Associate Professor
Department of Control and Computer Engineering (DAUIN)
- Vice Coordinator Collegio di Ingegneria Informatica, del Cinema e Meccatronica
- Academic Advisor Laurea Magistrale (Master of science-level) in DATA SCIENCE AND ENGINEERING
- Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
Profile
Research interests
Biography
Paolo Garza received the master's and Ph.D. degrees in Computer Engineering from Politecnico di Torino in 2001 and 2005, respectively. He spent three years, from 2010 to 2012, as an assistant professor at Politecnico di Milano. From December 2012 to 2018, he was an assistant professor at Politecnico di Torino. Since December 2018, he has been an associate professor at the Dipartimento di Automatica e Informatica, Politecnico di Torino. His research interests include data mining algorithms, big data analytics, and data science. He has worked on classification, clustering, itemset mining, outlier detection, and scalable algorithms. He coauthored about 100 papers on data mining, machine learning, and big data algorithms.
Scientific branch
(Area 0009 - Industrial and information engineering)
Skills
ERC sectors
SDG
Editorial boards
- EXPERT SYSTEMS WITH APPLICATIONS (2022-), Associate Editor of magazine or editorial series
Conferences
- The 17th IEEE International Conference on Application of Information and Communication Technologies (18/10/2023-20/10/2023), General Co-Chair
- The 16th IEEE International Conference Application of Information and Communication Technologies (12/10/2022-14/10/2022), General Co-Chair
Other research or teaching roles outside Politecnico
- Ricercatore a t.d. (art.1 comma 14 L. 230/05), presso Politecnico di MILANO (1/6/2010-15/12/2012)
Teaching
PhD Boards
- INGEGNERIA INFORMATICA E DEI SISTEMI, 2021/2022 (38. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2020/2021 (37. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2019/2020 (36. ciclo)
Politecnico di TORINO
Courses of Study Boards
Teachings
PhD
- Data mining concepts and algorithms. A.A. 2017/18, INGEGNERIA INFORMATICA E DEI SISTEMI. Teaching assistant
Master of Science
- Big data processing and analytics. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data processing and analytics. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data: architectures and data analytics. A.A. 2017/18, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data: architectures and data analytics. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data: architectures and data analytics. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data: architectures and data analytics. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data: architectures and data analytics. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
- Big data for Internet applications. A.A. 2019/20, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
- Big data for Internet applications. A.A. 2020/21, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
- Big data for Internet applications. A.A. 2021/22, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
- Big data for Internet applications. A.A. 2022/23, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
- Distributed architectures for big data processing and analytics. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Distributed architectures for big data processing and analytics. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Distributed architectures for big data processing and analytics. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Distributed architectures for big data processing and analytics. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Distributed architectures for big data processing and analytics. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Data science lab: process and methods. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Bachelor of Science
- Basi di dati. A.A. 2017/18, INGEGNERIA INFORMATICA. Collaboratore del corso
- Basi di dati. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso
Teaching and training projects
Projects funded by commercial contracts
- Corso di base su Big Data e Data Science, (2019-2019) - Responsabile Scientifico
Commercial contracts
Research
Research groups
Laboratories
Research projects
Projects funded by competitive calls
- NODES - Spoke 2 - Nord Ovest Digitale E Sostenibile - GREEN TECHNOLOGIES AND SUSTAINABLE INDUSTRY (Spoke 2) , (2022-2025) - Responsabile Scientifico di Struttura
PNRR – Mission 4
Projects funded by commercial contracts
- Algoritmi di data mining e machine learning per sistemi di Cybersecurity in ambito web , (2022-2024) - Responsabile Scientifico
Consulting - Machine Learning for Network Supervision and Fault Management , (2022-2022) - Responsabile Scientifico
