基本信息

职务职称:教授、博导

电子邮件:guoxj159@ntu.edu.cn

部门:数学系

郭晓君,男,博士生导师,博士。1978年6月出生,江苏南通人。现任中国优选法统筹法与经济数学研究会灰色系统专业委员会理事。主要研究方向:灰色系统理论、不确定预测与决策。主持国家社会科学基金1项、教育部人文社会科学基金1项、全国统计科学研究项目1项、江苏省社会科学基金1项、中国博士后科学基金1项、江苏省博士后科研资助计划项目1项、南通市科技计划项目4项。在国内外发表学术论文30多篇,被SCI 检索20篇、EI 检索3篇、CSSCI 检索4篇,出版教材1部。

教育经历

南京师范大学,数学与应用数学,学士

南通大学,流行病与卫生统计学,硕士

南京航空航天大学,管理科学与工程,博士

科研与学术工作经历

2023.08-2024.08,De Monfort University,School of Computer Science and Informatics,访问学者

2017.06-2018.06,De Monfort University,School of Computer Science and Informatics,访问学者

2019.06-2024.03,南京航空航天大学,经济与管理学院,博士后

2015.07-2021.07,南通大学,理学院,副教授

2021.07-至今,南通大学,理学院/数学与统计学院,教授

研究领域

灰色系统理论

不确定预测与决策

学术与社会兼职

中国优选法统筹法与经济数学研究会灰色系统专业委员会理事

SCI源刊Grey Systems: Theory and Application编委

所授课程

医用高等数学

灰色系统理论

研究课题

国家社会科学基金一般项目,21BGL302,失能老人服务需求与照护资源的优化配置研究,2021/09-2025/08,在研,主持

教育部人文社会科学研究基金项目,18YJC630043,基于灰自忆与Bootstrap的突发公共卫生事件动因辨识及风险演化预警研究,2018/07-2021/12,结题,主持

全国统计科学研究项目,2020LY020,Bootstrap抽样下突发公共卫生事件灰自忆预测与风险演化预警研究,2020/10-2022/09,结题,主持

江苏省社会科学基金项目,20GLD013,江苏失能老人服务需求预测与医养资源优化配置研究,2020/10-2024/06,在研,主持

南通市科技计划项目,MS22022043,积极老龄观下养老资源供需缺口测算及优化配置研究,2022/07-2024/06,在研,主持

南通市科技计划项目,MS12019041,老龄社会背景下失能老人数量与结构及服务需求预测研究,2019/07-2021/06,结题,主持

南通市科技计划项目,MS12015013,南通高能耗行业中碳污染排放的成因辨识及风险预警系统研究,2015/10-2019/06,结题,主持

南通市科技计划项目,HS2013026,基于灰色动态模型群的南通市循环经济发展指标体系研究,2013/07-2014/12,结题,主持

教学与科研成果

Xiaojun Guo*, Jiaxin Li, Xinyao Zhu, Yingjie Yang, Jingliang Jin. Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China. BMC Geriatrics, 2023, 23: 568. SCI&SSCI

Xiaojun Guo*, Houxue Shen, Qinglan Wen, Sifeng Liu, Yingjie Yang, Hui Zhang. Research on layout model and construction planning of aged care institutions for disabled elders in China: based on Nanjing city data. BMC Geriatrics, 2023, 23: 237. SCI&SSCI

Jingliang Jin, Qinglan Wen, Liya Zhao, Chaoyang Zhou, Xiaojun Guo*. Measuring environmental performance of power dispatch influenced by low-carbon approaches. Renewable Energy, 2023, 209: 325-339. SCI

Jing Ye, Zhenzhen Ma, Pingping Xiong, Xiaojun Guo. An interval feature discrete grey-Markov model based on data distributions and applications. Applied Mathematical Modelling, 2023, 117: 802-819. SCI

Xiaojun Guo*, Rui Zhang, Houxue Shen, Yingjie Yang. An Optimized Damping Grey Population Prediction Model and Its Application on China’s Population Structure Analysis. Int. J. Environ. Res. Public Health, 2022, 19(20): 13478. SCI&SSCI

Xiaojun Guo*, Jiaxin Li, Sifeng Liu, Naiming Xie, Yingjie Yang, Hui Zhang. Analyzing the Aging Population and Density Estimation of Nanjing by Using a Novel Grey Self-Memory Prediction Model Under Fractional-Order Accumulation, The Journal of Grey System, 2022, 34(1): 34-40. SCI

Jingliang Jin, Qinglan Wen, Siqi Cheng, Yaru Qiu, Xianyue Zhang, Xiaojun Guo*. Optimization of carbon emission reduction paths in the low-carbon power dispatching process. Renewable Energy, 2022, 188: 425-436. SCI

