Data Visualization and Modeling (DaViM) Lab

DaViM Lab Research Overview
The DaViM Lab's research primarily focuses on two core areas: 1) data visualization and 2) geometric modeling and geometry processing.

In the realm of data visualization, our interests lie in devising scalable solutions for the analysis and representation of higher-order scientific data, including vector and tensor fields. We utilize both topology-based techniques and other innovative methodologies. The applicability of our solutions spans a wide range of fields, such as computational fluid dynamics (CFD), automatic and aircraft design, mechanical engineering, climate studies, oceanography, earthquake engineering, fusion science, and medical practices.

When it comes to geometric modeling and geometry processing, our objective is to cultivate efficient and reliable methods for generating and optimizing volumetric meshes, with an emphasis on structured meshes. This is crucial for subsequent computational activities, including simulations. Mesh generation is a vital step for numerous critical scientific computations, and the quality of these meshes often dictates the precision and speed of the computation. Our research endeavors to significantly enhance current meshing techniques. Concurrently, we are passionate about formulating novel methods allowing users to generate and manipulate various vector and tensor fields for a myriad of computer graphics and simulation objectives. This paves the way for an interactive learning environment, enabling both experts and the general public to glean new insights through the dynamic creation of diverse effects.

Our research efforts in these directions have culminated in a plethora of publications. For detailed insights into our work, we invite you to visit the "Publications" page.

The subsequent sections provide an overview of some of our prominent research projects.