Key research themes
1. How can non-commutative algebraic geometry generalize classical projective morphisms like Veronese and Segre embeddings?
This research area focuses on defining and analyzing non-commutative analogues of fundamental projective morphisms (Veronese and Segre maps) within the framework of quadratic non-commutative algebras, which appear in quantum group theory and non-commutative geometry. The goal is to understand these morphisms algebraically (through Gröbner bases) and geometrically and to extend classical embedding concepts to the quantum or non-commutative realm.
2. What algebraic and combinatorial structures characterize finite projective planes via associated monomial algebras and can these structures reflect geometric properties such as Lefschetz properties?
This theme investigates finite projective planes and linear spaces through commutative algebra, constructing two natural associated monomial algebras — the Stanley-Reisner ring of the incidence complex and an inverse system algebra. By studying graded Betti numbers and Lefschetz properties (weak and strong), the research links combinatorial geometry, algebraic invariants, and topological features of finite geometries.
3. How can projective geometry underpin computational 3D modeling and reconstruction from multiple images in computer vision?
This theme explores the application of projective geometry principles for reconstructing three-dimensional objects from two-dimensional camera images. It studies fundamental elements like points, lines, and planes in projective spaces and the relationships induced by single and multiple views, including epipolar geometry and camera parameterizations. The goal is to provide rigorous mathematical frameworks to solve computer vision problems such as structure-from-motion and stereo reconstruction.
4. What are the relationships between algebraic invariants in additive combinatorics and geometric properties of monomial projective curves?
The research theme bridges additive combinatorics, specifically sumsets of integer sets, with algebraic geometry by associating monomial projective curves to finite integer sets. It studies how classical combinatorial quantities like sizes of iterated sumsets correspond to algebraic invariants such as Hilbert functions and polynomials, and uses this to translate additive inverse problems into rigidity conditions on projective curves.
5. How can Bayesian sequential inference incorporating keypoint uncertainty and camera motion improve homography estimation in video sequences?
This area focuses on enhancing homography estimation in videos by explicitly modeling keypoint detections as stochastic elements and linking temporal homographies through affine transformations in a Bayesian framework. Utilizing a two-stage Kalman filter, it seeks to improve robustness, account for uncertainties and dynamics in real camera setups, especially in challenging applications such as sports field registration.
6. What sufficient numerical conditions ensure the existence, smoothness, and irreducibility of equisingular families of projective curves with prescribed singularities?
This theme studies families of projective curves fixed by specified isolated singularities, focusing on their existence, smoothness (T-smoothness), and connectedness (irreducibility) within fixed linear systems. Using deformation theory and cohomological methods, researchers aim to derive explicit, universal, and asymptotically optimal numerical criteria governing the moduli and geometry of these curve families, extending classical knowledge beyond nodal curves.