霍冠英 - 北京航空航天大学

个人简介

霍冠英，北京航空航天大学人工智能研究院助理研究员，硕士生导师，加拿大卡尔加里大学访问学者。承担多项国家级课题，主持国家自然科学基金青年科学基金项目1项，作为项目骨干参与国家自然科学基金重大项目“基于流线场共轭映射的复杂曲面高精度数控加工新方法”（结题获“特优”评价）、科技部重点研发“变革性技术关键科学问题”专项及“激光制造与增材制造”专项。曾获全国大学生数学竞赛数学类一等奖，教育部博士研究生国家奖学金，北京市优秀毕业生等。目前研究方向为智能制造领域CAD、CAM核心算法以及数据驱动的加工过程建模与分析等基础理论与工程应用。当前在国际一流期刊共发表论文10余篇，授权国家发明专利8项，注册软件著作权5项。

研究领域

目前研究方向为智能制造领域CAD、CAM核心算法以及数据驱动的加工过程建模与分析等基础理论与工程应用

近期论文

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Scattered Points Interpolation with Globally Smooth B-Spline Surface using Iterative Knot Insertion:Computer-Aided Design,2022,148 A novel feedrate scheduling method based on Sigmoid function with chord error and kinematic constraints:The International Journal of Advanced Manufacturing Technology A novel adaptive slicing algorithm based on ameliorative area ratio and accurate cusp height for 3D printing.[期刊]:Rapid Prototyping Journal A sequential sampling method for adaptive metamodeling using data with highly nonlinear relation between input and output parameters.[期刊]:Engineering Computations,2020,37(3) Initial tool path selection of the iso-scallop method based on offset similarity analysis for global preferred feed directions matching:The International Journal of Advanced Manufacturing Technology,2020,106(7-8):2675-2687 Accurate model construction of deformed aero-engine blades for remanufacturing:The International Journal of Advanced Manufacturing Technology,2020,106(7-8):3239-3251 A physical process driven digital terrain model generating method based on D-NUBRS:IEEE Access,2019,8:3115-3122 A fast T-spline fitting method based on efficient region segmentation:Computational and Applied Mathematics,2019,39(2):55 CNC tool path generation for freeform surface machining based on preferred feed direction field.[期刊]:International Journal of Precision Engineering and Manufacturing,2018,20(5):777-790 Explosive synchronization of combinational phases on random multiplex networks:International Journal for Uncertainty Quantification,2016,6(2):99-108 Epidemic spreading with activity-Driven awareness diffusion on multiplex network.[期刊]:Chaos: An Interdisciplinary Journal of Nonlinear Science,2016,26(4):043110