معرفی
Sara Brunetti is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. She holds a PhD in Computer Science from the University of Florence (2001) and has been with the University of Siena since 2007, initially as an Assistant Professor before being promoted in 2022. Her academic work spans research, teaching, and international leadership in discrete computational methods.
- Graduate Degree in Mathematics, University of Florence, 1997
- PhD in Computer and Automation Engineering, University of Florence, 2001
Her research focuses on the design of efficient algorithms, particularly in Discrete Tomography, Computational Geometry, Bioinformatics, and Digital Image Analysis. She investigates computational complexity, uniqueness in reconstruction problems, shape descriptors, and majority-rule protocols in distributed systems. Her work bridges theoretical computer science with applications in imaging and molecular systems.
Recent publications show a strong trend in discrete geometry and mathematical morphology, with applications in image reconstruction, molecular modeling, and social network analysis. Her interdisciplinary work appears in mathematics, computer science, and web science venues, reflecting a broad impact across algorithmic disciplines.
Sara Brunetti holds leadership roles in the international research community, notably as Co-Chair of Technical Committee-18 on Discrete Geometry and Mathematical Morphology of the International Association for Pattern Recognition (IAPR) from 2022 to 2024.
She has been actively involved in research projects funded by MIUR, the University of Florence and Siena (PAR scheme), and the COST Action MP1207. She collaborates internationally with institutions including Technische Universität München, University of Szeged, LIMOS (Clermont Auvergne), and Université Louis Pasteur Strasbourg. While no formal list of advisees is provided, she supervises PhD theses and has co-edited special issues in her field.
She is engaged in teaching, offering courses such as Foundations of Programming and Graph Theory at both undergraduate and graduate levels.
