M.Sc. Michael Kern
Note: I'm currently employed as a research scientist at AMD Munich.
I am PhD candidate working at the visualization and computer graphics group of Rüdiger Westermann. My main research topic is scientific visualization of meteorological data, in particular, detecting 3-dimensional extremal features in scalar / vector fields and quantifying the uncertainty in ensemble data. Recent research is about super-sampling of vector field data and feature prediction from weather ensembles using neural networks.
I am in charge of the seminar "How to make a PIXAR movie" and "Data Visualization" and design exercises for the practical course "Game Engine Design".
Publications
A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling
K. Höhlein, M. Kern, T. Hewson, R. Westermann
arXiv:2008.12257, to appear in Meteorological Applications
A Comparison of Rendering Techniques for 3D Line Sets with Transparency
Michael Kern, Christoph Neuhauser, Torben Maack, Mengjiao Han, Will Usher, and Rüdiger Westermann
IEEE Transactions on Visualization and Computer Graphics, 2020
arXiv:1912.08485
[doi] [Bibtex]
Clustering Ensembles of 3D Jet-Stream Core Lines
Michael Kern and Rüdiger Westermann
Proceedings of Vision, Modeling, and Visualization 2019
Interactive 3D Visual Analysis of Atmospheric Fronts
Michael Kern, Tim Hewson, Andreas Schäfler, Rüdiger Westermann and Marc Rautenhaus
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2018)
Robust Detection and Visualization of Jet-stream Core Lines in Atmospheric Flow
Michael Kern, Tim Hewson, Andreas Schäfler, Rüdiger Westermann and Marc Rautenhaus
IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2017)
Interactive Visual Exploration and Refinement of Cluster Assignments
Michael Kern, Alexander Lex, Nils Gehlenborg, and Chris R. Johnson
BMC Bioinformatics
Teaching
Summer Term 2020 - Seminar: Data Visualization
Winter Term 2019 / 2020 - Seminar: Data Visualization
Summer Term 2019 - Seminar: How to make a PIXAR movie
Winter Term 2018 / 2019 - Seminar: How to make A PIXAR movie
Summer Term 2018 - Seminar: How to make A PIXAR movie
Winter Term 2017/2018 - Seminar: How to make A PIXAR movie
Supervised Thesis
| Topic | Student | Type of Thesis |
|---|---|---|
| 2020 | ||
| Scalable Rendering for Architectural Applications | Evgenija Pavlova | Master |
| Efficient Shadow Accumulation in Digital City Models | Domenik Popfinger | Master |
| Learning a Model for Subsurface Scattering in Translucent Materials with Neural Networks | Nico Otremba | Bachelor |
| Extraction of Vector Field Topology with Neural Networks | Tatiana Baklanova | Bachelor |
| 2019 | ||
| View-Dependent Texture Mipmapping of Complex Geometry | Phillip Hohenester | Master |
| Super-Resolution of Weather Simulation with Deep Learning | Razieh Rezaei | Master |
| Light Transport Simulation in Participating Media with Volume Photon Mapping | Oskar Homburg | Bachelor |
| Simulation of Light Transport in Participating Media with Monte Carlo Path Tracing | Max Oberberger | Bachelor |
| View-dependent Texture Mipmapping in Terrain Heightfields | Albert Zacha | Bachelor |
| Shadowing for Scientific Visualization of Weather Prediction Data | Jeremias Neth | Bachelor |
| Real-Time Raytracing on NVIDIA RTX graphics cards with Vulkan | Torben Maack | Bachelor |
| 2018 | ||
| Opacity-based Rendering of Large Trajectory Datasets with Pixel Synchronization | Christoph Neuhauser | Bachelor |
| 3D Visualization of Surface Topography in Meteorology | Erik Kynast | Bachelor |
| The Value of Map Projections in Meteorology | Annalena Bloch | Bachelor |
| 2017 | ||
| Visualization of Simulated Air Currents for Weather Forecasting and Meteorological Research | Philipp Kaiser | Master |
| 2016 | ||
| Opacity-Based Rendering of Lagrangian Particle Trajectories in Met.3D (partly supervised) | Max Bandle | Bachelor |