Ludong university - China
Author Profile
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Summary
Jie Liu is a dedicated lecturer at Ludong University, holding a PhD in Ship and Ocean Structure Design and Manufacturing from Shanghai Maritime University. Her research focuses on ship hydrodynamic performance analysis and the multi-objective optimization of ship types, integrating artificial intelligence with engineering applications. She has contributed to numerous funded projects, authored over 10 academic papers, and serves as a reviewer for scholarly journals. Her expertise in parametric modeling, numerical prediction, and optimization connects her work to related fields such as power electronics, particularly in areas involving smart systems and computational efficiency.
Early academic pursuits
Jie Liu began her academic journey with a deep-rooted interest in engineering disciplines, eventually leading her to pursue a PhD in Ship and Ocean Structure Design and Manufacturing from Shanghai Maritime University. During her doctoral studies, she developed a strong foundation in computational modeling, structural analysis, and optimization—skills that would later define her research niche. Her early training provided the Underwater Autonomous Vehicles critical thinking and technical proficiency necessary for interdisciplinary research, including in related engineering areas such as power electronics, where system-level optimization principles overlap with her ship design methodologies.
Professional endeavors
Currently, Jie Liu serves as a lecturer at the Ulsan College of Ship and Ocean Engineering, Ludong University. In this role, she not only contributes to academic teaching but is actively involved in guiding research on naval architecture and marine systems engineering. Her role includes supervising student projects, curriculum development, and collaborative efforts with research teams on national and Underwater Autonomous Vehicles provincial-funded projects. Her engagement with interdisciplinary technologies, including the application of AI in ship design and optimization, shows strong synergy with smart systems design principles similar to those in power electronics.
Contributions and research focus
Jie Liu's research primarily revolves around ship hydrodynamic performance analysis and multi-objective optimization design. She focuses on integrating artificial intelligence techniques with traditional engineering processes to optimize ship structures and hydrodynamic efficiency. Her work involves parametric modeling, numerical prediction, and optimization decision analysis, Underwater Autonomous Vehicles applying cutting-edge algorithms to real-world marine engineering problems. This blend of AI and computational design echoes modern trends in power electronics, where adaptive modeling and control are essential for system efficiency.
Impact and influence
Over the years, Jie Liu has established herself as a promising researcher by publishing more than 10 academic papers in reputable journals. Her technical proficiency and interdisciplinary approach have enabled her to collaborate on several national and institutional research projects, contributing significant insights into intelligent ship design and performance prediction. She also actively serves as a peer reviewer, Underwater Autonomous Vehicles supporting the academic community by upholding research quality and sharing expertise.
Academic cites
Her academic publications have attracted attention for their innovative application of AI in marine engineering, with citations reflecting the growing relevance of her work. Although her citation metrics are evolving, her contribution to optimization techniques and modeling frameworks has made a noticeable impact within marine engineering circles and related domains like power electronics, Underwater Autonomous Vehicles where similar computational approaches are valued.
Legacy and future contributions
Jie Liu's legacy lies in her commitment to blending traditional engineering disciplines with modern computational tools. Looking forward, she aims to deepen her research into AI-integrated ship design, contribute to greener and more efficient maritime technologies, and mentor the next generation of engineers. Her evolving research agenda, which mirrors advancements in intelligent systems and digital twin technologies, Underwater Autonomous Vehicles may also influence broader fields such as power electronics and smart energy systems, where modeling, optimization, and AI integration are also critical.
Notable Publications
- Title: 3-DOF motion response analysis of damaged ships in quartering waves
Authors: Lifen Hu, Zhiming Yuan, Jie Liu, Yanli Guo, Weiqi Liu, Momchil Terziev
Journal: Applied Ocean Research
Publication Date: August 2025
- Title: Minimum resistance hull optimization research based on simulation-based design optimization method
Authors: Jie Liu, Bao-ji Zhang, Shu-hui Guo, Zheng Tian, Li-fen Hu, Ying-kai Dong
Journal: Structural and Multidisciplinary Optimization
Publication Date: July 2025
- Title: Multi‐Objective Optimization and Experimental Research of Ship Form Based on Improved Bare‐Bones Multi‐Objective Particle Swarm Optimization Algorithm
Authors: Jie Liu, Baoji Zhang, Yuyang Lai, Liqiao Fang
Journal: International Journal for Numerical Methods in Fluids
Publication Date: March 2025
- Title: Research on the construction of multi objective coupling model and optimization method of ship form
Authors: Jie Liu, Baoji Zhang, Yuyang Lai, Liqiao Fang
Journal: International Journal for Numerical Methods in Fluids
Publication Date: October 2024
- Title: Hull form optimization research based on multi‐precision back‐propagation neural network approximation model
Authors: Jie Liu, Baoji Zhang, Yuyang Lai, Liqiao Fang
Journal: International Journal for Numerical Methods in Fluids
Publication Date: August 2024
Conclusion
Jie Liu exemplifies the new generation of engineers who merge traditional maritime engineering with cutting-edge computational techniques. Her contributions in optimizing ship performance through AI not only advance marine technology but also align with broader engineering challenges found in domains like power electronics. With a growing academic presence and commitment to interdisciplinary innovation, her future work is poised to make lasting impacts across multiple high-tech engineering sectors.