Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Thesis title
From Bio-Inspired to AI-Driven Algorithms: Modeling, Simulation and Optimization of Complex Systems (Abstract)
Research topic
From Bio-Inspired to AI-Driven Algorithms: Modeling, Simulation and Optimization of Complex Systems
Tutors
Research presentation
Keywords
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ERC sectors
Other titles
- Member of the Focus Group of Researchers (2023-)
Teaching
Teachings
Master of Science
- Programmazione di sistema. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bachelor of Science
- 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
Research
Research groups
Publications
PoliTO co-authors
Last years publications
Latest publications View all publications in Porto@Iris
- Giannantoni, Leonardo (2025)
From Bio-Inspired to AI-Driven Algorithms: Modeling, Simulation and Optimization of Complex Systems. relatore: MONTRUCCHIO, BARTOLOMEO; REBAUDENGO, MAURIZIO; , 37. XXXVII Ciclo, P.: 179
Doctoral Thesis - 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 - Sulpizio, Fabrizio; Giannantoni, Leonardo; Strada, Francesco; Bottino, Andrea (2024)
MetaRehab: Enhancing Parkinson's Disease Rehabilitation through Gamified Virtual Reality, a Usability Study. In: 2024 IEEE Gaming, Entertainment, and Media Conference (GEM), Turin (ITA), 5-7 June 2024. ISBN: 979-8-3503-7453-7
Contributo in Atti di Convegno (Proceeding) - 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)