Commercial Research - Machine learning for networksupervision and fault management , (2021-2021) - Responsabile Scientifico
Commercial Research - Collaboration Research Agreement – CRA tra Politecnico di Torino (DET e DAUIN) e Cisco Systems Inc. (USA)_ "ML4QoE (Machine Learning for QoE): re-enabling QoE for multiparty real time” , (2019-2022) - Responsabile contrattuale
Commercial Research
Supervised PhD students
- Giuseppe Gallipoli. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2023-in progress)
- Daniele Rege Cambrin. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2022-in progress)
Machine Learning Artificial intelligence Machine Learning Artificial intelligence - Lorenzo Vaiani. Programme in Ingegneria Informatica E Dei Sistemi (cycle 37, 2021-in progress)
- Luca Colomba. Programme in Ingegneria Informatica E Dei Sistemi (cycle 36, 2020-in progress)
Research subject: Data Analytics and Big Spatio-Temporal Data
Machine Learning Artificial intelligence
Publications
Last years publications
PoliTO co-authors
Publications by type
Last years publications View all publications in Porto@Iris
- Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (2023)
CaBuAr: California burned areas dataset for delineation [Software and Data Sets]. In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, vol. 11. ISSN 2168-6831
Contributo su Rivista - Cagliero, L; Fior, J; Garza, P (2023)
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 216. ISSN 0957-4174
Contributo su Rivista - Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (2023)
Vision Transformers for Burned Area Delineation. In: MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2022), Grenoble (FR), 19/09/2022
Contributo in Atti di Convegno (Proceeding) - Colomba, Luca; Cagliero, Luca; Garza, Paolo (2023)
Density-based Clustering by Means of Bridge Point Identification. In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, pp. 1-14. ISSN 1041-4347
Contributo su Rivista - Vaiani, Lorenzo; Cagliero, Luca; Garza, Paolo (2023)
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation. In: SemEval-2023 (Workshop of ACL), Toronto, Canada, July 9–14, 2023, pp. 1447-1453
Contributo in Atti di Convegno (Proceeding) - Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafo, ... (2022)
Real-Time Classification of Real-Time Communications. In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 19, pp. 4676-4690. ISSN 1932-4537
Contributo su Rivista - Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafò, ... (2022)
Retina: An open-source tool for flexible analysis of RTC traffic. In: COMPUTER NETWORKS, vol. 202. ISSN 1389-1286
Contributo su Rivista - Vaiani, Lorenzo; LA QUATRA, Moreno; Cagliero, Luca; Garza, Paolo (2022)
Leveraging multimodal content for podcast summarization. In: ACM/SIGAPP Symposium on Applied Computing, Virtual, Online, April 25th 2022 - April 29th 2022, pp. 863-870
Contributo in Atti di Convegno (Proceeding) - Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; ... (2022)
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. In: International Conference on Information and Knowledge Management (CIKM) 2022, Atlanta (Georgia, USA), 17/10/2022 - 21/10/2022, pp. 3893-3897. ISBN: 978-1-4503-9236-5
Contributo in Atti di Convegno (Proceeding) - Colomba, Luca; Cagliero, Luca; Garza, Paolo (2022)
Mining SpatioTemporally Invariant Patterns. In: International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2022, Seattle, Washington (USA), 01/11/2022 - 04/11/2022. ISBN: 978-1-4503-9529-8
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; LA QUATRA, Moreno; Cagliero, Luca; Garza, Paolo (2022)
ViPER: Video-based Perceiver for Emotion Recognition. In: Multimodal Sentiment Analysis Challenge (MuSe 2022), Lisbon (PT), October 10-15, 2022, pp. 67-73
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; Koudounas, Alkis; LA QUATRA, Moreno; Cagliero, Luca; Garza, Paolo; ... (2022)
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers’ Genders. In: Multimodal Sentiment Analysis Challenge (MuSe 2022), Lisbon (PT), October 10 2022, pp. 89-94
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; Koudounas, Alkis; LA QUATRA, Moreno; Cagliero, Luca; Garza, Paolo; ... (2022)
How Much Attention Should we Pay to Mosquitoes?. In: Computational Paralinguistics ChallengE 2022 (ComParE 2022), Lisbon (PT), October 10-14, 2022, pp. 7135-7139. ISBN: 978-1-4503-9203-7
Contributo in Atti di Convegno (Proceeding) - Daraio, Elena; Cagliero, Luca; Chiusano, Silvia; Garza, Paolo (2022)
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 23, pp. 21216-21227. ISSN 1524-9050
Contributo su Rivista - Fior, Jacopo; Cagliero, Luca; Garza, Paolo (2022)
Leveraging Explainable AI to Support Cryptocurrency Investors. In: FUTURE INTERNET, vol. 14. ISSN 1999-5903
Contributo su Rivista