Neural Networks Modelling of Aero-derivative Gas Turbine Engine: A Comparison Study. - Ibrahem M. A. Ibrahem; Ouassima Akhrif; Hany Moustapha; Martin Staniszewski (ICINCO (1), 2019)

On Artificial Intelligence for Simulation and Design Space Exploration in Gas Turbine Design. - Sebastian Pilarski; Martin Staniszewski; Frederic Villeneuve; Dániel Varró (MoDELS (Companion), 2019)

Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime. - Sebastian Pilarski; Martin Staniszewski; Matthew Bryan; Frederic Villeneuve; Dániel Varró (Softw. Syst. Model., 2021)

Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations. - Manuel Sage; Martin Staniszewski; Yaoyao Fiona Zhao (ICCAD, 2023)

Hybrid Cloudification of Legacy Software for Efficient Simulation of Gas Turbine Designs. - Fozail Ahmad; Maruthi Rangappa; Neeraj Katiyar; Martin Staniszewski; Dániel Varró (ICSE-SEIP, 2023)

Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning. - Manuel Sage; Martin Staniszewski; Yaoyao Fiona Zhao (CoRR, 2023)