Associate Professor (L. 240)
Department of Control and Computer Engineering (DAUIN)
- Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
- Vice Coordinator Academic Board - Ph.D. programme in Artificial Intelligence
Profile
Research interests
Scientific branch
(Area 0009 - Industrial and information engineering)
Skills
ERC sectors
SDG
Other research or teaching roles outside Politecnico
- Ricercatore a tempo det., presso Istituto Italiano di Tecnologia - IIT (1/10/2017-30/9/2020)
- Ricercatore a t.d. - t.pieno (art. 24 c.3-a L. 240/10), presso Università degli Studi di ROMA "La Sapienza" (23/8/2016-1/10/2017)
Teaching
Collegi of the PhD programmes
- INGEGNERIA INFORMATICA E DEI SISTEMI, 2022/2023 (39. ciclo)
Politecnico di TORINO - INTELLIGENZA ARTIFICIALE (DOTTORATO NAZIONALE), 2022/2023 (39. ciclo)
Politecnico di TORINO - NAZIONALE IN INTELLIGENZA ARTIFICIALE, 2021/2022 (38. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA, 2016/2017 (33. ciclo)
Università degli Studi di ROMA "La Sapienza"
Collegi of the degree programmes
Teachings
Master of Science
- Machine learning and Deep learning. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Advanced Machine Learning. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data analysis and Artificial Intelligence. A.A. 2023/24, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Titolare del corso
- Machine learning and Deep learning. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Advanced Machine Learning. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data analysis and Artificial Intelligence. A.A. 2022/23, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Titolare del corso
- Machine learning and Deep learning. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Advanced Machine Learning. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Data analysis and Artificial Intelligence. A.A. 2021/22, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Titolare del corso
- Machine learning and Deep learning. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Machine Learning and Artificial Intelligence. A.A. 2020/21, INGEGNERIA MATEMATICA. Titolare del corso
- Machine Learning and Artificial Intelligence. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Machine learning and Deep learning. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Bachelor of Science
- Tecniche di programmazione. A.A. 2021/22, INGEGNERIA GESTIONALE. Collaboratore del corso
- Tecniche di programmazione. A.A. 2020/21, INGEGNERIA GESTIONALE. Collaboratore del corso
- Tecniche di programmazione. A.A. 2019/20, INGEGNERIA GESTIONALE. Collaboratore del corso
- Tecniche di programmazione. A.A. 2018/19, INGEGNERIA GESTIONALE. Collaboratore del corso
Research
Research groups
Research projects
Projects funded by competitive calls
- ELSA - European Lighthouse on Secure and Safe AI, (2022-2025) - Responsabile Scientifico
UE-funded research - HE - Global Challenges - Digital, Industry and Space
Projects funded by commercial contracts
- Tecniche di intelligenza artificiale per l’analisi di dati satellitari, (2024-2025) - Responsabile Scientifico
Commercial Research - Industrial Robots Trajectory Generation, (2021-2024) - Responsabile Scientifico
Commercial Research - Studio di tecniche di Intelligenza Artificiale per il supporto di sistemi di Web Protection e Cybersecurity basati su informazioni multimodali, (2022-2024) - Responsabile Scientifico
Consulting
Supervised PhD students
- Stephany Ortuno Chanelo. Programme in Intelligenza Artificiale (39th cycle, 2023-in progress)
- Andrea Protopapa. Programme in Intelligenza Artificiale (39th cycle, 2023-in progress)
- Leonardo Iurada. Programme in Intelligenza Artificiale (38th cycle, 2022-in progress)
- Paolo Rabino. Programme in Intelligenza Artificiale (38th cycle, 2022-in progress)
- Gabriele Tiboni. Programme in Intelligenza Artificiale (37th cycle, 2021-in progress)
- Antonio Alliegro. Programme in Ingegneria Informatica E Dei Sistemi (36th cycle, 2020-in progress)
- Francesco Cappio Borlino. Programme in Ingegneria Informatica E Dei Sistemi (36th cycle, 2020-in progress)
Thesis: Addressing Distributional Shift challenges in Computer Vision for Real-World Applications - Silvia Bucci. Programme in Ingegneria Informatica E Dei Sistemi (35th cycle, 2019-2023)
Thesis: Visual Domain Generalization via Self-Supervised Learning
Publications
Latest publications View all publications in Porto@Iris
- Siddiqui, Yawar; Alliegro, Antonio; Artemov, Alexey; Tommasi, Tatiana; Sirigatti, ... (In stampa)
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. In: Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA (USA), Jun 2024
Contributo in Atti di Convegno (Proceeding) - Plizzari, Chiara; Goletto, Gabriele; Furnari, Antonino; Bansal, Siddhant; Ragusa, ... (2024)
An outlook into the future of egocentric vision. In: INTERNATIONAL JOURNAL OF COMPUTER VISION. ISSN 0920-5691
Contributo su Rivista - Lu, Lorenzo Li; D’Ascenzi, Giulia; Cappio Borlino, Francesco; Tommasi, Tatiana (2023)
Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection. In: 22nd International Conference on Image Analysis and Processing (ICIAP 2023), Udine, Italy, September 11–15, 2023, pp. 295-306. ISSN 0302-9743. ISBN: 978-3-031-43152-4
Contributo in Atti di Convegno (Proceeding) - Tiboni, Gabriele; Protopapa, Andrea; Tommasi, Tatiana; Averta, Giuseppe (2023)
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots. In: International conference on intelligent robots and systems (IROS), Detroit (USA), 01-05 October 2023, pp. 612-619. ISBN: 978-1-6654-9190-7
Contributo in Atti di Convegno (Proceeding) - Tiboni, Gabriele; Camoriano, Raffaello; Tommasi, Tatiana (2023)
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. In: International conference on intelligent robots and systems (IROS), Detroit (USA), 01-05 October 2023, pp. 3857-3864. ISBN: 978-1-6654-9190-7
Contributo in Atti di Convegno (Proceeding)