(Dr. mat. nat.) Christian Kehl
Assistant Professor (Tenure Track)
Christian Kehl is a tenure-track assistant professor at SVCG since September 2023, working on visual computing, scientific computing and scientific visualization. In his work, he tackles technical as well as perceptual challenges in modelling, simulating and visualizing processes of the natural sciences. With his academic background in computational geosciences, he applies the visual research preferably to geoscientific topics, such as sustainable energy and environmental sustainability. His geo-visualization research aims at improving the communication between the science community an the public.
Christian started his academic career at TU Delft in 2012 after graduating with M.Eng (cum laude) at the Hochschule Wismar (Germany). He obtained his Ph.D. in Mathematics and Natural Sciences (summa cum laude) in 2017 at Universitetet i Bergen (Norway).
His main research interest is the design, implementation, extension and optimisation of algorithms that integrate observational data (e.g. from remote sensing or domain expert interpretation) in deterministic- and stochastic simulations of dynamic systems (such as fluid flow) as well as uncertain static systems (such reservoir architectures), and the visualisation of those systems on modern, easily-accessible platforms. Visual perception and interaction within those platforms are key aspects to make the visualizations effective.
- email: c.kehl@rug.nl
- personal homepage: https://christian.kehl-foto.de/blog
- work location: Bernoulliborg (b. 5161), room 456
- Visiting and postal address
Teaching
- Introduction to Computing Science (2023/24): Tutor
- Introduction to Computer Graphics and Visualisation: Course coordinator, lecturer
- Introduction to Image Processing: Course coordinator, lecturer
Research Interests
- Scientific Visualization
- (Geo)-Visualization
- Visual Computing
- Scientific Computing
- Computational Geosciences
- Visual- and Interaction Design
Publications
Project Topics
- Segmentation, Alignment, Classification and Measurement of Polarized Thin-Section Spectral Microscope Images for Geological Core Samples PDF - Project 1, PDF - Project 2, PDF - Project 3
- Exploring the Design Space of Oceanographic Fluid-Flow Visualisations PDF - Project 1, PDF - Project 2, PDF - Project 3, PDF - Project 4
- Regional Feature Descriptors for Reconstructing Image Series: PDF - Short programming project, PDF - Thesis project
- Interactive, Visual Track-and-Trace of Particles on Dutch Coastlines PDF
- Explorative Toolbox for Teaching Geostatistical Modelling PDF