Using FliPSi to Generate Data for Machine Learning Algorithms. - Artur Liebert; Christian Wittke; Jonas Ehrhardt; Richard Jaufmann; Niklas Widulle; Sebastian Eilermann; Maria Krantz; Oliver Niggemann (ETFA, 2023)

Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. - Leon Wehmeier; Sebastian Eilermann; Oliver Niggemann; Andreas Deuter (FIE, 2023)

KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. - Sebastian Eilermann; Leon Wehmeier; Oliver Niggemann; Andreas Deuter (INDIN, 2023)

A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle. - Christoph Petroll; Sebastian Eilermann; Philipp Hoefer; Oliver Niggemann (CoRR, 2023)

Position Paper on Materials Design - A Modern Approach. - Willi Großmann; Sebastian Eilermann; Tim Rensmeyer; Artur Liebert; Michael Hohmann; Christian Wittke; Oliver Niggemann (CoRR, 2023)

Design Automation: A Conditional VAE Approach to 3D Object Generation Under Conditions. - Michael Hohmann; Sebastian Eilermann; Willi Großmann; Oliver Niggemann (ETFA, 2024)

Evaluating Large Language Models for Real-World Engineering Tasks. - René Heesch; Sebastian Eilermann; Alexander Windmann; Alexander Diedrich; Philipp Rosenthal; Oliver Niggemann (CoRR, 2025)