News 25/07/2020: the websites for my next winter semester courses (AY 2020/2021) are online. Both courses would start on October 6th, 2020.
Find on the websites the link to the course mailing lists. Please join those mailing lists with your institutional email addresses.
Advanced Machine Learning (AML):
(note: the course has moved from the II to the I semester, 2nd year)
The course takes place @:
Room B2 (Via Ariosto, 25 -- Ground Floor Side B) on Tuesdays 9:00-12:00 (note: updated time from Nov 17th)
Room 13 (Tumminelli building -- CU007 map) on Fridays 16:00-19:00
The (blended) online lectures are on zoom (credentials are communicated via the Google group (https://groups.google.com/a/di.uniroma1.it/g/aml-20-21)
Fundamentals/Foundations of Data Science and Laboratory (FDS):
The course takes place @:
Room 9 (RM018, via del Castro Laurenziano 7A) on Tuesdays 17:00-19:00
Room 9 (RM018, via del Castro Laurenziano 7A) on Thursdays 15:00-19:00 (note: updated time from Nov 19th)
The Lab (only for DS students) takes place @:
Lab 15 (via Tiburtina 205) on Fridays 9:00-13:00 (note: updated time from Nov 20th)
The (blended) online lectures are on zoom (credentials are communicated via the Google group (https://groups.google.com/u/1/a/di.uniroma1.it/g/FDS-20-21).
Currently remote on Thursdays at 13:00-15:00 (on request a link will be emailed)
Prof. Fabio Galasso heads the Perception and Intelligence Lab (PINLab) at the Dept. of Computer Science, Sapienza University in 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. 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), 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 recently coordinated a Marie Sk odowska-Curie Actions project (Horizon 2020) and was Principal-Co-Investigator in several German-funded projects, from the Ministry of Education and from the Ministry of Economics. He has served as area and industrial chair at international conferences, as reviewer for journals and conferences, and as co-chair of international workshops.
More information is available at: https://fgalasso.bitbucket.io/
|Insegnamento||Codice||Anno||Corso - Frequentare|
|FUNDAMENTALS OF DATA SCIENCE AND LABORATORY||1047264||2020/2021||Data Science|
|ADVANCED MACHINE LEARNING||10589621||2020/2021||Data Science|
|FOUNDATIONS OF DATA SCIENCE||1047627||2020/2021||Computer Science - Informatica|
|FOUNDATIONS OF DATA SCIENCE||1047627||2019/2020||Computer Science - Informatica|
|ADVANCED MACHINE LEARNING||10589621||2019/2020||Data Science|
|FUNDAMENTALS OF DATA SCIENCE AND LABORATORY||1047264||2019/2020||Data Science|
|FOUNDATIONS OF DATA SCIENCE||1047627||2018/2019||Computer Science - Informatica|
|FOUNDATIONS OF DATA SCIENCE||1047627||2017/2018||Computer Science - Informatica|
|FOUNDATIONS OF DATA SCIENCE||1047627||2016/2017||Computer Science - Informatica|