Ben has been working at MBARI since 2014 under an Office of Naval Research project titled: “Fault detection, diagnosis, and mitigation for long-duration AUV missions with minimal human intervention” (ONR grant N00014-14-1-0199). His research is focused on developing software that will give MBARI’s Long-Range AUV’s the ability to mitigate problems autonomously by responding automatically to performance anomalies and subsystem failures.
Ben’s educational background includes a B.Sc. in Marine Science from the Ruppin Academic Center (Israel) and a M.S. in Physical Oceanography from Moss Landing Marine Laboratories. He is interested in time-series data analysis and visualization, hydrodynamic modeling, machine learning and artificial intelligence.
B. Y. Raanan, J. Bellingham, Y. Zhang, B. Kieft, M. J. Stanway, R. McEwen, B. Hobson, “A Real-time Vertical Plane Flight Anomaly Detection System for a Long Range Autonomous Underwater Vehicle,” Proc. MTS/IEEE Oceans’15, pp. 1-6, Washington, D.C., U.S.A., October 2015.