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Research Group led by Prof. Dr. rer. nat., Dr.-Ing. habil. Florian Zaussinger
Research areas and areas of expertise
Key areas of theoretical research include, amongst others:
- Self-supervised, physics-based neural networks
- AI models with limited data
- numerical flow simulation
- Reconstruction of global data from local data
Application-oriented problems include, amongst others:
- Control of microgravity experiments
- Post-processing of very large data sets
- Optimised high-performance computing
Areas of application covered include:
- Application to particle-laden microgravity experiments
- Physics: real-time statistics, particle tracking and data reduction
- Medicine: 3D reconstruction of cells, detection of apoptotic cells, structure recognition
- Fluid mechanics: reconstruction of global flows, PINN
- Biology: structural detection of root tips
