Environment and Health
Ocean Simulation Development:
- Implemented “analysis members” (output variables) for MPAS-Ocean (Model for Prediction Across Scales) in Fortran90. in collaboration with physics and oceanography experts.
- Converted global methods to mask-based regional methods.
- Validated and visualized simulation outputs using charts and maps.
Compression of In-Situ Simulation Data:
- Developed a workflow to connect the group’s work on energy measurements, algorithms, and cognitive evaluation.
- Produced image databases of climate data using in-situ visualization during large-scale MPAS-Ocean simulation runs (ParaView/Catalyst).
- Encoded and compressed image databases into MPEG-4 files.
- Analyzed the impact of different traversal methods, video encoding parameters, and compression on database size, image quality metrics, and access speeds.
- Supported conduction of a user study to evaluate the cognitive quality of images after encoding and compression using A/B testing.
Energy-Water Nexus:
- Led interface design for the web tool (Docker, Angular).
- Integrated WebWorldWind as base map for visualization of data.
- Implemented and coordinated data fusion for several dozen data layers.
- Collaborated with contractors and staff members.
Hydrological Mesh Optimization:
- Mentored a Postbachelor employee on pit removal in hydrological surface meshes.
- Designed an algorithm to identify and remove topological inconsistencies between digital elevation models for hydrology and line strings of rivers.
Health Data
COVID-19 Tracking and Projections
[!TODO]+ My Contributions
M.Sc. Thesis: 3D In-Context Visualization for Probabilistic Tractography
Tractography is a method to visualize neural tracts using diffusion Magnetic Resonance Imaging data. Traditionally (in deterministic tractography), the nerve tracts are represented as lines of nerve bundles. On the other hand, Probabilistic tractography visualizes the probability of a nerve connection from a given point in the brain to any other point. What you get is volumetric data instead of bundles of lines.
My Master’s project and thesis were kindly co-supervised by staff at the University of Leipzig, in collaboration for the Max Planck Institute for Neurosciences in Cologne. My task was to visualize probabilistic tractography data and integrate my implementation in OpenWalnut, an open source visualization tool for medical data.
- Developed a “focus and context” visualization for probabilistic tractogram, consisting of 2 components:
- a nested isosurface visualization with variable transparency for the tractography data, and
- a viewpoint-aware “glass brain” rendering of the cerebral cortex to serve as context.
- Implemented both modules in C++ and GLSL, and integrated into OpenWalnut.
- Wrote a M.Sc. thesis and presented the results to a colloquium audience.
- Presented the results as a full paper at Visual Computing for Biology and Medicine 2011 and as a poster at IEEE BioVis 2011.
