Dottorando in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)
Borsista (BE)
Dipartimento di Automatica e Informatica (DAUIN)
Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Argomento di ricerca
Multi-Agent Deep Reinforcement Learning for complex systems design
Tutori
Presentazione della ricerca
Interessi di ricerca
Biografia
- 2016. MSc in Computer Engineering, Polytechnic University of Turin, 108/110
- Thesis title: Development of algorithms and tools for classification of biological data using non-coding RNA.
- 2014. BSc in Computer Engineering, Polytechnic University of Turin
- Minor in Telematics.
- 2022 - now. Research engineer, Polytechnic University of Turin
- Modeling and simulation of biological Neural Networks
- Automated design and optimization of genetic networks through Reinforcement Learning
- 2021 - now. Teaching Assistant, Polytechnic University of Turin
- Cybersecurity for Embedded Systems (M.Sc.)
- System and device programming in Rust (M.Sc.)
- Algorithms and programming in C (B.Sc.)
- 2020 - 2022. Research engineer, Polytechnic University of Turin & Cultu¯ra¯ Regenerating Systems
- Co-simulation-based evolutionary computation of biofabrication protocols
- 2020 - 2020. Research engineer, University of Turin & Candiolo Cancer Institute - IRCCS
- ML-based Computer-Aided Diagnosis (CAD) system for identification of prostate cancer from MRI
- 2019 - 2019. Teaching assistant, Polytechnic University of Turin
- Programmazione di sistema (System and device programming) MSc course, C++ laboratory
- 2016 - 2019. Research assistant, Polytechnic University of Turin
- Machine learning techniques for large-scale visual and spatio-temporal data analysis
- Big Data and Machine Learning techniques for network monitoring and analysis
Competenze
Settori ERC
Altri titoli
- Member of the Focus Group of Researchers (2023-)
Didattica
Insegnamenti
Corso di laurea magistrale
- Programmazione di sistema. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Corso di laurea di 1° livello
- Algorithms and Programming. A.A. 2023/24, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
- Algorithms and Programming. A.A. 2022/23, ELECTRONIC AND COMMUNICATIONS ENGINEERING (INGEGNERIA ELETTRONICA E DELLE COMUNICAZIONI). Collaboratore del corso
Ricerca
Gruppi di ricerca
Pubblicazioni
Coautori PoliTO
Pubblicazioni degli ultimi anni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Sulpizio, Fabrizio; Giannantoni, Leonardo; Strada, Francesco; Bottino, Andrea (In stampa)
MetaRehab: Enhancing Parkinson's Disease Rehabilitation through Gamified Virtual Reality, a Usability Study. In: IEEE GEM 2024, Torino, Italy, 5-7 June 2024
Contributo in Atti di Convegno (Proceeding) - Giannantoni, Leonardo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano (2024)
Biology System Description Language (BiSDL): a modeling language for the design of multicellular synthetic biological systems. In: BMC BIOINFORMATICS, vol. 25, pp. 1-33. ISSN 1471-2105
Contributo su Rivista - Giannantoni, Leonardo; Savino, Alessandro; Di Carlo, Stefano (2023)
Optimization of synthetic oscillatory biological networks through Reinforcement Learning. In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul (Turkey), Dec. 5 2023 to Dec. 8 2023, pp. 2624-2631. ISBN: 979-8-3503-3748-8
Contributo in Atti di Convegno (Proceeding) - Giannantoni, L; Bardini, R; Di Carlo, S (2022)
A Methodology for Co-simulation-Based Optimization of Biofabrication Protocols. In: International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) 2022, Gran Canaria, Jun. 27-30, 2022, pp. 179-192. ISSN 1611-3349. ISBN: 978-3-031-07802-6
Contributo in Atti di Convegno (Proceeding) - Traverso, Stefano; Trevisan, Martino; Giannantoni, Laura; Mellia, Marco; Metwalley, ... (2017)
Benchmark and comparison of tracker-blockers: Should you trust them?. In: IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA), Dublin, IE, 21-23 June 2017, pp. 1-9. ISBN: 978-3-901882-95-1
Contributo in Atti di Convegno (Proceeding)