Key research themes
1. How do geometric algebra frameworks enhance problem-solving and computational efficiency in geometry and robotics?
This theme investigates the application of geometric algebra (GA) as a unifying mathematical language for geometry-related computations, highlighting its capacity to represent rotations, reflections, and other geometric transformations in a more compact and computationally efficient manner than traditional matrix operations. The theme also explores GA’s utility in robotics for solving kinematic constraints and improving algorithms in various engineering and computer science problems.
2. What role do projective and measurement systems play in the accurate modeling and representation of geometric objects in 2D and 3D?
This area focuses on foundational geometric frameworks—projective geometry and systems of measurement—that facilitate the transition from three-dimensional physical objects to their two-dimensional representations and vice versa. It includes analysis of coordinate systems, projection planes, camera parameters in computer vision, and standards of measurement which are critical to coherent interpretation and reconstruction of geometric objects in engineering and design.
3. How can mathematical modeling and computational algorithms reveal and optimize geometric structures and shape properties?
This theme addresses analytical and computational approaches to uncovering, modeling, and optimizing the intrinsic and extrinsic properties of geometric shapes, including shape optimization techniques, parametric modeling for design, geometric interpretations of natural forms, and mathematical characterization of structure deformations. It integrates shape calculus, mathematical language for surveying, and parametric methods to translate ideal geometric forms into practical, optimized digital and physical models.