Ph.D. in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Ph.D. obtained in 2026
Dissertation:
Spatio-Temporal Machine Learning for Ecology and Crisis Management (Abstract)
Tutors:
Paolo Garza Daniele Apiletti
Research presentation:
PosterProfile
Research topic
Spatio-Temporal Machine Learning for Ecology and Crisis Management
Research interests
Biography
While many data do not contains spatial or temporal information, the recent availability of public satellite imagery and textual information are excellent sources to support ecological transition and crisis management.
Remote sensing imagery generally contains geolocation and timestamps, which is also common for texts coming from social networks or the world wide web.
The research focuses on developing efficient and scalable machine-learning solutions to help humanity face great challenges, such as managing natural disasters, preserving green areas, and improving food production.
Teaching
Teachings
Master of Science
- Business intelligence per big data. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
- Business intelligence per big data. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
- Business intelligence per big data. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
- Data Science and Database Technology. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Rege Cambrin, Daniele (2026)
Spatio-Temporal Machine Learning for Ecology and Crisis Management. relatore: GARZA, PAOLO; APILETTI, DANIELE; , 38. XXXVIII Ciclo, P.: 139
Doctoral Thesis - Rege Cambrin, Daniele; Corley, Isaac; Garza, Paolo (2025)
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. In: European Conference on Computer Vision, Milan (ITA), September 29–October 4, 2024, pp. 71-86. ISSN 0302-9743. ISBN: 978-3-031-92386-9
Contributo in Atti di Convegno (Proceeding) - Tcaciuc, Claudiu Constantin; Rege Cambrin, Daniele; Garza, Paolo (2025)
Multi Stage Retrieval for Web Search During Crisis. In: FUTURE INTERNET, vol. 17. ISSN 1999-5903
Contributo su Rivista - Rege Cambrin, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, ... (2025)
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. In: European Conference on Computer Vision, Milan (ITA), September 29–October 4, 2024, pp. 115-131. ISSN 0302-9743. ISBN: 978-3-031-91834-6
Contributo in Atti di Convegno (Proceeding) - Rege Cambrin, Daniele; Scaffidi Militone, Gabriele; Colomba, Luca; Malnati, Giovanni; ... (2025)
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. In: CV2: Computer Vision for Videogames Workshop at ECCV2024, Milan (ITA), September 29–October 4, 2024, pp. 374-389. ISSN 0302-9743. ISBN: 978-3-031-92386-9
Contributo in Atti di Convegno (Proceeding) - Rege Cambrin, Daniele; Poeta, Eleonora; Pastor, Eliana; Corley, Isaac; Cerquitelli, ... (2025)
HydroChronos: Forecasting Decades of Surface Water Change. In: 33rd ACM International Conference on Advances in Geographic Information Systems, Minneapolis (USA), November 3 - 6, 2025, pp. 265-276. ISBN: 979-8-4007-2086-4
Contributo in Atti di Convegno (Proceeding) - Cambrin, Daniele Rege; Colomba, Luca; Garza, Paolo (2025)
Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation. In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 18, pp. 12263-12277. ISSN 1939-1404
Contributo su Rivista - 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) - 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) - Pertino, Paolo; Pavarino, Leonardo; Lomolino, Simone; Miotto, Enrico; Cambrin, Daniele ... (2024)
Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images. In: 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024, Milan (ITA), 18-20 September 2024, pp. 254-259. ISBN: 979-8-3503-6213-8
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) - 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) - 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) - Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - 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, pp. 106-113. ISSN 2168-6831
Contributo su Rivista - Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo (2023)
A Model-based Curriculum Learning Strategy for Training SegFormer. In: IEEE 17th International Conference Application of Information and Communication Technologies, Baku (AZ), 18-20 October 2023, pp. 1-6. ISBN: 979-8-3503-0356-8
Contributo in Atti di Convegno (Proceeding) - Gallipoli, Giuseppe; LA QUATRA, Moreno; REGE CAMBRIN, Daniele; Greco, Salvatore; ... (2023)
DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. In: EVALITA 2023, Parma, September 7th-8th 2023
Contributo in Atti di Convegno (Proceeding)