معرفی
Luciana Angiuli is an Associate Professor at the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, where she conducts research in mathematical analysis and probability theory. Her academic career has been primarily associated with the University of Salento, where she completed both her undergraduate degree and PhD under the supervision of Professor Diego Pallara.
Her educational background includes:
- Degree in Mathematics (2003) from the University of Salento
- PhD in Mathematics (2008) from the University of Salento
Professor Angiuli's research focuses on mathematical analysis and probability theory, with particular expertise in Kolmogorov operators, evolution equations, semigroup theory, and partial differential equations. Her work often addresses problems involving unbounded coefficients and nonautonomous systems, making significant contributions to understanding the properties of solutions to complex mathematical models. She has developed important results in hypercontractivity, gradient estimates, and invariant measures, which have applications in stochastic processes and differential games.
Her publication record demonstrates a consistent research trajectory with numerous articles in reputable mathematics journals. Her work shows a progression from foundational studies on semigroups and bounded variation functions to more complex investigations of coupled systems and infinite-dimensional analysis. The interdisciplinary nature of her research connects mathematical analysis with probability theory and has implications for various applied fields.
Professor Angiuli is actively involved in teaching at the University of Salento, where she instructs courses in mathematical analysis and statistics for engineering and biotechnology programs. She maintains regular office hours by appointment, offering students both in-person and virtual consultation options through Microsoft Teams. Her commitment to education is evident in her detailed examination procedures and transparent grading practices as documented in departmental announcements.
