Doctoral Research
RWTH Aachen University / Software and Tools for Computational Engineering (STCE) · Aachen, Germany
Research in scientific computing and machine learning centered on Interval Adjoint Significance Analysis (IASA), interval methods, algorithmic and automatic differentiation, and structured neural-network pruning. Thesis submitted; doctoral examination ongoing; degree not yet awarded.
- C++ interval-analysis software with dco/c++ and Boost Interval
- Python, PyTorch, and TensorFlow/Keras research workflows
- ONNX-based model exchange
- Reproducible GPU/HPC experiments with Linux and Slurm