Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Ateneo (ATENEO)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
theory-based machine learning strategies, graph neural networks, machine learning
Tutors
Research presentation
Research interests
Biography
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.
Teaching
Teachings
Master of Science
- 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. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data management and visualization. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, 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
- Data management and visualization. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data management and visualization. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Bachelor of Science
- Introduction to databases. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Research
Research groups
Publications
PoliTO co-authors
Latest publications View all publications in Porto@Iris
- Monaco, Simone; Barresi, Sebastiano; Apiletti, Daniele (In stampa)
Lorentz-invariant augmentation for high-energy physics. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino, September 18-22 2023
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