معرفی
Roy Edgar Hansen is Professor II in acoustic imaging at the Department of Informatics, University of Oslo, with his primary position as Chief Scientist at the Norwegian Defence Research Institute (FFI). His work bridges academic research and defense applications in underwater acoustics and signal processing.
Hansen's research focuses on synthetic aperture sonar (SAS), imaging techniques, sonar signal processing, array signal processing, and statistical signal processing. His work spans theoretical developments in signal processing algorithms to practical applications in underwater imaging, seabed mapping, and target detection. He has made significant contributions to interferometric SAS, artifact reduction techniques, and the application of machine learning to sonar image analysis.
His recent publications demonstrate a strong trend toward integrating advanced signal processing with machine learning techniques for SAS applications. He has published extensively on interferometric SAS for bathymetric mapping, uncertainty quantification in deep learning applications for sonar, and the development of novel processing techniques for point scatterer detection and image enhancement. His work covers both fundamental signal processing theory and practical implementation challenges in underwater environments.
Hansen teaches courses including IN5340 Statistical Signal Processing, IN3015 Ultrasound Imaging, and IN5450 Array Signal Processing at the University of Oslo. His research is associated with the Digital Signal Processing and Image Analysis (DSB) research group and the Centre for Innovative Ultrasound Solutions (CIUS) project.
