A Hybrid Framework for Bearing Fault Diagnosis using Physics-guided Neural Networks. - Lukas Krupp; Andreas Hennig; Christian Wiede; Anton Grabmaier (ICECS, 2020)

Approximate Fast Fourier Transform-based Preprocessing for Edge AI. - Lukas Krupp; Christian Wiede; Anton Grabmaier (ETFA, 2022)

Hardware Accelerators for a Convolutional Neural Network in Condition Monitoring of CNC Machines. - Ingo Hoyer; Oscar Berg; Lukas Krupp; Alexander Utz; Christian Wiede; Karsten Seidl (SENSORS, 2023)

A Cognitive Sensor System Architecture for the Monitoring of Flexible Machining Systems. - Lukas Krupp; Christian Wiede; Joachim Friedhoff; Anton Grabmaier (SENSORS, 2023)

Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning. - Lukas Krupp; Christian Wiede; Joachim Friedhoff; Anton Grabmaier (Sensors, 2023)

Remaining Machining Tool Life Prediction Using Machine Learning - Lukas Krupp (2024)

AIfES: A Next-Generation Edge AI Framework. - Lars Wulfert; Johannes Kühnel; Lukas Krupp; Justus Viga; Christian Wiede; Pierre Gembaczka; Anton Grabmaier (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improving Chip Design Enablement for Universities in Europe - A Position Paper. - Lukas Krupp; Ian O'Connor; Luca Benini; Christoph Studer; Joachim Rodrigues; Norbert Wehn (DATE, 2025)

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems. - Lukas Krupp; Maximilian Schöffel; Elias Biehl; Norbert Wehn (CoRR, 2025)