معرفی
Francesca Calà Campana is a Research Fellow in the Department of Industrial Engineering at the University of Trento, where she has held a post-doctoral position since 2021. Her work integrates advanced mathematical techniques with real-world epidemiological challenges, focusing on computational solutions for disease control.
Her academic background includes:
- Ph.D. in Mathematics from the University of Würzburg (2017-2021)
- M.Sc. in Mathematics from the University of Catania (2015-2017)
- B.Sc. in Mathematics from the University of Catania (2012-2015)
Her research expertise spans differential equations, differential games, and optimal control theory with direct applications in mathematical epidemiology. She develops novel numerical frameworks for modeling infectious disease dynamics, particularly addressing antimicrobial resistance and viral outbreaks like mpox. Her interdisciplinary approach combines theoretical rigor with practical public health implications, emphasizing scalable control strategies across epidemic models.
Analysis of her recent publications reveals a cohesive trajectory in computational epidemiology: she consistently pioneers methods for optimal intervention design using differential game theory and Hamiltonian systems. Her work bridges theoretical mathematics (e.g., Nash equilibria in bilinear games) with urgent health applications (e.g., single-drug resistance control), demonstrating exceptional versatility in translating abstract control theory into actionable treatment protocols.
No scientific awards or fellowships are documented in the provided materials.
There is no available information regarding student supervision, grant funding, or collaborative research teams in the source text. Her professional activities appear concentrated on independent research within the Department of Industrial Engineering.
