Lukas Krupp

According to our database, Lukas Krupp authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Security Risks in Machining Process Monitoring: Sequence-to-Sequence Learning for Reconstruction of CNC Axis Positions.

Lukas Krupp, Rickmar Stahlschmidt, Norbert Wehn

CoRR, March, 2026

From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs.

Lukas Krupp, Matthew Venn, Norbert Wehn

CoRR, January, 2026

2025

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems.

Lukas Krupp, Maximilian Schöffel, Elias Biehl, Norbert Wehn

CoRR, August, 2025

Improving Chip Design Enablement for Universities in Europe - A Position Paper.

Lukas Krupp, Ian O'Connor, Luca Benini, Christoph Studer, Joachim Rodrigues, Norbert Wehn

Proceedings of the Design, Automation & Test in Europe Conference, 2025

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., June, 2024

Remaining Machining Tool Life Prediction Using Machine Learning

Lukas Krupp

PhD thesis, 2024

2023

Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning.

Lukas Krupp, Christian Wiede, Joachim Friedhoff, Anton Grabmaier

Sensors, October, 2023

A Cognitive Sensor System Architecture for the Monitoring of Flexible Machining Systems.

Lukas Krupp, Christian Wiede, Joachim Friedhoff, Anton Grabmaier

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

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

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

Approximate Fast Fourier Transform-based Preprocessing for Edge AI.

Lukas Krupp, Christian Wiede, Anton Grabmaier

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2020

A Hybrid Framework for Bearing Fault Diagnosis using Physics-guided Neural Networks.

Lukas Krupp, Andreas Hennig, Christian Wiede, Anton Grabmaier

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020