The pursuit of knowledge and advancement of science is an interdisciplinary effort. Visual computing (i.e, interactive computer graphics and visualization) is a medium that brings together researchers to address and solve challenges of different disciplines, and to deliver integrated research results. Over these years, our group has focused on identifying problems, combining insights, collaborating, and building an extensive research project portfolio with a broad spectrum of researchers and professional practitioners from computer science and other disciplines.

Our group's fundamental and applied research in visual computing has its foundation in
five interrelated research themes (RT):


Non-Photorealistic Rendering (NPR)
How to synthesize images expressively


Sketch-based Interfaces & Modeling (SBIM)
How to represent objects and phenomena intuitively


Visualization and Visual Analytics (Vis&VA)
What to render, measure and correlate in the data


Modeling and Simulation (M&S)
Computational models of
static and dynamic descriptions in the data


Human-Data and Computer Interaction (HDCI)
How people interact with systems and data

These five research themes have been identified over the years as part of our inter-disciplinary work with collaborators and partners from industry and academia as foundation pillars for the next generation of software systems supporting visual computing technologies. Every research project from our group has components (i.e., algorithms, techniques, methods) of these five research themes; however, each research project has one primary, more dominant research theme.