Sabah Badri-Höher

Sabah Badri-Höher is a Professor at the Kiel University of Applied Sciences (UAS Kiel) in the Department of Digital Signal Processing. She leads the AUV team 'TomKyle' in collaboration with GEOMAR Helmholtz Centre for Ocean Research Kiel and oversees projects like MAUS (autonomous underwater vehicles) and UFOTriNet (automated fish detection).

Research Focus: Her work spans digital signal processing, underwater robotics, sonar data interpretation, acoustic communication, and computer vision. Key applications include AUV navigation, fish tracking, and underwater sensor networks.

Publications: Recent articles emphasize sonar-based fish detection, AUV collision avoidance, cooperative swarm navigation, and signal processing for underwater environments. Trends include machine learning integration (e.g., Kalman filters, deep learning) and multi-sensor fusion.

Student Advising & Projects: She supervises doctoral candidates in signal processing, computer vision, and underwater systems. Major grants include:

• MAUS: Development of interconnected AUVs for coordinated missions.
• UFOTriNet: Automated fish population monitoring using low-light cameras/sonar.

Labs & Teams: Heads the DSV research group, collaborating with GEOMAR on student AUV teams. The lab focuses on underwater robotics, sensor algorithms, and participates in competitions like SAUC-E.