Personal profile
Education
- PhD, National Cheng Kung University
Research Interests
- Autonomous Underwater Vehicle
- Ocean Engineering
- Ocean Renewable Energy
- Weather Guidance System
Experience
- 2013/08 ~ present Assistant Professor, Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
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SDG 14 Life Below Water
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Dive into the research topics where Yu-Hsien Lin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 6 Finished
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開發模組化模擬系統探討浮動式離岸風力發電機流體動力-繫泊動力-空氣動力之全耦合分析
Lin, Y.-H. (PI)
19-08-01 → 20-07-31
Project: Research project
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開發參數化波浪模式模擬極限波對於不同型式之離岸風力發電基樁所造成的溯升與波浪荷載效應
Lin, Y.-H. (PI)
17-08-01 → 18-07-31
Project: Research project
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Intelligent docking control of autonomous underwater vehicles using deep reinforcement learning and a digital twin system
Lin, Y. H., Chiang, C. H., Yu, C. M. & Huang, J. Y. T., 2026 Jan 15, In: Expert Systems With Applications. 296, 129085.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Citations (Scopus) -
Hydrodynamic performance of a highly-skewed propeller in ventilated flow conditions near the free surface
Hasan, A. D. & Lin, Y. H., 2025 Jan 1, In: Physics of Fluids. 37, 1, 017133.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Citations (Scopus) -
Simultaneous Depth and Heading Control for Autonomous Underwater Vehicle Docking Maneuvers Using Deep Reinforcement Learning within a Digital Twin System
Lin, Y. H., Chuang, P. C. & Huang, J. Y. T., 2025, In: Computers, Materials and Continua. 84, 3, p. 4907-4948 42 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
The docking control system of an autonomous underwater vehicle combining intelligent object recognition and deep reinforcement learning
Yu, C. M. & Lin, Y. H., 2025 Jan, In: Engineering Applications of Artificial Intelligence. 139, 109565.Research output: Contribution to journal › Article › peer-review
12 Link opens in a new tab Citations (Scopus) -
The hydrodynamic analysis of the fully appended DARPA SUBOFF model in the SPMM tests integrating the LES model with the dynamic mesh method
Lin, Y. H., Lee, M. C. & Hasan, A. D., 2024, In: Journal of Mechanics. 40, p. 732-758 27 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Link opens in a new tab Citations (Scopus)