معرفی
Håvard Arnestad is a Research Fellow at the University of Oslo's Department of Informatics, affiliated with the Faculty of Mathematics and Natural Sciences. He is part of the Digital Signal Processing and Image Analysis (DSB) research group and serves as a Group Teacher and Lecturer for the course 'Ultrasound imaging' (IN3015/IN4015). He organizes a bi-weekly journal club focusing on acoustic imaging advancements in sonar and medical ultrasound.
Education: Håvard holds a Master's in Engineering Physics from NTNU (Trondheim), specializing in acoustics. His work experience includes roles at NEO (spectroscopy), CERN (superconducting magnet testing), and Cisco (acoustics/audio engineering).
Research interests span three core areas: classical/adaptive beamforming, interval arithmetic for beampattern analysis, and subsonic radiation from leaky Lamb waves. His work challenges conventional acoustics assumptions and explores applications in medical ultrasound and sonar systems. Key collaborators include Ole Marius Rindal, Andreas Austeng, Sven Peter Näsholm, and Gabor Gereb.
Upcoming conferences include the 2025 Scandinavian Symposium on Physical Acoustics (Geilo), Northern Lights Deep Learning Conference (Tromsø), and the Acoustical Society of America meeting (New Orleans). Past engagements include international symposiums in Germany, Canada, Italy, and the UK. His advising includes MSc students Helene Wold (now at Sonitor) and Chaoran Han (now a PhD candidate).
He maintains active profiles on Google Scholar, ResearchGate, ORCID, and LinkedIn, contributing to interdisciplinary research at the intersection of acoustics, signal processing, and numerical simulations.
