Ben’s career at MBARI started in 2014 as a summer intern working under an Office of Naval Research project for enhancing long-duration AUV missions with minimal human intervention. He was hired full time in 2015 by MBARI’s Persistence Lab to design software that will increase the reliability and autonomy of the Long-Range AUV. Under this project, Ben developed machine-learning enabled software that responds automatically to AUV performance anomalies and subsystem failures. Ben is currently an engineer in the Software Embedded Engineering group, where he leads software research and development for MBARI’s fleet of LRAUVs. Ben works closely with a range of PI labs to develop new enabling technologies for oceanographic research and exploration.
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.