About
Laura Brandolini is a Researcher at the Department of Industrial and Information Engineering, University of Pavia, where she collaborates with the Computer Vision and Multimedia Laboratory. She simultaneously serves in the university's ICT area, administering over 200 central servers including backup systems, virtualized services, and hardware infrastructure.
Her educational background includes:
- Master in Computer Engineering (cum laude), University of Pavia, 1998
- PhD in Industrial and Information Engineering, University of Pavia, 2013
Dr. Brandolini's research integrates computational topology with practical imaging applications, specializing in Reeb graph computation for 3D mesh segmentation and medical shape analysis. Her work bridges theoretical computer science with clinical neuroscience, particularly in developing topological descriptors for brain structures like the striatum. This interdisciplinary approach enables novel solutions for surface mesh processing in both industrial and medical contexts.
Her 2012 publications reveal a consistent focus on computational geometry applied to medical imaging, demonstrating how Reeb graph theory can simplify complex 3D shape analysis. These works established foundational techniques for efficient mesh segmentation with applications in neuroimaging and computer-aided diagnosis systems.
She has received the following recognition:
- Best Student Paper Award at ICPRAM 2012
Dr. Brandolini maintains active industry engagement through her PMP certification (held since 2004) and PMI-NIC involvement, while her dual roles demonstrate unique synergy between academic research and enterprise IT operations. Her current work combines server infrastructure management with advancing computer vision methodologies.
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