个人简介 | 一、工作经历 2024.01 – 至今, 宁波大学, 博彩导航
, 副教授（硕导） 2019.08 – 2023.12, 宁波大学, 博彩导航
, 讲师（硕导） 二、教育经历 2014.08 – 2018.12, 佛罗里达理工学院, 机械工程专业, 博士 2012.08 – 2014.05, 佛罗里达理工学院, 海洋专业, 硕士 2007.09 – 2011.06, 大连海洋大学, 船舶与海洋工程专业, 本科 三、个人简介 嗨~！我是杜林，隶属船舶实验技术与智能设计团队（负责人李广年教授）。研究包括基于计算机视觉技术的船型设计方法，采用人工智能方法的船型优化设计理论，互联网前端技术的船舶CAD工具设计与开发，低带宽通讯条件下的无人船超视距驾驶系统设计等。 如果你喜欢硬件，这里有无人船，有FPV，有湖有山有海，你可以用树莓派、ROS、自动驾驶，一个人就是一支舰队；如果你擅长算法，这里有生成式AI和新一代船舶CAD设计理论（pytorch），免安装的网页端船舶轻量化设计工具（javascript），能让建模器和求解器全自动寻优的python宏脚本；如果你擅长游戏和手办，这里有threejs的船舶航行模拟游戏，3D打印机；如果你英语好，这里有国际顶尖教授的讲座。这里的科研不一定很高深，但一定会很有趣。 Scientists study the world as it is, engineers create the world that never has been. ——Theodore Von Karman |
代表性论文和专著 | 一、代表性论文： [1] Du L.Wu Q.Shu Y.et al. The effects of online-training artificial neural network mechanism and multi-stage parametric modeling method on simulation-based design system for ship optimization [J].Ocean Engineering,2024,309,DOI:10.1016/j.oceaneng.2024. 118284. [2] 杜林,李胜忠,李广年,舒跃辉,刘子祥,赵峰.基于深度卷积生成式对抗网络的船型特征认知与条件生成方法[J].船舶力学,2024,v.28; No.250(0 8):1162-1174 [3] 杜林,李广年,郑彭军.船体曲面特征的计算机视觉认知与生成机制研究[J].船舶力学,2022,26(7):949-961 [4] Xu X, Du L, Zhang Z, Gu J, Xing Y, Gaidai O and Dou P (2022) A case study of offshore wind turbine positioning optimization methodology using a novel multi-stage approach. Front. Mar. Sci. 9:1028732. doi: 10.3389/fmars.2022.1028732 [5] Du, Lin; Sahoo K. Prasanta; Hefazi Hamid, Application of Michell’s Integral to High-Speed Round-Bilge Hull Forms, Journal of Ship Production and Design, 2020, 36(3): 189-201（13）. [6] Du, Lin; Pinto, Gabriel Oliveira; Hefazi, Hamid; Sahoo, Prasanta, Trimaran Structural Weight Optimization Based on Classification Rules, Journal of Ship Production and Design, Volume 35, Issue 1, February 2019, pp.31-40(10) [7] Du, Lin; Hefazi, Hamid; Sahoo, Prasanta, Multidisciplinary Design Optimization of Life Cycle Benefit of Trimarans Using Monte Carlo Method, Naval Engineers Journal, Volume 131, Issue 3, September 2019, pp. 79-90(12) [8] Du, Lin；Hefazi, Hamid; Sahoo, Prasanta, Rapid resistance estimation method of non-Wigley trimarans, Ships and Offshore Structures, Volume 14, Issue 8, March 2019, pp 910-920 (11) [9] Du, Lin, Li, Guangnian, Zheng, Pengjun, Shu, Yuehui, and Torgeir Moan. "Ship Hull Offset Feature Recognition Functionality Exploration Based on Convolutional Neural Networks." Paper presented at the The 32nd International Ocean and Polar Engineering Conference, Shanghai, China, June 2022. [10] Du, Lin; Hefazi, Hamid; Sahoo, Prasanta, A Fast Resistance Estimation Method for Wigley Multi-Hull Vessels, Proceedings of PRADS2016 4th – 8th September 2016, Copenhagen, Denmark. |
