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Peng Wu is an Associate Professor at University College London specializing in Propulsion Systems Design and Integration within the Department of Mechanical Engineering. Before joining UCL, he worked in the marine industry with leading marine consulting engineering organizations. His expertise includes conventional and alternative propulsion systems, ship performance modeling, marine electrical systems, digitalization, data analytics, and machine learning algorithms for marine applications. He obtained his PhD in Marine Engineering from UCL in 2020, focusing on reducing emissions in coastal shipping using fuel cells and batteries, as well as intelligent control through deep reinforcement learning for hybrid propulsion systems. Between 2020 and 2021, he served as a Research Fellow at UCL, where he developed smart anomaly detection systems leveraging deep learning for marine autonomous systems.
University College London • United Kingdom
Developed smart anomaly detection systems using deep learning for marine autonomous systems.