IJAT Best Paper Award 2023 for Vinzenz Guski and Prof. Siegfried Schmauder

Together with the partners Robert Wegert, Mohammad Alaa Alhamede and Prof. Hans-Christian Möhring from the IfW, University of Stuttgart, Vinzenz Guski and Prof. Siegfried Schmauder were awarded for their paper

“Sensor-Integrated Tool for Self-Optimizing Single-Lip Deep Hole Drilling”

with the 14th IJAT Best Paper Award, which was published in the International Journal of Automation Technology (IJAT). The paper was selected by members of the IJAT Editorial Board from a list of 87 publications that were published in IJAT Vol. 16 (2022).

The International Journal of Automation Technology is an open access journal that focuses on advanced automation technologies ranging from basic techniques to a variety of applications that meet industrial requirements.