Luman Zhao
Background and activities
Education
- 09/2014-02/2019, Ph.D., Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea
- 09/2012-07/2014, M.Sc., Department of Naval Architecture and Ocean Engineering, Mokpo National University, Korea
- 09/2008-07/2012, B.Eng., Department of Naval Architecture and Ocean Engineering, Mokpo National University, Korea
Research interests
- Autonomous Ship Maneuvering
- Deep Reinforcement Learning
- Hardware-in-the-Loop Simulation
- Optimization
Project experience
- 2019-present: KPN, “Digital Twins for Vessel Life Cycle Service (TwinShip)”
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Scientific, academic and artistic work
2020
- (2020) A human-expertise based statistical method for analysis of log data from a commuter ferry. Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications(ICIEA 2020).
- (2020) Development of Onboard Decision Supporting System for Ship Docking Operations. Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications(ICIEA 2020).
- (2020) Multi-ship collision avoidance control strategy in close-quarters situations: a case study of Dover Strait ferry maneuvering. The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON 2020).
2019
- (2019) COLREGs-compliant multiship collision avoidance based on deep reinforcement learning. Ocean Engineering. vol. 191.
- (2019) COLREGs-compliant multi-ship collision avoidance via deep reinforcement learning. International Conference on Computer Applications in Shipbuilding (ICCAS 2019).