Field of research: Synchrotron X-ray imaging
Project: NOVA – Network for Online Visualization and Synergistic Analysis of Tomographic Data
Challenges: Establish tools and policies for community specific open data repositories and collaborative data analysis.


Field of research: Particle accelerator physics
Project: NeoDyn – Novel electro-optical detector systems to analyze the dynamics of electron bunches at  high-repetition rates
Challenges: Digital sampling systems in the pico- to femtosecond range; online data processing with tens of Gigabytes per second


Field of research: Fluid dynamics
Project: ROOF – Dynamical tracking of structures in multiphase fluids by ultrafast X-ray tomography and image-based scanning
Challenges: Fast image-based control



Field of research: Astroparticle physics
Project: DAQ and Data Management for the Karlsruhe Tritium Neutrino Experiment KATRIN
Challenges: Establish an environment to acquire and analyse heterogenous data sources in an international collaboration


Completed projects

Field of research: Synchrotron X-Ray Imaging
Project: UFO – Ultra fast X-ray imaging of scientific processes with on-line assessment and data-driven process control
Challenges: Optimization of X-ray optics; integration of GPU computing in data workflow and control systems; high-throughput DAQ electronics


Field of research: High-energy physics
Case study:  GPUs as an alternative architecture for Track Triggers in HEP
Challenges: Data transfer to GPU and processing at the microsecond level


Field of research: Synchrotron X-ray imaging for material sciences
Project: STROBOS-CODE – Stroboscopic and correlative diffraction imaging
Challenges: Algebraic methods for tomographic reconstruction and 3D correlation techniques



Field of research: Synchrotron X-ray imaging for life sciences
Project: Arthropod Structure revealed by ultrafast Tomography and Online Reconstruction
Challenges: Development of virtual analysis environment, integration in the synchrotron X-ray imaging workflow and advanced segmentation tools


Field of research: Material sciences
Case study: Micro partical imaging velocemetry (uPIV)
Challenges: Development of efficient algorithms for GPUs