Lena Heidemann

Lena Heidemann is an ML Research Engineer at Fraunhofer IKS, specializing in AI-based automation for visual quality inspection. With several years of experience in AI research, she focuses on enhancing the robustness and flexibility of image recognition systems, addressing challenges in Deep Learning adoption in industrial environments. Lena's expertise lies in developing modular AI solutions that leverage expert knowledge, aiming to improve reliability and efficiency in quality inspection processes.