一、个人简介

胡军，3200威尼斯vip特聘研究员，于2024年在福州大学获得博士学位，其中2022-2024年于西班牙胡安卡洛斯国王大学开展交流访问。目前主要从事时空复杂性理论、能源管理、人工智能等方面的研究，已在包括Annals of Operations Research、Physics of Life Reviews、Chaos、Applied Mathematics and Computation、Chaos, Solitons and Fractals等期刊发表学术论文40余篇，其中高被引论文3篇，谷歌引用300余次。入选3200威尼斯vip“骏马计划”人才项目，并担任IEEE、Physics Review系列等多个学术期刊的审稿人。

二、教育背景与工作经历

2013年9月-2017年6月 西南石油大学 数学与应用数学 理学学士

2018年9月-2020年5月 史蒂文斯理工学院 企业项目管理 理学硕士

2020年9月-2024年9月 福州大学 管理系统工程 管理学博士

2022年10月-2024年9月 胡安卡洛斯国王大学 数学系 联合培养

2024年11月至今 3200威尼斯vip 特聘研究员

三、主讲课程

本科生《应用计量经济学》

本科生双学位《经济史》

四、 科研成果

[1]       Liu Z, Hu J, Zhang S, He Z. Risk spillovers among oil, gold, stock, and foreign exchange markets: Evidence from G20 economies. The North American Journal of Economics and Finance. 2024, 1;74:102249. (SSCI, IF: 2.8, ABS 2星, JCR Q1)

[2]       He Z, Zhang S, Hu J*, et al. An adaptive time series segmentation algorithm based on visibility graph and particle swarm optimization[J]. Physica A: Statistical Mechanics and its Applications, 2024, 636: 129563.(SCI, IF: 2.8, 中科院2区)

[3]     Zhang P, Dai E, Wu C, Hu J. Spatio-temporal patterns of hot extremes in China based on complex network analysis. Climate Dynamics. 2024, 62(2):841-60. (SCI, IF: 3.8，中科院2区）

[4]     Zhang, P., Dai, E., Wu, C., Hu, J., & Liu, F. (2023). Viewing China's escalating heatwaves through the lens of complex networks. Ecological Indicators, 2023, 157, 111248. (SCI, IF: 7.0，中科院2区）

[5]       Hu J, Chu C, Criado R, et al. Visibility graph and graph convolution networks-based segmentation of carbon emission in China[J]. Annals of Operations Research, 2023: 1-22. (SCI, IF:4.8 , ABS 3星 中科院3区）

[6]       Hu J., C. Chu, P. Zhu, M Yuan, Visibility graph-based segmentation of multivariate time series data and its application [J]. Chaos: An Interdisciplinary Journal of Nonlinear Science 2023, 33, 093123  (SCI, IF:2.9, 中科院2区）

[7]       Hu, J., Zhang Y. Wu P. Li H-J. An analysis of the global fuel-trading market based on the visibility graph approach. Chaos, Solitons and Fractals, 2022, 154: 111613. (SCI, IF:9.922 ,中科院一区）

[8]       Cui M, Hu J*, Wu P, et al. Evolutionary Analysis of International Student Mobility Based on Complex Networks and Semi-Supervised Learning[J]. Frontiers in Physics, 2022: 538. (SCI, IF:3.560, 中科院3区）

[9]       Hu J., J. Chen, P. Zhu, S. Hao, M. Wang, H. Li, N. Liu. Difference and cluster analysis on the carbon dioxide emissions in China during Covid-19 lockdown via a complex network model. Frontiers in psychology, 2022, 12: 6410. (SSCI JCR: Q1, ESI高被引)

[10]   Wu, X., Wu, Z., & Hu, J. . Global competitiveness analysis of industrial robot technology innovations market layout using visibility graph. Physica A: Statistical Mechanics and Its Applications, 2022, 603, 127672. (SCI, IF: 2.8, 中科院2区)

[11]   Hu, J., Chu C., Xu L. Wu P., Li H.J., Critical Terrorist Organization in Terrorist Organization Alliance Network Based on Key Nodes Founding. Frontiers in Physics 2021, 9: 687883. (SCI, IF:3.560, 中科院3区）

[12]   Cui X, Hu J.* Ma Y, et al. Investigation of stock price network based on time series analysis and complex network. International Journal of Modern Physics B, 2021, 35(13): 2150171. (SCI, IF: 1.219，中科院4区）

[13]   Qiao, H.H., Deng, Z.H., Li, H.J., Hu, J., Song, Q., & Gao, L.  Research on historical phase division of terrorism: An analysis method by time series complex network. Neurocomputing, 2021, 420, 246-265. (SCI, IF: 5.5，中科院2区）

[14]   Hu, J., Xia, C., Li, H.J.., Zhu, P., & Xiong, W. Properties and structural analyses of USA’s regional electricity market: A visibility graph network approach. Applied Mathematics and Computation, 2020, 385, 125434.(SCI, IF:4.091, 中科院一区ESI高被引论文）

[15]   Hu, J., Li, H. J., Gao, J., Zhou, Z., & Xia, C. Identifying Desirable Function Perturbations in Signaling Pathways Through Stochastic Analysis. IEEE Access, 2020, 8, 15448-15458. (SCI, IF:3.367 , 中科院2区）

[16]   Wang L, Hu J*, Hu Y. Investigation of the Global Stock Trading Based on Visibility Graph and Entropy Weight Method[J]. Fluctuation and Noise Letters, 2023, 22(6): 2350050-158.(SCI, IF:1.8, 中科院4区）

[17] Zou, R.; Deng, Z.; Lu, Y.; Hu, J.; Han, Z., Study of spreading phenomenon in network population considering heterogeneous property, Chaos Solitons & Fractals, 2021, 153: 111520. (SCI, IF:9.922 ,中科院1区）

[18] 胡军,王雨桐,何欣蔚,武晖栋,李慧嘉.基于复杂网络的全球航空网络结构分析与应用[J].计算机科学,2021,48(S1):321-325.

[19] 宋砚秋,胡军,齐永欣.创新价值转化时滞效应模型构建及实证研究[J].科研管 理, 2022, 43 (03) : 192-200.

[20] 张梦月,胡军,严冠,李慧嘉,基于可见性图网络的中国专利申请关注度分析[J], 计算机科学, 2020, (08): 189-194.