Hi, I'm Ulrich

Authors: M. Wollenweber, S. Medghalchi, L. Guimarães, N. Lohrey, C. Kusche, U. Kerzel, T. Al-Samman, S. Korte-Kerzel [Read More]

Authors: S. Medghalchi, E. Karimi, S. Lee, B. Berkels, U. Kerzel, S. Korte-Kerzel [Read More]

Author: U. Kerzel [Read More]

Abstract: Demand forecasting is a central component of the replenishment process for retailers, as it provides crucial input for subsequent decision making like ordering processes. In contrast to point estimates, such as the conditional mean of the underlying probability distribution, or confidence intervals, forecasting complete probability density functions allows to... [Read More]

Deep learning and Artificial Intelligence have the potential to enable new frontier in materials science. In my talk at the (virtual) TMS 2021 we explore how deep learning can enable statistical analysis of demage mechanisms in dual-phase steel. There is a YouTube recording and the slides