Dottorato in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
Theory-guided Data Science models (Abstract)
Tutori:
Daniele Apiletti
Presentazione della ricerca:
PosterProfilo
Argomento di ricerca
theory-based machine learning strategies, graph neural networks, machine learning
Interessi di ricerca
Biografia
Simone is a PhD student at the Department of Control and Computer Engineering. He obtained the Master’s degree jointly at Politecnico di Torino and Université Paris-Saclay (Paris Sud) on Physics of Complex Systems. He is currently working on Graph and Convolutional neural network applications to different domains. His research interest relates to theory-based machine learning strategies, i.e. the integration of data-agnostic prior knowledge to deep learning models to enhance their predictions.
Premi e riconoscimenti
Didattica
Insegnamenti
Corso di laurea magistrale
- Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
- Challenge@PoliTo by Students PoliTO - Living with natural risks. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
- Big data: architectures and data analytics. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Big data: architectures and data analytics. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Business intelligence per big data. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
- Distributed architectures for big data processing and analytics. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Corso di laurea di 1° livello
- Introduction to databases. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Ricerca
Gruppi di ricerca
Pubblicazioni
Coautori PoliTO
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Monaco, Simone; Apiletti, Daniele; Francica, Andrea; Cerquitelli, Tania (2025)
Quantify production planning efficiency through predictive modeling in manufacturing systems. In: COMPUTERS & INDUSTRIAL ENGINEERING, vol. 201. ISSN 0360-8352
Contributo su Rivista - Monaco, Simone (2025)
Theory-guided Data Science models. relatore: APILETTI, DANIELE; , 37. XXXVII Ciclo, P.: 125
Doctoral Thesis - Monaco, Simone; Monaco, Luca; Apiletti, Daniele (2024)
Uncertainty-aware segmentation for rainfall prediction post processing. In: 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Workshops, Barcellona, August 25, 2024 - August 29, 2024
Contributo in Atti di Convegno (Proceeding) - Fassio, Simone; Monaco, Simone; Apiletti, Daniele (2024)
Deep Probability Segmentation: Are segmentation models probability estimators?. In: The 18th IEEE International Conference on Application of Information and Communication Technologies (AICT), Torino (ITA), 25-27 September 2024. ISBN: 979-8-3503-8753-7
Contributo in Atti di Convegno (Proceeding) - Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, ... (2024)
AI models for automated segmentation of engineered polycystic kidney tubules. In: SCIENTIFIC REPORTS, vol. 14. ISSN 2045-2322
Contributo su Rivista - Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; ... (2023)
baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. In: EVALITA 2023, Parma (ITA), September 7th - 8th, 2023. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Monaco, Simone; Apiletti, Daniele (2023)
Training physics-informed neural networks: One learning to rule them all?. In: RESULTS IN ENGINEERING, vol. 18. ISSN 2590-1230
Contributo su Rivista - Monaco, Simone; Apiletti, Daniele; Malnati, Giovanni (2022)
Theory-Guided Deep Learning Algorithms: An Experimental Evaluation. In: ELECTRONICS, vol. 11. ISSN 2079-9292
Contributo su Rivista - 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) - Monaco, Simone; Bethaz, Paolo; Apiletti, Daniele; Baldini, Fabrizio Pio; Caso, Carlo; ... (2022)
Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers. In: EDBT/ICDT Workshop, 6th International workshop on Data Analytics solutions for Real-LIfe APplications, Edinburgh, March 29 - April 1, 2022
Contributo in Atti di Convegno (Proceeding) - Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; ... (2021)
Double-Step deep learning framework to improve wildfire severity classification. In: Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021, Nicosia (Cyprus), March 23-26, 2021. ISBN: 978-3-89318-084-4
Contributo in Atti di Convegno (Proceeding) - Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; ... (2021)
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
Contributo su Rivista