Esben Uth is a PhD fellow at Aalborg University, specializing in underwater robotic perception with a focus on operations in challenging scenarios. His research lies at the intersection of machine learning, sensor fusion, and underwater sensing technologies, aiming to develop robust methods for feature identification, tracking, and obstacle avoidance under challenging environmental conditions. Esben holds a Master of Science in Engineering from Aalborg University and has a strong background in robotics, control systems, and experimental testing. He is particularly interested in integrating optical, acoustic, and inertial sensors using AI-based approaches trained on synthetic and real-world data to enhance underwater scene understanding.