Dipl.-Ing. Benedict Jaeger

Development of deep learning solutions from proofs-of-concept to production-ready models as well as their implementation & deployment in a C++ environment. Includes: image classification, image anomaly detection (reconstruction- & distribution-based autoencoders), semantic segmentation, MLOps, management of kubernetes-cluster, experiment-tracking & model-registry

Infrared Thermal Imaging-Based Turbine Blade Crack Classification Using Deep Learning. The master thesis was also the starting point for following paper: https://link.springer.com/article/10.1007/s10921-022-00907-9

Focusing on AI, Deep Learning, Machine Learning, FEM and Chinese language course

Participation in the development of a modular air treatment platform (GSAT) for commercial vehicles. CAD design of individual GSAT parts and test adapters. Procurement of the designed parts via prototyping.

Project management and support of CIP-optimization of existing feeding systems. Prototype CAD design of a magnetic elevator as well as designing an automation assembly line for staff training with several modules, manipulators and grippers.

Jägerbataillon 23 (Hochgebirge), Gebirgsjäger

Generation of measurement series for the validation of a technical product. Basic research taking into account the technical progress.

Robotik, Raumfahrt, Regelungstechnik, Deep Learning, Machine Learning, Image Recognition

Bachelorarbeit: Aufbau eines optischen Messsystems zur Analyse der Faserlängen am Beispiel rührreibgeschweißter faserverstärkter Kunststoffproben. Notendurchschnitt: 2,3 (guter Erfolg)

Automatisierungstechnik