Austria's Federal Ministry of Economy, Energy & Tourism committed €2.7 million ($3.2 million) to fund machine learning & signal processing research at Johannes-Keppler-Universität Linz through 2032. The Christian Doppler Laboratory for Signal Processing & Machine Learning in the Steel Industry collaborates alongside voestalpine Stahl developing algorithms for monitoring steel manufacturing processes. Project head Oliver Lang identifies approximate periodic signals, generated by strip mill rotating equipment & oscillating mechanisms, as a critical research focus where existing algorithms prove inadequate. The seven-year program emphasizes theoretical principles & practical implementations addressing domain-specific challenges in steel production.