Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Big Spatial Data Analytics
Tutors
Research presentation
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
- Data Science and Database Technology. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Business intelligence per big data. A.A. 2024/25, INGEGNERIA GESTIONALE. 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
- Business intelligence per big data. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
- Data Science e Tecnologie per le Basi di Dati. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Business intelligence per big data. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo; Najafirad, Peyman (In stampa)
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Contributo in Atti di Convegno (Proceeding) - REGE CAMBRIN, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, ... (In stampa)
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. In: European Conference on Computer Vision
Contributo in Atti di Convegno (Proceeding) - REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo (In stampa)
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. In: European Conference on Computer Vision
Contributo in Atti di Convegno (Proceeding) - REGE CAMBRIN, Daniele; SCAFFIDI MILITONE, Gabriele; Colomba, Luca; Malnati, Giovanni; ... (In stampa)
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. In: CV2: Computer Vision for Videogames Workshop at ECCV2024, Milano (Italy), 29/09/2024
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)