Research --- Overview Themes Projects Support The pursuit of knowledge and advancement of science, engineering and related happens at different levels of disciplinarity (i.e., intra/cross/multi/inter/trans-disciplinary). Visual Computing (i.e., interactive computer graphics and visualization) is a medium that brings together researchers to address and solve challenges of different domains 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): (RT-1) Non-Photorealistic Rendering (NPR) How to synthesize images expressively (RT-2) Sketch-based Interfaces & Modeling (SBIM) How to represent objects and phenomena intuitively (RT-3) Visualization and Visual Analytics (Vis&VA) What to render, measure and correlate in the data (RT-4) Modeling and Simulation (M&S) Computational models of static and dynamic descriptions in the data (RT-5) 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 research program and projects with collaborators and partners from industry and academia as foundation pillars for the next generation of software systems supporting visual computing technologies. Every 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.