Oliver Niggemann

Helmut Schmidt University — Germany

Engineering · Physical Sciences

22h-index2.1kcitations302works1.32yr avg
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Research Topics

Flexible and Reconfigurable Manufacturing Systems(88), Fault Detection and Control Systems(78), Anomaly Detection Techniques and Applications(46), Manufacturing Process and Optimization(30), Digital Transformation in Industry(29)

Publications301 total

Industrial AI Robustness Card: Evaluating and Monitoring Time Series Models
arXiv (Cornell University)·2025Open Access
On validating propositional logic system descriptions for fault diagnosis
Engineering Applications of Artificial Intelligence·2025Open Access
Kinetic-model identification in metal-hydride reactions using neural network autoencoder surrogate models
Energy and AI·2025Open Access
Breaking Free: Decoupling Forced Systems with Laplace Neural Networks
Lecture notes in computer science·2025Open Access
Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark
arXiv (Cornell University)·2025Open Access
Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants
arXiv (Cornell University)·2025Open Access
An Open Dataset for Temperature Modelling in Machine Tools
arXiv (Cornell University)·2025Open Access
CPSWatch: Lightweight Ontology for System Description and Diagnosis
2025
The HAI-CPPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces
2025
On the Impact of Instance- and Type-Level Modeling on Neural Network-Based Anomaly Detection for Cyber-Physical Systems
2025
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
2025Open Access
Creating Virtual Sensors Using Neural Networks
2025
On the Impact of Pretraining with Simulated Data on Anomaly Detection in CPS - A Case Study
2025· 1 cited
Combining Physical Properties with Probabilistic Methods in Neural Networks for Robust Forecasting in Electric Grids
2025
A Data-Driven Approach for Automating the Design Process of Deep Drawing Tools
Journal of Physics Conference Series·2025Open Access
A Continuous-Time Consistency Model for 3D Point Cloud Generation
arXiv (Cornell University)·2025Open Access
CPS prototype development for AI-based scenario adaptation in flight simulator training
CEAS Aeronautical Journal·2025Open Access
A supervised AI-based toolchain for anomaly detection, diagnosis, and reconfiguration for the life-support system of the COLUMBUS module of the ISS
CEAS Space Journal·2025Open Access
Machine-Learning-Enabled Comparative Modelling of the Creep Behaviour of Unreinforced PBT and Short-Fibre Reinforced PBT Using Prony and Fractional Derivative Models
Applied Mechanics·2025Open Access
Finding optimal solution principles in conceptual design
Proceedings of the Design Society·2025Open Access
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Frequent Co-authors

Alexander Maier(11), Asmir Vodenčarević(5), Florian Pethig(5), Jens Otto(4), Alexander Diedrich(4), Hans Kleine Büning(3), Andreas Bunte(3), Björn Kroll(3), Alexander von Birgelen(3), Stefan Windmann(3), Peng Li(3), Kaja Balzereit(3), Benno Stein(2), Sebastian Schriegel(2), Birgit Vogel‐Heuser(2), Christian W. Frey(2), Volker Lohweg(2), Sebastian Faltinski(2), Jürgen Beyerer(2), Alexander Windmann(2)