direct enquires about this course and the course in 2025/2026 to Prof. Indro Spinelli
 
Artificial Intelligence and Machine Learning - Unit I (AIML-I)
Bachelor's Degree in Applied Computer Science and Artificial Intelligence (ACSAI)
Webside: https://sites.google.com/di.uniroma1.it/aiml1-2025-2026
Google group: https://groups.google.com/u/0/a/di.uniroma1.it/g/AIML-I_25_26
Exam dates for 2024/2025: 8 Jan, 5 Feb, 20 June, 18 July, 22 Sept, 21 March (extraordinary), 15 Oct (extraordinary)
Exam dates in 2026: TBD Jan, TBD Feb, TBD June, TBD July, TBD Sept, TBD March (extraordinary), TBD Sept (extraordinary)
AIML-I exams are to be booked via the Google form which will be circulated via the course Google group. Booking starts a month before the exam date and it closes 11 days before the exam.

Deep Learning (DL)
Bachelor's Degree in Applied Computer Science and Artificial Intelligence (ACSAI)
Webside: https://sites.google.com/di.uniroma1.it/DL-2025-2026
Google group: https://groups.google.com/u/0/a/di.uniroma1.it/g/DL_25_26
Exam dates for 2024/2025: 16 Jan, 24 Feb, 5 June, 17 July, 22 Sept, 19 March (extraordinary), 13 Oct (extraordinary)
Exam dates in 2026: TBD Jan, TBD Feb, TBD June, TBD July, TBD Sept, TBD March (extraordinary), TBD Sept (extraordinary)
DL exams are visible on InfoStud and are to be booked on it. Booking starts a month before the exam date and it closes 11 days before the exam.

Times and rooms of all exams will be confirmed via your institutional email before the exam. The exam dates of extraordinary exams are subject to room availabilities: they may only be confirmed after the term schedule is finalized; please also check on the Google group.

For more information see also:
- my personal website: https://fgalasso.bitbucket.io/
- the Perception and Intelligence Lab website: https://www.pinlab.org/
- the ItalAI Sapienza start-up website: https://italailabs.com/

Prof. Fabio Galasso heads the Perception and Intelligence Lab (PINLab) at the Dept. of Computer Science, Sapienza University of Rome (Italy). Our group is interested in fundamental research and innovation transfer in computer vision and machine learning. Our specific research interests include distributed and multi-agent intelligent systems, perception (detection, recognition, re-identification, forecasting) and general intelligence (reasoning, meta-learning, domain adaptation), within sustainable (low-power-consumption and constrained-computational-resource sensors and devices) and interpretable (interpretable and verifiable AI) frameworks.

Previously, Fabio founded and directed the Computer Vision Department at OSRAM (Munich, Germany), an international team conducting R&D in artificial intelligence, computer vision and machine learning, in relation to smart lighting applications. We made long-term strategic propositions and cared about the entire life cycle of ideas, from the creation of new value propositions to the implementation of prototypes and pilots. Pilot installations include large industrial partners such as Edeka Supermarkets (smart retail, see press release) and the city of Ulm (smart city, see press). Innovation transfer successes include the VISN product, which was awarded the 2019 IoT/WT Innovation World Cup, the 2019 Digital Champions Award, and the 2018 Deutscher Digital Award.

Prior to OSRAM, he has conducted research on video analysis and segmentation, scene understanding and clustering at the University of Cambridge (UK) and at the Max Planck Institute for Informatics (Germany). He received his Master's Degree cum laude from the RomaTre University (Italy) and his PhD from the University of Cambridge (UK), Department of Engineering, following research work on texture analysis and 3D reconstruction. Before and after his Master's Degree, he gained experience as a Researcher in the Ericsson Laboratories and as a Project Engineer in Telecom Italia. In his career, he has been involved in consulting work relating to computer vision.

Fabio has coordinated a Marie Sklodowska-Curie Actions project (Horizon 2020), and was Principal-Co-Investigator in several Italian- and German-funded projects, from the Ministry of Education and from the Ministry of Economics. He has served as an area and industrial chair at international conferences, as a reviewer for journals and conferences, and as a co-chair of international workshops.

Fabio is passionate about new ideas and transforming them into products.
Please refer to my website for more infos: https://fgalasso.bitbucket.io/