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归旭豪

发布日期:2026-10-15 浏览量:

【基本情况】

姓名

归旭豪

性别

男

出生年月

1995年10月

职称/职务

预聘副教授

导师类别

 

研究领域

低空运行优化

招生学科

交通运输

联系方式

19850822871









 

【详细介绍】

一、教育背景

2014.9-2018.6中国民航大学空管学院交通运输专业获工学学士学位

2018.9-2021.3南京航空航天大学民航学院交通运输工程专业获工学硕士学位

2021.4-2025.3南京航空航天大学民航学院交通运输工程专业获工学博士学位

二、工作经历

2025.6-2026.8 任法国国立民航学院研究工程师

2026.9-至今   任中国民航大学交通科学与工程学院预聘副教授

三、教学与科研

教学课程

 

研究方向

低空运行优化,航迹预测,复杂性度量

研究项目

2025.6至2026.8,参与SESAR项目“Planning   Regional-Scale Multimodal Operations for Innovative Air Mobility”,(101167262)

 

论文专著教材及

专利软著

期刊论文:

[1]  X. Gui, J. Zhang, X. Tang, J. Bao, and B. Wang, “A   data-driven trajectory optimization framework for terminal maneuvering area   operations,” Aerospace Science and Technology, vol. 131, p. 108 010,   2022. DOI: 10.1016/j.ast.2022.108010

[2]  X. Gui, J. Zhang, X. Tang, D. Delahaye, and J. Bao, “A   novel aircraft trajectory generation method embedded with data mining,”   Aerospace, vol. 11, no. 8, p. 648, 2024. DOI: 10.3390/aerospace11080648

[3]  X. Gui, J. Zhang, X. Tang, and J. Bao, “Improved   data-driven trajectory optimization method utilizing deep trajectory   generation,” Journal of Aerospace Information Systems, vol. 22, no.   1, pp. 28–42, 2025. DOI: 10.2514/1.I011418

[4]  X. Gui, J. Zhang, D. Delahaye, X. Tang, and J. Bao, “Data-driven   arrival trajectory optimization model based on improved genetic algorithm,”   Journal of Aerospace Information Systems, vol. 23, no. 2, pp. 200–213,   2026. DOI: 10.2514/1.I011689

[5]  X. Gui, J. Zhang, Z. Peng, and C. Yang, “Data-driven   method for the prediction of estimated time of arrival,”   Transportation Research Record, vol. 2675, no. 12, pp. 1291–1305,   2021. DOI: 10.1177/036119812110332

[6]  X. Gui, J. Zhang, and Z. Peng, “Trajectory   clustering for arrival aircraft via new trajectory representation,”   Journal of Systems Engineering and Electronics, vol. 32, no. 2, pp. 473–486,   2021. DOI: 10.23919/JSEE.2021.000040

[7]  X. Gui, J. Zhang, X. Tang, and B. Kang, “Arrival   pattern recognition and prediction based on machine learning,”   Transactions of Nanjing University of Aeronautics and Astronautics, vol. 38,   no. 6, pp. 927–936, 2021. DOI: 10.16356/j.1005-1120.2021.06.003

[8]  C. Yang, J. Zhang, X. Gui, Z. Peng, and B. Wang, “A   data-driven method for flight time estimation based on air traffic pattern   identification and prediction,”   Journal of Intelligent Transportation Systems, vol. 28, no. 3, pp. 352–371,   2024. DOI: 10.1080/15472450.2022.2130693

[9]  J. Bao, R. Huang, J. Zhang, X. Gui, and J. Kang, “Aircraft   performance guided neural stochastic differential equations: A deep   generative model for aircraft trajectories in the terminal maneuvering areas,”   Aerospace Science and Technology, vol. 180, no. 2, p. 113 740, 2026. DOI:   10.1016/j.ast.2026.113740

[10]J. Bao, Z. Zhang, J. Zhang, Y. Chen, and X. Gui, “Exploring   the conflict risk characteristics of air weaving sections in metroplex   terminal areas with flight trajectory data and adaptive graph   spatial-temporal transformer,”   Journal of Air Transport Management, vol. 120, p. 102 667, 2024. DOI:   10.1016/j.jairtraman.2024.102667

[11]杜卓铭, 张军峰, and 归旭豪, “繁忙终端空域连续爬升与下降运行的调度优化,” 北京航空航天大学学报, vol. 51, no. 9, pp. 3193–3202,   2025. DOI: 10.13700/j.bh.1001-5965.2023.0415

 

专利和软件著作权:

 

航空器的进场飞行模式预测方法和装置以及存储介质

 

 

 

 

其他教学科研标志性工作

(参与培养方案、培养体系等制定,主持大创、课改等项目情况,参与教材编写情况,指导本科生、研究生情况,带领团队获奖情况等等)

 

 

 

 

四、荣誉奖项

中国航空运输协会民航科学技术奖 二等奖(第十),2022

五、其他(社会兼职等)

担任《Transportation Research Part C: Emerging Technologies》,《Transportation Research Part E:Logistics and Transportation Review》,《Engineering Applications of Artificial Intelligence》,《European Journal of Operational Research》,《Expert System with Applications》,《Journal   of Air Transport Management》,《Journal of Traffic and   Transportation Engineering (English Edition)》,《Scientific   Reports》,《CEAS Aeronautical Journal》,《The Journal of Supercomputing》期刊审稿人。