刘晓军，工学博士，教授，博导。江苏省高档数控机床及成套装备创新中心副主任、数字孪生国际期刊Digital Twin国际咨询委员、中国图学学会数字孪生专业委员会副主任委员，中国机械工程学会机械工业自动化分会委员。刘晓军长期从事数字化设计与制造、数字孪生驱动的智能制造、自主化工业软件研发等研究工作。他曾入选江苏省“青蓝工程”、“六大高峰”人才计划，江苏省“双创博士”资助计划，东南大学优秀青年教师资助计划。先后获得江苏省科技进步二等奖2项，机械工业联合会二等奖1项。主持和参与国家重点研发计划课题、国家自然科学基金项目等项目10多项，主持企业研发项目10项。已发表学术论文50多篇，申请发明专利20多项。

2001年－2005年，南京农业大学，工学院机械工程系，本科/学士 

2005年－2006年，东南大学，机械工程学院，研究生/直博

2007年－2011年，东南大学，机械工程学院，研究生/博士

2011年－2014年，东南大学，机械工程学院，讲师  

2013年－2015年，东南大学，能源与动力学院，博士后  

2014年－2019年，东南大学，机械工程学院，副教授 

2019年－至今，  东南大学，机械工程学院，教授

程序设计与算法语言Ⅰ  

程序设计与算法语言Ⅱ

计算机综合课程设计  

现代集成制造系统

数字孪生国际期刊Digital Twin国际咨询委员

中国图学学会数字孪生专业委员会副主任委员

中国机械工程学会机械工业自动化分会委员

2021年度江苏省科学技术奖  船舶动力装备全系化工艺设计关键技术及应用

2015年度江苏省科学技术奖  液化天然气深冷成套装备关键技术及其产业化  

中国机械工业科学技术奖   液化天然气橇装式成套装备关键技术及其应用

[1]Xiaojun Liu, Jialu Xing, Yalong Cheng, Zhonghua Ni. An inspecting method of 3D dimensioning completeness based on the recognition of RBs. Journal of Manufacturing Systems, 2017,42:271-288

[2]Xiaojun Liu , Xiang Li, Jialu Xing, Huayu Chen, Zhonghua Ni. Integrating Modelling Mechanism for Three Dimensional Casting Process Model based on MBD. The International Journal of Advanced Manufacturing Technology, 2018, 94(9-12): 3145-3462

[3]Xiaojun Liu, Zhonghua Ni, Jinfeng Liu, Yalong Cheng. Assembly process modeling mechanism based on the product hierarchy, The International Journal of Advanced Manufacturing Technology, 2016,82()1-4):391-405 (WOS：000368080400031)

[4]Liu X, Tang L, Yi Y, et al. Intelligent design based on holographic model using parametric design method[J]. Journal of Ambient Intelligence & Humanized Computing, 2018(3):1-15.

[5]Xiaojun Liu, Zhonghua Ni, Xiaoli Qiu. Application of ant colony optimization algorithm in integrated process planning and scheduling. The International Journal of Advanced Manufacturing Technology, 2016,84(1):393-404.  (WOS: 000374403900031)

[6] Xiaojun Liu, Yi Hong, Ni Zhonghua, Qi Jianchang, Qiu Xiaoli. Process planning optimization of Hole-making operations using ant colony algorithm. The International Journal of Advanced Manufacturing Technology, 2013,69(1-4):753-769(SCI)

[7] Xiaojun Liu, Hong Yi, Zhonghua Ni, Application of ant colony optimization algorithm in process planning optimization. Journal of Intelligent Manufacturing, 24(1), 1-13, 2013.(SCI)

[8] Xiaojun Liu, Hong Yi, Zhonghua Ni, Xiaoli Qiu, Tingyu Liu.Recognizing 2.5D manufacturing feature using neural network. International Journal of Computer Application in Technology, 2010, 39(1-3): 19-26. (EI)

[9]Yalong Cheng,Zhonghua Ni,Tingyu Liu Xiaojun Liu.An intelligent approach for dimensioning completeness inspection in 3D based on transient geometric elements. Computer-Aided Design, 2014(53):14-27. (SCI)

[10]Jinfeng Liu, Xiaojun Liu, Yalong Cheng, Zhonghua Ni. An algorithm of mapping the protrusion feature on the slanting face to its manufacturing feature volume in the process planning, The International Journal of Advanced Manufacturing Technology, DOI 10.1007/s00170-015-6810-2. (SCI)

[12]Liu J, Liu X, Ni Z, et al. A new method of reusing the manufacturing information for the slightly changed 3D CAD model[J]. Journal of Intelligent Manufacturing, 2016:1-18.(SCI: 000368080400037)

[13]Liu Jinfeng, Liu Xiaojun, Cheng Yalong, Ni Zhonghua. An approach to mapping machining feature to manufacturing feature volume based on geometric reasoning for process planning. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [J] 2015:1-13. ( SCI )

[14]Liu J, Zhou H, Xiaojun L, et al. A flexible process information reuse method for similar machining feature[J]. The International Journal of Advanced Manufacturing Technology, 2016：1-13.

[15][4] Jinfeng Liu, Honggen Zhou, Guizhong Tian, Xiaojun Liu, Xuwen Jing. Digital twin-based process reuse and evaluation approach for smart process planning[J]. The International Journal of Advanced Manufacturing Technology, 2019, 100(5-8):1619-1634. ( WOS:000458000100046)

[16]Jinfeng Liu, Honggen Zhou, Xiaojun Liu, Guizhong Tian, Mingfang Wu. Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin. IEEE Access, 2019(7).