About
Dr. Sietse van Netten is an Associate Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Artificial Intelligence department within the Bernoulli Institute. His research focuses on biophysics, artificial intelligence, and sensor technology, particularly in bio-inspired systems for hydrodynamic sensing and flow analysis. He holds a prominent position in the field of artificial lateral line systems, developing algorithms and sensor platforms for underwater object localization and environmental monitoring.
Key research themes include neural network applications for hydrodynamic imaging, multiplexed fiber optic sensors (FBG-based), and biomechanical studies of fish lateral line systems. His work bridges biological principles with engineering solutions, advancing robotics, environmental science, and biomedical applications.
Van Netten collaborates internationally on projects involving fluid dynamics, sensor fusion, and machine learning. His contributions span over five decades of publications, emphasizing interdisciplinary approaches to solve complex hydrodynamic and sensory challenges. He currently leads research in sensor array design and bio-inspired systems at the University of Groningen.
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