联系方式
电子邮箱:tqgu2014@fzu.edu.cn/gutianqi2011@126.com
通讯地址:福建省福州市福州大学城乌龙江北大道2号
教育工作经历
2019/07—至今,福州大学,机械工程及自动化学院,副教授、校聘教授
2016/09—2018/09,英国哈德斯菲尔德大学,精密技术中心,博士后
2014/12—2019/06,福州大学,机械工程及自动化学院,讲师
2011/09—2014/12,吉林大学,机械与航空航天工程学院,博士
2004/09—2011/05,长春理工大学,机电工程学院,本硕
社会兼职
1.中国仪器仪表学会集成电路测量仪器分会委员
2.中国仪器仪表学会精密机械青委会委员
3.中国机械工程学会半导体装备分会委员
4.中国先进光学制造青委会委员
5.中机生产工程分会测试技术委员会委员
6.全国高校互换性与测量技术基础研究会理事
7.产品几何技术规范国家标准起草专家
8.国际电气与电子工程师协会会员
9.期刊审稿人:
Mechanical Systems and Signal Processing, Knowledge-Based Systems, Applied Mathematical Modelling, IEEE Transactions on Instrumentation and Measurement, Measurement, Optics Express, Optics and Laser Technology, etc.
研究领域
1.新型光学器件设计及应用
2.误差理论与表面计量
3.精密测试技术及仪器研发
主要科研项目
1.揭榜挂帅科技计划项目,电容式真空计金属膜片应力分析及曲面挠度测量装置研发,2024,主持.
2.企业委托课题,嵌入式智能光学检测系统研发,2024,主持.
3.推进海洋经济高质量发展揭榜挂帅项目,基于大数据驱动的智慧海洋养殖系统关键技术与装备研发及产业化,2024,参与.
4.省科技经济融合服务平台,福建省智能机器人科技经济融合服务平台,2024,参与.
5.省科技计划引导性项目,五轴联动高精度中走丝数控系统的关键技术研究及应用,2024,参与.
6.天津大学-福州大学自主创新基金合作项目,微透镜阵列表面几何精度评定理论与关键技术,2023,主持.
7.企业委托课题,复杂表面形貌参数评定软件开发,2022,主持.
8.省自然科学基金面上项目,基于电子离子耦合作用的石墨烯薄膜器件光电响应及其调控特性研究,2022,参与.
9.省自然科学基金面上项目,非球面微透镜阵列元件表面形貌参数评定,2021,主持.
10.企业委托课题,新型光学元件优化设计与性能分析,2020,主持.
11.省自然科学基金面上项目,基于压缩感知的AFM图像重构技术研究,2019,参与.
12.国家自然科学基金青年项目,EIV模型条件下自由曲面数字化评价方法研究,2017,主持.
13.省教育厅青年项目,基于误差理论的自由曲面面形精度评价方法,2015,主持.
14.福州大学引进人才科研启动项目,EIV模型条件下自由曲面数据配准方法研究,2015,主持.
15.国家高技术研究发展计划项目(863),整体叶盘智能精密制造关键技术研究,2012,主研.
16.国家重点基础研究发展计划课题(973),光学自由曲面成形过程的物理解析与精度控制,2011,主研.
研究成果
代表性论著
[1] Tianqi Gu, Yihao Zhang, et al. High-performance achromatic metalens in the long-wavelength infrared regime. Physics Letters A, 2025, 542: 130430.
[2] Tianqi Gu, Yihao Zhang, et al. An all-dielectric achromatic metalens with high performance in the long-wavelength infrared regime. Optics Communications, 2025, 582: 131664.
[3] Tianqi Gu, Jun Wang,et al. A novel reconstruction method with robustness for polluted measurement dataset. Advanced Engineering Informatics, 2024, 62: 102834.
[4] Tianqi Gu, Cheng Kang, et al. A robust reconstruction method based on local Bayesian estimation combined with CURE clustering. Information Sciences, 2024, 680: 121132.
[5] Tianqi Gu, Jun Wang, et al. Reconstruction of measurement data with multiple outliers using novel domain-based RBF. Mechanical Systems and Signal Processing, 2024, 214: 111385.
[6] Tianqi Gu, Ziming Guo, et al. Design and optimization of dielectric metalens with quasi-periodic arrays. Optical Materials, 2024, 148: 114944.
[7] Bing Fang, Weibin Huang, et al. Quantitative characterization of surface topography using an improved deterministic method. Tribology Letters, 2024, 72:131.
[8] Tianqi Gu, Hangbin Cai, et al. The optimization method with segmenting iteration strategy for a long-wavelength infrared metalens. Optics Communications, 2023, 546: 129839.
[9] Dawei Tang, Jian Wang, et al. Single-shot dispersive interferometry for inline surface inspection. Optical Metrology and Inspection for Industrial Applications X. SPIE, 2023, 12769: 139-145.
[10] Tianqi Gu, Zude Luo, et al. A new reconstruction method for measurement data with multiple outliers. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-9.
[11] Tianqi Gu, Xiang Gao, et al. Micro-dimensional oscillation-based optimization for a dielectric metalens in the mid-infrared. Applied Optics, 2022, 61(32): 9324-9333.
[12] Tianqi Gu, Cui Xiong, et al. Profile analysis with reconstruction robustness for measurement data subject to outliers. Applied Optics, 2022, 61(13): 3777-3785.
