Summary
Kai Dresia is a team leader and research scientist at DLR Lampoldshausen with 13 years of experience applying machine learning to the control and testing of liquid rocket engines. He leads a team focused on intelligent control, fault detection, health monitoring, and high-fidelity simulation using EcosimPro, while directly supporting test-bench activities. His PhD work explored model-free reinforcement learning for advanced propulsion control, building on prior masters research that used neural networks to predict heat transfer in methane flows. Comfortable moving between simulation, experiments, and supervision, he routinely advises master and bachelor students and bridges academic methods with operational test needs. Based in Erlenbach, Germany, Kai combines deep aerospace engineering roots from RWTH Aachen with a practical flair for deploying ML-driven control strategies in safety-critical systems. An often-overlooked strength is his hands-on familiarity with propulsion test infrastructure, which helps translate algorithms into test-ready solutions.
13 years of coding experience
Doktor (Ph.D.), Space propulsion, Doktor (Ph.D.), Space propulsion at RWTH Aachen University
German, English