Summary
Lars Aurdal is a co-founder and Head of Research at Findable with 11 years of industry experience and a deep academic background—a Ph.D. in image processing (ENST, Paris) and an M.Sc. in signal processing from NTNU. He blends rigorous research and hands-on R&D across defense, medical imaging, telecommunications and startup settings, specializing in image processing, pattern recognition and deep learning. Lars has led camera software teams at Cisco, driven IR-image and deep-learning research at FFI, and consulted on OCR and document understanding before focusing on automated ML/AI-driven document classification for the built environment. He also taught image processing and algorithm design as an adjunct associate professor at NTNU and UiO, bringing pedagogy to product-focused research. Motivated by sustainability, he applies advanced document understanding to enable reuse, circularity and more efficient building maintenance—an often-overlooked but high-impact application of computer vision.
11 years of coding experience
23 years of employment as a software developer
Second lieutenant, Military communications, Second lieutenant, Military communications at Befalsskolen for hærens samband (BSHSB)
Doctor of Philosophy (Ph.D.), Image processing, Doctor of Philosophy (Ph.D.), Image processing at ENST Paris
Norwegian University of Science and Technology
Norwegian, English, French