Jonna Matthiesen is an award-winning deep learning researcher specializing in AI optimization for defense, automotive, and IoT applications. With expertise in hardware-aware neural architecture search, model compression, and inference optimization, she focuses on deployable AI for resource-constrained environments, where reliability and real-time performance matter most. As a seasoned speaker (tinyML 2023, NATO research panel 2025, GAIA 2025), she bridges cutting-edge AI research with high-stakes applications, addressing challenges in latency, energy efficiency, and AI scalability.