How much Testing is Enough? A Learning Approach. - Asem Eltaher; Markus Maurer; Thomas Form; Mohamed Ayeb (MLDM Posters, 2009)

Agents Learn from Human Experts: An Approach to Test Reconfigurable Systems. - Asem Eltaher; Markus Maurer; Thomas Form; Mohamed Ayeb (SMC, 2009)

Condition Monitoring of Electrical Machines Using Detection Coils. - Florian Bethke; Ludwig Brabetz; Mohamed Ayeb (ISIE, 2019)

Calculation and Analysis of Symmetrical Short Circuit Currents in Permanent Magnet Synchronous Machines. - Lukas Dedeleit; Ludwig Brabetz; Mohamed Ayeb (ISIE, 2019)

Post-Processing of Multimaterial Topology Optimization Results of Permanent Magnet Electrical Machines. - Luise Drüner; Ludwig Brabetz; Mohamed Ayeb (ISIE, 2019)

Automotive Radar Signal and Interference Simulation for Testing Autonomous Driving. - Alexander Prinz; Leo-Tassilo Peters; Johannes Schwendner; Mohamed Ayeb; Ludwig Brabetz (INTSYS, 2020)

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. - Diego Botache; Florian Bethke; Martin Hardieck; Maarten Bieshaar; Ludwig Brabetz; Mohamed Ayeb; Peter Zipf; Bernhard Sick (ACSOS, 2021)

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (CoRR, 2023)

BEAM: Bilevel Evaluation and Analysis of Multi-Object-Tracking Under Latency. - Erik Bauer; Yue Yin; Mohamed Ayeb; Christoph Krause; Ludwig Brabetz (ITSC, 2024)

Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (ECML/PKDD (10), 2024)