Dr. Tim Gerrits
RWTH Aachen University,
Department of Virtual Reality and Immersive Visualization
Contact
RWTH Aachen University
Department of Virtual Reality and Immersive Visualization
Seffenter Weg 23
52074 Aachen
visualization@nhr4ces.de
LinkedIn Twitter - @derTimGerrits
Biography
Tim holds a Bachelor and Master degree in Computervisualistics from the University of Magdeburg, Germany, where he also received his PhD in Visualization, working on the visualization of second-order tensor data and vector field ensembles.
From 2019 until 2021, he worked as a postdoctoral researcher at the University of Münster, Germany, with a focus on Visual Analytics approaches for ensemble and uncertain data.
Since 2021, Tim leads the Crosssectional Group Visualization at the National High Performance Computing Center for Computational Engineering Sciences (NHR4CES) as well as the Visualization Group at RWTH Aachen University, Germany.
Thematic Advice
Whenever data is created or measured, there exists a variety of possible ways to view and explore such data. This is highly dependent on the domain and can range from critical applications such as medical procedures or mechanical engineering to purely theoretical concepts.
Tim can offer experience on which visualization techniques might fit the current needs of a domain- or simulation expert and how it might be efficiently applied to the data.
Whenever standard techniques cannot be applied or only offer limited insights, Tim and his team will try to come up with new solutions or methodologies to solve this issue. This includes developing new interactive software, in-situ / in-transit visualizations or defining new features that can be derived and visualized.
Professional Competence
Tims focus lies on Scientific Visualization of spatial data such as scalar, vector or tensor quantities that arise in the context of physical phenomena. This includes either the development of new visualization methodologies for complex and high-dimensional data types, as well as the development of applications for the visual analysis and exploration of data.
In the context of high performance computing, bringing these visualizations to large simulations, e.g., as in-situ approaches, has become a major goal to his work.
He is also an active member of the international visualization community and frequently participates as speaker, organizing committee member and reviewer for the top visualization conferences.