معرفی
Andreas Austeng is a Professor of Signal Processing and Acoustic Imaging at the Department of Informatics, University of Oslo, leading the Machine Learning section. He is affiliated with the Digital Signal Processing and Image Analysis (DSB) research group. His research focuses on medical ultrasound imaging, beamforming, sonar systems, and applications of AI/deep learning in acoustics. He holds a PhD and has been actively involved in academic leadership roles.
Research interests include medical ultrasound imaging, sonar beamforming, wave propagation, and machine learning integration. He has supervised numerous PhD students, with ongoing and completed projects addressing challenges in adaptive beamforming, synthetic aperture sonar, and medical imaging quality enhancement. His work is funded by initiatives like MEDIMA and CIUS, and he collaborates with institutions such as Kongsberg Maritime and GE Vingmed Ultrasound.
Publications span advancements in beamforming algorithms, array design, and acoustic imaging techniques. His contributions emphasize improving diagnostic accuracy and system performance in medical and underwater acoustics. Projects like Brainsight and interferometric sonar applications highlight his interdisciplinary impact.