Yaqin Zhong, Hanqing Xi, Xiaojun Guo, Tiantian Wang, Yanan Wang, Jian Wang. Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China. Int. J. Environ. Res. Public Health, 2022, 19(24): 16956. SCI&SSCI

Xiaojun Guo*, Houxue Shen, Sifeng Liu, Naiming Xie, Yingjie Yang, Jingliang Jin. Predicting the Trend of Infectious Diseases Using Grey Self-memory System Model: a Case Study of Incidence of Tuberculosis. Public Health, 2021, 201: 108-114. SCI&SSCI

Xiaojun Guo*, Rui Zhang, Naiming Xie, Jingliang Jin. Predicting the population growth and structure of China based on grey fractional-order models. Journal of Mathematics, 2021, vol. 2021: 7725125. SCI

Jingliang Jin, Xianyue Zhang, Lingling Xu, Qinglan Wen, Xiaojun Guo*. Impacts of carbon trading and wind power integration on carbon emission in the power dispatching process. Energy Reports, 2021, 7: 3887-3897. SCI

Jingliang Jin, Qinglan Wen, Xianyue Zhang, Siqi Cheng, Xiaojun Guo*. Economic emission dispatch for wind power integrated system with carbon trading mechanism. Energies, 2021, 14: 1870. SCI

Xiaojun Guo*, Sifeng Liu, Yingjie Yang. A prediction method for plasma concentration by using a nonlinear grey Bernoulli combined model based on a self-memory algorithm. Computers in Biology and Medicine, 2019, 105: 81-91. SCI&EI

Xiaojun Guo*, Sifeng Liu, Yingjie Yang. Grey self-memory combined model for complex equipment cost estimation. The Journal of Grey System, 2017, 29(1): 78-91. SCI

Xiaojun Guo*, Sifeng Liu, Yingjie Yang, Jingliang Jin. Forecasting China’s SO2 emissions by the nonlinear grey Bernoulli self-memory model. The Journal of Grey System, 2016, 28(1): 77-87. SCI

Xiaojun Guo*, Sifeng Liu, Lifeng Wu, Yanbo Gao, Yingjie Yang. A multi-variable grey model with a self-memory component and its application on engineering prediction. Engineering Applications of Artificial Intelligence, 2015, 42: 82-93. SCI&EI

Xiaojun Guo*, Sifeng Liu, Lifeng Wu, Lili Qian. Grey GM(1,1) power pharmacokinetics model coupling self-memory principle of dynamic system. The Journal of Grey System, 2014, 26(4): 122-138. SCI

Xiaojun Guo*, Sifeng Liu, Lifeng Wu, Lingling Tang. Application of a novel grey self-memory coupling model to forecast the incidence rates of two notifiable diseases in China: Dysentery and Gonorrhea. PLoS One, 2014, 9(12): e115664. SCI

Xiaojun Guo*, Sifeng Liu, Lifeng Wu, Lingling Tang. A grey NGM(1,1,k) self-Memory coupling prediction model for energy consumption prediction. The Scientific World Journal, 2014, vol. 2014: 301032. SCI

郭晓君*, 刘思峰, 杨英杰. 基于自忆性原理的多变量MGM(1,m)耦合系统模型构建及应用. 中国管理科学, 2015, 23(11): 112-118. CSSCI

郭晓君*, 刘思峰, 方志耕. 基于粗糙数和信息熵的产品设计方案灰色关联评估模型. 运筹与管理, 2015, 24(6): 170-175. CSSCI

郭晓君*, 刘思峰, 方志耕, 吴利丰. 融合自忆性原理的优化GM(1,1)幂模型构建及应用. 系统工程与电子技术, 2015, 37(1): 117-122. EI

郭晓君*, 刘思峰, 方志耕, 周伟杰. 灰色GM(1,1,tα)模型与自忆性原理的耦合及应用. 控制与决策, 2014, 29(8): 1447-1452. EI

郭晓君*, 刘思峰, 方志耕. 基于合成灰数灰度的区间灰数自忆性预测模型. 系统工程与电子技术, 2014, 36(6): 1124-1129. EI

郭晓君*, 刘思峰, 方志耕. 具自忆性的改进灰色Verhulst模型研究及应用. 系统工程, 2014, 32(4): 137-141. CSSCI

郭晓君*, 李大治, 褚海鸥, 缪雪晴. 基于GM(1,1)改进模型的“两税”税收预测研究. 统计与决策, 2014, (4): 34-36. CSSCI

郭晓君,张晖,李大治,医用高等数学,东南大学出版社,2023

奖励与荣誉

南通市第六届、第十二届自然科学优秀学术论文三等奖

江苏省高等学校劳动教育优秀实践项目二等奖

南通大学优秀共产党员