Thomas Wilhelm

Thomas Wilhelm is a researcher at the University of Ulm, Germany, specializing in stochastic modeling, image analysis, and materials science. He serves as an exercise instructor for courses including Economic Statistics, Applied Stochastics, and Higher Mathematics during winter semesters from 2021/22 to 2023/24.

His research focuses on multidimensional analysis of particle systems, flotation-based separation processes, and additive manufacturing optimization. He employs data-driven stochastic methods to characterize material properties, fracture mechanics, and particle behavior under varying conditions of size, shape, and wettability.

Publication trends reveal consistent collaboration with V. Schmidt and M. Rudolph, with increasing emphasis on industrial applications in mineral processing and advanced manufacturing. Recent work integrates computational modeling with experimental validation across materials science and engineering disciplines.

Scientific Awards: None mentioned in available information.

Advising and Grants: No student advising or grant funding details documented in provided materials.

He operates within a collaborative research ecosystem at the University of Ulm, contributing to projects involving particle technology, image analysis, and process optimization through interdisciplinary teamwork.