Ph.D. in Ingegneria Informatica E Dei Sistemi , 17th cycle (2002-2004)
Ph.D. obtained in 2005
Tutors:
Elena Maria BaralisProfile
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)
Teaching
Collegi of the PhD programmes
- INGEGNERIA INFORMATICA E DEI SISTEMI, 2023/2024 (40. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2022/2023 (39. ciclo)
Politecnico di TORINO - 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
Collegi of the degree programmes
- Collegio di Ingegneria Elettrica ed Energetica. Componente
- Collegio di Ingegneria Gestionale e della Produzione. Componente invitato
- Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente
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
- AI4CTI - ARTIFICIAL INTELLIGENCE FOR CYBER THREAT INTELLIGENCE , (2025-2028) - Componente gruppo di Ricerca
National Research - 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
- Machine Learning for network supervision and Assurance , (2023-2023) - Responsabile Scientifico
Commercial Research - Machine Learning for Network Supervision and Fault Management , (2022-2022) - Responsabile Scientifico
Commercial Research - Algoritmi di data mining e machine learning per sistemi di Cybersecurity in ambito web , (2022-2024) - Responsabile Scientifico
Consulting - 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
- Luca Barco. Programme in Ingegneria Informatica E Dei Sistemi (cycle 40, 2024-in progress)
Research subject: Spatio-Temporal Data Analytics on Heterogeneous Data
Data science, Computer vision and AI Data science, Computer vision and AI - Etibar Vazirov. Programme in Ingegneria Informatica E Dei Sistemi (cycle 40, 2024-in progress)
- Giuseppe Gallipoli. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2023-in progress)
Research subject: Conversational AI and Big Data for digitally oriented factories
Data science, Computer vision and AI Data science, Computer vision and AI Data science, Computer vision and AI - Daniele Rege Cambrin. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2022-in progress)
Research subject: Big Spatial Data Analytics
Data science, Computer vision and AI Data science, Computer vision and AI - Lorenzo Vaiani. Programme in Ingegneria Informatica E Dei Sistemi (cycle 37, 2021-in progress)
Thesis: Exploring the Use of Deep Models to Analyze Data in Multimodal Scenarios
Data science, Computer vision and AI Data science, Computer vision and AI - Luca Colomba. Programme in Ingegneria Informatica E Dei Sistemi (cycle 36, 2020-2024)
Thesis: Spatial data science: from aerial data to discrete spatio-temporal event analysis
Life sciences Software engineering and Mobile computing
Publications
Last years publications
PoliTO co-authors
Publications by type
Last years publications View all publications in Porto@Iris
- Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2025)
Packet Loss in Real-Time Communications: Can ML Tame its Unpredictable Nature?. In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 22, pp. 72-91. ISSN 1932-4537
Contributo su Rivista - Ding, Yihao; Vaiani, Lorenzo; Han, Caren; Lee, Jean; Garza, Paolo; Poon, Josiah; ... (2024)
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. In: Association for Computational Linguistics 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, pp. 15233-15244
Contributo in Atti di Convegno (Proceeding) - Rege Cambrin, Daniele; Cagliero, Luca; Garza, Paolo (2024)
DQNC2S: DQN-based Cross-stream Crisis event Summarizer. In: 46th European Conference on Information Retrieval. ECIR 2024, Glasgow (UK), March 24–28, 2024, pp. 422-430. ISSN 0302-9743. ISBN: 978-3-031-56062-0
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; Cagliero, Luca; Garza, Paolo (2024)
Emotion Recognition from Videos Using Multimodal Large Language Models. In: FUTURE INTERNET, vol. 16. ISSN 1999-5903
Contributo su Rivista - Battini, Daria; Berti, Nicola; Cella, Christian; Faroni, Marco; Garza, Paolo; Guidolin, ... (2024)
Designing the Operator of the Future: The Architecture of Human Digital Twin Systems. In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024, Vienna (AUT), August 28-30, 2024, pp. 355-360. ISSN 2405-8971
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 06 Jan 2024 - 09 Jan 2024, pp. 65-70. ISBN: 979-8-3503-0457-2
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. In: 26th International Symposium on Multimedia, Tokyo (JP), 11-13 December 2024, pp. 63-70. ISBN: 979-8-3315-1111-1
Contributo in Atti di Convegno (Proceeding) - Rege Cambrin, Daniele; Garza, Paolo (2024)
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. In: Information Systems for Crisis Response and Management Conference, Münster (DEU), May 25-29, 2024
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
Towards the Detection of Unobservable Losses in Real-Time Communications. In: 2024 IEEE 30th International Symposium on Local and Metropolitan Area Networks (LANMAN), Boston, USA, 10 July 2024 - 11 July 2024, pp. 21-26. ISBN: 979-8-3503-5209-2
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. In: COMPUTER NETWORKS, vol. 249. ISSN 1389-1286
Contributo su Rivista - Rege Cambrin, Daniele; Gallipoli, Giuseppe; Benedetto, Irene; Cagliero, Luca; Garza, ... (2024)
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. In: The 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, November 12 –16, 2024, pp. 12060-12079
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. In: 29th IEEE Symposium on Computers and Communications (ISCC) IEEE ISCC 2024, Paris (FRA), 26 - 29 June 2024. ISBN: 979-8-3503-5423-2
Contributo in Atti di Convegno (Proceeding) - LA QUATRA, Moreno; Koudounas, Alkis; Vaiani, Lorenzo; Baralis, Elena; Cagliero, Luca; ... (2024)
Benchmarking Representations for Speech, Music, and Acoustic Events. In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Seoul (KOR), 14-19 April 2024, pp. 505-509. ISBN: 979-8-3503-7451-3
Contributo in Atti di Convegno (Proceeding) - REGE CAMBRIN, Daniele; Garza, Paolo (2024)
Paraphrase Loss for Abstractive Summarization. In: International Conference on Learning Representations, Vienna (AUT), May 11, 2024
Contributo in Atti di Convegno (Proceeding)