
Ph.D. candidate in Intelligenza Artificiale , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)
Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)
Profile
PhD
Tutors
Teaching
Teachings
Master of Science
- Convex optimization and engineering applications. A.A. 2025/26, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Convex optimization and engineering applications. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Zino, Lorenzo; Ambrosino, Luca; Rizzo, Alessandro; Cao, Ming (2025)
Systems and Control Approaches for Modeling the Coevolution of Epidemics and Behavioral Response: A COVID-19 Case Study. In: Nonlinear and Constrained Control: Applications, Synergies, Challenges and Opportunities / Garone E., Kolmanovsky I., Nguyen T.W., S.L., Springer, pp. 471-498. ISBN: 9783031826801
Contributo in Volume - Ambrosino, Luca; Calafiore, Giuseppe; Nguyen, Khai Manh; Zorgati, Riadh; Nguyen-Ngoc, ... (2024)
Optimizing electric vehicles charging through smart energy allocation and cost-saving. In: 11th International Conference on "Energy, Sustainability and Climate Crisis" - ESCC 2024, Corfù (Gr), August 26-30, 2024., pp. 59-64. ISBN: 978-618-5765-04-0
Contributo in Atti di Convegno (Proceeding)