2014.09–2021.09，上海交通大学，机械制造自动化，博士
2019.09–2020.09，英属哥伦比亚大学，机械制造自动化，联合培养博士
2010.09–2014.06，南京理工大学，机械电子工程 学士

2024.03–至今，上海交通大学，新利体育 元知机器人研究院，长聘教轨助理教授，博导
2021.09–2024.02，上海交通大学，新利体育，博士后

机电装备动力学建模与虚拟仿真技术
智能感知部件的设计、诊断与优化
数控装备与复杂曲面数控加工技术

实验室正招收学生，24年、25年研究生名额开放申请中，欢迎感兴趣的同学咨询！

2024.05-2027.12，上海交通大学科研启动项目，智能感知部件的设计、优化与应用，负责人
2024.01-2025.12，机械系统与振动全国重点实验室自主课题，大型高速高精五轴龙门机床多体动力学建模与动态精度仿真研究，负责人
2023.01-2025.12，国家自然基金委青年科学基金，大型薄壁件镜像铣削的瞬时动力学特性调控机制与自适应抑振方法，负责人
2022.07-2024.07，中国博士后科学基金面上基金，航空航天大型薄壁件镜像铣削工艺系统的动力学特性演化机制，负责人
2021.01-2023.12，数字制造装备与技术国家重点实验室开放基金，弱刚性薄壁件镜像铣削的水射流支撑抑振研究，负责人
2022.01-2025.12，国家自然科学基金联合基金重点支持项目，运载火箭整体箱底极端弱刚性曲面高适配镜像铣削基础研究，参与
2022.01-2024.12，国防基础科研计划，×××五轴机床空间精度自动检测与控制，参与
2017.04-2019.12，国家04科技重大专项，用于航空航天大型曲面薄壁件加工的蒙皮镜像铣床研究与应用，参与

Representative Publications:
[1] Ji Y, Yu Y, Bi Q, Zhao H. Calibration rod selection strategy in RCSA-based method for reliable calculation of milling tool-tip FRFs in rotating conditions[J]. International Journal of Machine Tools and Manufacture, 2023, 187: 104016. (SCI, IF = 14)
[2] Ji Y, Dong H, Yu L, Ren F, Bi Q, Wang Y. Determining Rotating Tool-Tip FRFs by Measuring Holder-Point FRFs based on a Robust Frequency-based Substructure Method [J]. Mechanical Systems and Signal Processing, 2022, 164(1):108228. (SCI, IF = 8.4)
[3] Ji Y, Chen Y, Zhang S, Bi Q, Wang Y. Multi-point substructure coupling method to compensate multi-accelerometer masses in measuring rotation-related FRFs[J]. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2022, 144(1): 011009. (SCI, IF = 4)
[4] Ji Y, Bi Q, Yu L, Ren F, Wang Y. A robust RCSA-based method for the in situ measurement of rotating tool-tip frequency response functions[J]. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2020, 142(8): 081004. (SCI, IF = 4)
[5] Ji Y, Bi Q, Zhang S, Wang Y. A new receptance coupling substructure analysis methodology to predict tool tip dynamics[J]. International Journal of Machine Tools and Manufacture, 2018, 126: 18-26. (SCI, IF = 14)

Other Publications:
[6] Yu Y, Ji Y, Chen Y, Xu K, Bi Q. A novel domain decomposition-based model for efficient dynamic predictions of large composite machine tools. Science China Technological Sciences, 2024.
[7] Huang J, Fan Y, Ji Y, Huang N, Zhang Y, Wang Y. On-line posture measurement for automatic positioning of foldable-wing with priority-based multi-constraints[J]. Precision Engineering, 2024, 87: 43-56.
[8] Xu K, Zhuang Z, Ji Y, Xu J, Yu Y, Bi Q. An efficient method for measuring and identifying geometric and dynamic errors in dual five-axis machine tools[J]. Precision Engineering, 2024, 86: 359-375.
[9] Zhuang Z, Xu K, Zhang S, Bi Q, Ji Y. Sensitivity analysis of inverse multilateration based on tracking interferometer measurement for a bi-rotary head five-axis machine tool[J]. Measurement, 2023, 222: 113603.
[10] Xu K, Tang X, Bi Q, Yu Y, Qian D, Ji Y. Dynamic synchronous motion accuracy measurement and estimation for a five-axis mirror milling system[J]. Science China Technological Sciences, 2023, 66(3): 689-705.
[11] Hu Y, Wang Y, Zhao S, Ji Y. Effect of tool–workpiece interface temperature control on the weld quality of a bobbin-tool friction-stir-welded aluminum alloy[J]. The International Journal of Advanced Manufacturing Technology, 2023, 123: 4379-4396.
[12] Zhang S, Ji Y, Huang N, Mou W, Bi Q, Wang Y. Integrated profile and thickness error compensation for curved part based on on-machine measurement[J]. Robotics and Computer-Integrated Manufacturing, 2023, 79: 102398.
[13] Tang X, Xu K, Bi Q, Song Z, Ji Y, Qian D. Improved closed-loop tracking interferometer measurement for a five-axis machine tool with a bi-rotary milling head[J]. Science China Technological Sciences, 2022, 65(5): 1127-1136.
[14] Dong H, Ji Y, Wang X, Bi Q. Stability analysis of thin-walled parts end milling considering cutting depth regeneration effect[J]. The International Journal of Advanced Manufacturing Technology, 2021, 113: 3319-3328.
[15] Zhang S, Bi Q, Ji Y, Wang Y. Real-time thickness compensation in mirror milling based on modified Smith predictor and disturbance observer[J]. International Journal of Machine Tools and Manufacture, 2019, 144: 103427.
[16] Yu L, Bi Q, Ji Y, Fan Y, Huang N, Wang Y. Vision based in-process inspection for countersink in automated drilling and riveting[J]. Precision Engineering, 2019, 58: 35-46.

2023年，上海交通大学科研成果二等奖
2023年，中国航空工业集团科技进步二等奖
2022年，上海市技术发明特等奖
2022年，上海交通大学博士后考核优秀
2022年，上海市“超级博士后”激励计划
2019年，国家留学基金委奖学金
2015年，上海交通大学，研究生国家奖学金（硕士）