Martina Alutto

Martina Alutto is a Research Fellow at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino and the Consiglio Nazionale delle Ricerche (CNR-IEIIT). She is also a Ph.D. candidate in Pure and Applied Mathematics (37th cycle, 2021-2024). Her research focuses on network effects and behavioral feedback in epidemic models, particularly analyzing SIR models with feedback-controlled interactions and network dynamics. She collaborates with Professors Fabio Fagnani and Giacomo Como as thesis tutors.

Teaching roles include serving as a collaborator for courses such as Mathematical Methods, Mathematical Analysis II, and Mathematical Methods for Engineering across multiple academic years (2021/22 to 2024/25). She contributes to the Analysis and Control of Network Systems research group at DISMA.

Her publications explore dynamic behaviors of networked epidemic models, including multiple peaks and control policies. No scientific awards are listed, but her work emphasizes interdisciplinary approaches combining epidemiology, network science, and control theory.