Johannes Nix

Work in the field of signal processing, embedded Linux and real-time applications

Development of robotic software for the ESO MOONS Project, an instrument for the ELT. Developing CAN-based drivers in C++ for robotic instrument parts with over 2000 axes, specification of hardware protocols, test software for robotic positioners in Python, Linux support, algorithm development and test of very complex path planning software in Python, Racket, Rust and C++. Extensive and detailed documentation in LaTeX and MS Word, description of algorithms with Literate Programming tools.

Embedded Systems and high-reliability Cloud Services. Mainly work on C/C++ software, porting kernel drivers to 64 bit, programming of high-performance concurrent software, data analysis, service reliability testing in Go, a little work with AWS.

Condition Monitoring, Signal Processing, Scientific / Numerical Infrastructure Development of algorithms, implementations, and test of TwinCAT software for condition monitoring in industrial applications and wind power plants; high-performance software running on many cores, documentation, data analysis, third level support. Development of scientific infrastructure e.g. numerical routines and libraries for use in the PLC.

Development and optimization of statistical estimation and prediction software for predictions of wind power output (energy forecasting), mainly in Numerical Python. Documentation of existing software using literate programming techniques.

PhD Thesis on signal processing and reduction of dynamical speech noise in hearing aids with real-time systems and on-line filtering algorithms. http://medi.uni-oldenburg.de/download/paper/Nix,Johannes-PhDthesis-2005-ISO-A4-format.pdf