Alexander Windmann

Helmut Schmidt University — Germany

Computer Science · Physical Sciences

4h-index57citations15works3.52yr avg
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Research Topics

Anomaly Detection Techniques and Applications(6), Fault Detection and Control Systems(5), Time Series Analysis and Forecasting(4), Digital Transformation in Industry(3), Advanced Data Processing Techniques(3)

Publications15 total

Industrial AI Robustness Card: Evaluating and Monitoring Time Series Models
arXiv (Cornell University)·2025Open Access
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
2025Open Access
Evaluating Large Language Models for Real-World Engineering Tasks
arXiv (Cornell University)·2025Open Access
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
arXiv (Cornell University)·2025Open Access
Discretization of CPS Time Series with Neural Networks
2024· 1 cited
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
2024· 23 cited
SmartShip: Data Decoding Optimization for Onboard AI Anomaly Detection
2024· 3 cited
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
arXiv (Cornell University)·2024· 1 citedOpen Access
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study
arXiv (Cornell University)·2023· 1 citedOpen Access
Machine Learning for Cyber-Physical Systems
Digital Transformation·2023· 6 citedOpen Access
On a Uniform Causality Model for Industrial Automation
arXiv (Cornell University)·2022Open Access
A Research Agenda for AI Planning in the Field of Flexible Production Systems
2022Open Access
Learning Physical Concepts in CPS: A Case Study with a Three-Tank System
IFAC-PapersOnLine·2022· 9 citedOpen Access
A Research Agenda for AI Planning in the Field of Flexible Production\n Systems
arXiv (Cornell University)·2021· 13 citedOpen Access
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
arXiv (Cornell University)·2021Open Access

Frequent Co-authors

Oliver Niggemann(14), Henrik Steude(6), René Heesch(4), Marvin Schieseck(2), Aljosha Köcher(2), Niklas Widulle(2), Anna Nordhausen(2), Julian Putzke(2), Lukas Moddemann(2), Daniel Boschmann(2), Philipp Wittenberg(1), Bernd Zimmering(1), Jan Lukas Augustin(1), Samim Multaheb(1), Pavle Ivanovic(1), Philipp Neumann(1), Philipp Wittenberg(1), Phillip Johann Overlöper(1), Nemanja Hranisavljevic(1), Maria Krantz(1)