Summary
Cristian Axenie is a Professor of Artificial Intelligence and Embedded AI Group Lead based in Greater Nuremberg with 13 years of industrial and academic experience bridging neuromorphic computing, TinyAI and embedded systems. He holds a Dr.Eng. in Neuroscience and Robotics from TUM and has led research teams at Huawei, Audi labs and Fraunhofer, authoring 50+ peer-reviewed papers and 10+ patents that translate neural engineering concepts into industrial solutions. As Neuromorphic Computing Solutions Lead at Fraunhofer IIS and board member of the NeuroComp-Labs Nordbayern, he combines hands-on systems design with strategic AI impact work (ITU/UN AI4Good). Known as a “full-time researcher, part-time hacker,” he repeatedly moves ideas from lab prototypes to product-focused streams—most recently via a Fraunhofer Attract grant for NEuroMorphic AI for industrial applications. His background in embedded Linux, compilers and automotive systems gives him an uncommon full-stack view of AI from sensor to silicon, enabling practical TinyAI deployments in resource-constrained environments.
13 years of coding experience
13 years of employment as a software developer
M.Sc. Advanced Control Engineering and Artificial Intelligence, M.Sc. Advanced Control Engineering and Artificial Intelligence at Universitatea „Dunărea de Jos” din Galați
"Mihail Kogalniceanu" National College
Venture Creation Programme Entrepreneurship/Entrepreneurial Studies, Venture Creation Programme Entrepreneurship/Entrepreneurial Studies at Saïd Business School, University of Oxford
Doctor of Engineering Sciences (Dr.Eng.) Neuroscience and Robotics, Doctor of Engineering Sciences (Dr.Eng.) Neuroscience and Robotics at Technical University of Munich
English, German, French, Romanian, Italian