[13] Tianqi Gu, Zude Luo, et al. Surface reconstruction method for measurement data with outlier detection by using improved RANSAC and correction parameter. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2022, 236(12): 09544054221081330.
[14] Tianqi Gu, Hongxin Lin, et al. Robust moving total least squares: A technique for the reconstruction of measurement data in the presence of multiple outliers. Mechanical Systems and Signal Processing, 2022, 167: 108542.
[15] Bing Fang, Mengna Cheng, et al. An improved thermal performance modeling for high-speed spindle of machine tool based on thermal contact resistance analysis. The International Journal of Advanced Manufacturing Technology, 2022: 1-10.
[16] Tianqi Gu, Hongxin Lin, et al. Robust curve and surface reconstruction method based on clustering algorithm. Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing. SPIE, 2022, 12166: 481-486.
[17] Tianqi Gu, Chenjie Hu, et al. Geometry-based reconstruction method for profile analysis of measurement data. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1003909.
[18] Tianqi Gu, Hongxin Lin, et al. Curve and surface reconstruction based MTLS algorithm combined with k-means clustering. Measurement, 2021, 182: 109737.
[19] Tianqi Gu, Chenjie Hu, et al. Anα-Moving Total Least Squares Fitting Method for Measurement data. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2021, 235(1-2): 65-72.
[20] Jianxiong Chen, Shuwen Lin, et al. Geometric error identification for machine tools using a novel 1D probe system. International Journal of Advanced Manufacturing Technology, 2021, 114: 3475-3487.
[21]顾天奇,胡晨捷,等.基于移动最小二乘法的稳健重构方法研究.吉林大学学报(工学版),2021, 51(2): 685-691.
[22]顾天奇,罗祖德,等.测量数据的曲线曲面拟合算法研究.东北大学学报(自然科学版),2021, 42(3): 408-413.
[23] Tianqi Gu, Yi Tu, et al. A robust moving total least squares fitting method for measurement data. IEEE Transactions on Instrumentation and Measurement, 2020, 69(10): 7566-7573.
[24] Tianqi Gu, Chenjie Hu, et al. A Novel Reconstruction Method for Measurement Data Based on MTLS Algorithm. Sensors, 2020, 20(22): 6449.
[25] Tianqi Gu, Yi Tu, et al. A trimmed moving total least squares for curve and surface fitting. Measurement Science and Technology, 2020, 31(4): 045003.
[26] Bing Fang, Junfeng Ye, et al.An improved Static Stiffness Analysis Model for Machine Tools Based on Virtual Material Method. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020, 42: 1-9.
[27] Qian Wang, Tianqi Gu, et al.Indirect repulsion between actin binding proteins induces the local pattern formation of protein clusters. Extreme Mechanics Letters, 2020, 38: 100740.
[28] Cong jing, Bing Fang, et al. The mechanobiology of actin cytoskeletal proteins during the cell-cell fusion. Journal of the Royal Society Interface, 2019, 16(156): 20190022.
[29] Wansong Zhou, Lei Zhang, et al. Investigation into material removal influenced by edge effect in polishing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2017, 231(8): 1409-1422.
[30] Tianqi Gu, Shijun Ji, et al. Curve and surface reconstruction method for measurement data. Measurement, 2016, 78: 278-282.
[31] Tianqi Gu, Shuwen Lin, et al. An improved total least square calibration method for straightness error of coordinate measuring machine. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2016, 230: 1665-1672.
[32] Bing Fang, Tianqi Gu, et al. An improved thermo-mechanical model for vertical machining center. International Journal of Advanced Manufacturing Technology, 2016, 87(9-12): 2581-92.
[33] Jianxiong Chen, Shuwen Lin, et al. A ballbar test for measurement and identification the comprehensive error of tilt table. International Journal of Machine Tools & Manufacture, 2016, 103: 1-12.
[34]顾天奇,张雷,等.封闭离散点的曲线拟合方法.吉林大学学报(工学版),2015,45(2): 437-441.
[35]樊成,赵继,等.移动抛光自由曲面材料去除的理论建模与试验研究.机械工程学报,2014, 50: 173-181.
[36] Lei Zhang, Tianqi Gu, et al. An adaptive moving total least squares method for curve fitting. Measurement, 2014, 49: 107-112.
[37] Lei Zhang, Tianqi Gu, et al. An improved moving least squares method for curve and surface fitting. Mathematical Problems in Engineering, doi: 10.1155/2013/159694.
发明专利及软件著作权
[1] 基于微尺寸结构优化的多子镜阵列成像元件设计方法, ZL202111571384.9.(发明专利)
[2] 一种基于遗传算法优化的准周期超透镜, ZL202110879350.X.(发明专利)
[3]一种虚拟颅脑辅助认知系统及方法, ZL202010863612.9.(发明专利)
[4]基于Fluent UDF的焊接熔滴数据自动检测储存方法, CN202110234231.9.(发明专利)
[5] 基于改进的哈里斯鹰算法的非球面粗精配准方法, 2023SR0268311.(软件著作权)
[6] 一种用于测量数据的曲线曲面重构软件, 2020SR0052504.(软件著作权)
其他情况
1.福建省优秀硕士学位论文指导教师
2.福州大学优秀硕士学位论文指导教师
3.福州大学优秀硕士毕业生指导教师
4.吉林大学优秀博士学位论文