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1、2010-09 至 2017-06, 兰州大学, 材料物理与化学, 博士（硕博连读）
2、2006-09 至 2010-06, 青海大学, 材料成型及控制工程, 学士
1、酿酒粮食的高光谱无损检测方法与系统研发(2023YFS0451), 四川省科技厅重点研发项目，主持；
2、基于深度学习的酿酒粮食高光谱图像快速检测, 固态发酵智能酿造技术安徽省重点实验室开放课题，主持;
3、基于多源数据融合的智能曲房调控系统研发(NJ2022-04), 酿酒技术及应用四川省重点实验室项目，主持;
4、石墨烯增强形状记忆复合纤维的制备及性能研究, 甘肃省级重点人才项目，主持；
5、层状仿生石墨烯/聚乙烯醇形状记忆复合纤维的制备及增强机制研究（2020M683704 XB），中国博士后科学基金面上项目，主持；
6、优化陶坛孔结构及成分促进酒体老熟的研究(CXY2019ZR003)，五粮液集团公司-四川轻化工大学合作项目，主持；
7、陶缸原料及制陶工艺对原酒陈酿的影响研究(HX202022)，劲牌有限公司-四川轻化工大学合作项目，主持；
8、大片氧化石墨烯/环氧树脂层状复合涂层的制备及其防腐性能研究(2018CL04)，腐蚀防护四川省重点实验室开放课题，主持；
9、石墨烯增强类贝壳珍珠层铜基复合材料的制备及性能研究(GK201712)，过程装备与控制工程四川省高校重点实验室开放课题，主持；
10、Cu基材料复合二维MOF衍生物的制备与电催化性能研究(202012)，湖北省新型反应器与绿色化学工艺重点实验室开放基金，主持；
11、石墨烯增强铜基复合材料的制备及性能研究(2017RCL65)，四川轻化工大学人才引进项目，主持。
代表性论著：
[1] Jiahong Zhang, Yu Lei, Lin He, Xinjun Hu, Jianping Tian, et al. The rapid detection of the tannin content of grains based on hyperspectral imaging technology and chemometrics[J]. Journal of Food Composition and Analysis, 2023, 123: 105604.（SCI二区）
[2] Haoping Huang, Xue Fei, Xinjun Hu, Jianping Tian, Jie Ju, et al. Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum[J]. Journal of Food Composition and Analysis, 2023, 115: 105018. （SCI二区）
[3] Xinjun Hu, Nan Ren, Yiqi Wu, Lijun Jin, Songbo Chen, Yongxiao Bai. Fabrication of high strength and functional GO/PVA/PAN ternary composite fibers by gel spinning[J]. Journal of Polymer Engineering, 2023, 43: 135-143.（SCI二区）
[4] Youhua Bu, Xinna Jiang, Jianping Tian, Xinjun Hu, Lipeng Han, et al. Rapid nondestructive detecting of sorghum varieties based on hyperspectral imaging and convolutional neural network[J]. Journal of the Science of Food and Agriculture, 2023, 103: 3970-3983. （SCI二区）
[5] Ting Sun, Xinjun Hu, Jianping Tian, Qiang Gu, Danping Huang, et al. Combination of Spectral and Spatial Information of Hyperspectral Imaging for the Prediction of the Moisture Content and Visualizing Distribution in Daqu[J]. Journal of the American Society of Brewing Chemists, 2022: 1-9. （SCI四区）
[6] Yu Lei, Xinjun Hu, Jianping Tian, Jiahong Zhang, Songcai Yan, et al. Rapid resolution of types and proportions of broken grains using hyperspectral imaging and optimization algorithm[J]. Journal of Cereal Science, 2022, 108: 103565. （SCI二区）
[7] Xinna Jiang, Jianping Tian, Haoping Huang, Xinjun Hu, Lipeng Han, et al. Nondestructive visualization and quantification of total acid and reducing sugar contents in fermented grains by combining spectral and color data through hyperspectral imaging[J]. Food Chemistry, 2022, 386: 132779. （SCI一区）
[8] Haoping Huang, Xinjun Hu, Jianping Tian, Xinghui Peng, Huibo Luo, et al. Rapid and nondestructive determination of sorghum purity combined with deep forest and near-infrared hyperspectral imaging[J]. Food Chemistry, 2022, 377: 131981. （SCI一区）
[9] Xinjun Hu, Songbo Chen, Manjiao Chen, Jianping Tian, Jianzhi Wang, et al. Facile Synthesis of Nitrogen/Sulfur Co-doped Three-Dimensional Holey Graphene Hydrogels for High Supercapacitive Performance[J]. Energy & Fuels, 2022, 36: 6468-6475. （SCI三区）
[10] Youhua Bu, Xinna Jiang, Jianping Tian, Xinjun Hu, Xue Fei, et al. Rapid and accurate detection of starch content in mixed sorghum by hyperspectral imaging combined with data fusion technology[J]. Journal of Food Process Engineering, 2022, 45: e14129. （SCI三区）
[11] Zhizhen Bai, Jianping Tian, Xinjun Hu, Ting Sun, Huibo Luo, Dan Huang. A back-propagation neural network model using hyperspectral imaging applied to variety nondestructive detection of cereal[J]. Journal of Food Process Engineering, 2022, 45: e13973. （SCI三区）
[12] Xinna Jiang, Xinjun Hu, Haoping Huang, Jianping Tian, Youhua Bu, et al. Detecting total acid content quickly and accurately by combining hyperspectral imaging and an optimized algorithm method[J]. Journal of Food Process Engineering, 2021, 44: e13844. （SCI三区）
[13] Haoping Huang, Xinjun Hu, Jianping Tian, Xinna Jiang, Ting Sun, et al. Rapid and nondestructive prediction of amylose and amylopectin contents in sorghum based on hyperspectral imaging[J]. Food Chemistry, 2021, 359: 129954. （SCI一区）
[14] Haoping Huang, Xinjun Hu, Jianping Tian, Xinna Jiang, Huibo Luo, Dan Huang. Rapid detection of the reducing sugar and amino acid nitrogen contents of Daqu based on hyperspectral imaging[J]. Journal of Food Composition and Analysis, 2021, 101: 103970. （SCI二区）
[15] Zhizhen Bai, Xinjun Hu, Jianping Tian, Ping Chen, Huibo Luo, Dan Huang. Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging[J]. Food Chemistry, 2020, 331: 127290. （SCI一区）
授权发明专利：
1、胡新军; 何林; 雷裕; 田建平; 陈满骄; 一种酿酒粮食中单宁含量的检测方法, 2023-11-23, CN202311571911.5；
2、胡新军; 蒋茂林; 安明哲; 谢正敏; 田建平; 马小燕; 陈满骄 ; 一种石墨烯复合陶坛及其制备方法,2023-3-21, CN202111247943.0；
3、胡新军; 胡勇; 马小燕; 一种多孔石墨烯的制备方法, 2021-11-19, CN201810902641.4；
4、拜永孝; 胡新军; 沙嫣; 沙晓林 ; 规模化制备大片石墨烯的方法, 2015-03-04, CN201410647957.5
5、拜永孝; 胡新军; 党锡江; 张桂兰 ; 一种细菌纤维素复合纤维及其制备方法, 2023-05-26, CN202111230541.X