معرفی
Maria Lucia Sampoli is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. She holds a PhD in Computational Mathematics and Operational Research from the University of Milan and has been a faculty member at the University of Siena since 1999, advancing from Research Assistant to tenured Assistant Professor in 2002 and to Associate Professor in 2010. Her academic journey includes a postdoctoral fellowship at the Technical University of Darmstadt and a CNR Senior Fellowship.
- PhD in Computational Mathematics and Operational Research, University of Milan (1998)
- Laurea in Mathematics (Honors), University of Florence (1994)
Her research focuses on Numerical Analysis, particularly in Computer Aided Geometric Design (CAGD), Isogeometric Analysis (IGA), Pythagorean Hodograph (PH) curves and surfaces, Boundary Element Methods, and constrained interpolation and approximation. Recently, she has explored mathematical aspects of deep learning, especially the theoretical foundations of Graph Neural Networks. Her work bridges pure mathematical theory with engineering and computational applications.
The most recent publications highlight a consistent trend in geometric modeling and numerical methods, with increasing interdisciplinary reach into machine learning. Topics span from high-precision curve and surface design to advanced numerical techniques for PDEs and the mathematical analysis of neural networks.
She has participated in and organized numerous international conferences such as SIAM CSE, IGA, and SMART, and has been involved in multiple research projects, some as coordinator. While specific scientific awards are not listed, her invited talks at major conferences reflect recognition in her field.
Maria Lucia Sampoli supervises graduate research and teaches courses including Numerical Calculation and Numerical Modeling. She is actively involved in academic service, including conference organization and research project leadership. She maintains an open-door policy for student consultations and is accessible via email for appointments.
She is affiliated with the SAILab (Siena Artificial Intelligence Lab), indicating institutional engagement with AI and computational intelligence research.
