M. Eng. Hubert Padusinski studied Electronic and Mechatronic Systems with a specialization in Information Technology (Bachelor's at Aalen University of Applied Sciences and Master's at the Technical University of Nuremberg). Prior to this, he completed an apprenticeship as an electronics technician at the Karlsruhe Institute of Technology (KIT).

Since then, his work has centered on measurement and testing technology, signal and data analysis, as well as artificial intelligence. He gained practical experience in electronics development at the Institute of Microstructure Technology (KIT), in test rig development for steering angle and torque sensors at Bosch Automotive Steering in Schwäbisch Gmünd, and in research on mobile laboratory robots at Fraunhofer IPA Stuttgart. He completed his master's thesis at Fraunhofer IOSB, investigating how deep learning-based LiDAR segmentation learns and performs in relation to geometric properties of scenes.

Since September 2021, Hubert works as a research associate in the Embedded Systems and Sensors Engineering (ESS) research group at FZI. At the same time, he is pursuing his doctorate under the supervision of Prof. Dr.-Ing. Eric Sax at the Institute for Information Processing Technologies (ITIV) at KIT. In both roles, he focuses on researching methods, test tools, and test rigs for uncovering latent and disentangling inconclusive failure modes in deep learning-based perception systems.