Summary
Lucas Romier is an automation-focused research engineer combining eight years of hands-on PLC and industrial software experience with academic research at the intersection of software engineering and complex automation architectures. He bridges traditional control systems and modern AI, shipping PLC solutions across TwinCAT, TIA Portal and EtherCAT while deploying distributed deep learning and explainable AI on the edge. His work emphasizes long-term reliability—developing a published framework for multi-PLC reconfigurability that enables logic evolution without downtime and quantifying uncertainty in AI-driven process decisions. Comfortable in C++, C#, Java and JavaScript, he has built full-stack tooling and an NLP-powered SaaS extension for enterprise ALM in production. Based in Munich, he teaches and supervises work on technical/process debt in automation, blending practical industry deployments with rigorous academic evaluation. An under-the-hood strength is his focus on real-time, multi-core PLC architectures and high-speed field communication to make industrial systems both smarter and maintainable.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering at Karlsruhe Institute of Technology (KIT)
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering at Technical University of Munich
French, English, German, Portuguese, Chinese