Summary
Daniel Gusland is a senior researcher and AI specialist based in Oslo with 11 years of experience building radar, sensor-fusion, and counter-drone systems for defense and industry. He has led projects as project manager, tech lead, and system architect, translating research in detection, classification and tracking into multiple operational products. Currently pursuing a PhD on AI for radar—focusing on multi-representation data and temporal models—he balances cutting-edge machine learning with practical, deployable solutions. Known for forging strong industry–research partnerships, he excels at simplifying hard problems to deliver robust situational-awareness systems. An early hands-on background developing radar and LiDAR prototypes for autonomous vehicles gives him uncommon end-to-end insight from signal processing to system integration.
11 years of coding experience
1 year of employment as a software developer
Master of Science (MSc), Kybernetikk, Master of Science (MSc), Kybernetikk at Universitetet i Oslo (UiO)
Bachelor of Science (B.S.), Elektronikk og Informasjonsteknologi, Bachelor of Science (B.S.), Elektronikk og Informasjonsteknologi at Høgskolen i Oslo og Akershus
Norwegian, English