杨旭 教授

未来交通学院

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学位: 博士

毕业院校:

邮件: yang.xu@chd.edu.cn

电话: 02982338289

出生年月:

办公地点:

个人资料

  • 学院: 未来交通学院
  • 性别:
  • 出生年月:
  • 职称: 教授
  • 学位: 博士
  • 学历: 研究生
  • 毕业院校:
  • 联系电话: 02982338289
  • 电子邮箱: yang.xu@chd.edu.cn
  • 通讯地址: 陕西省西安市长安大学
  • 邮编:
  • 传真:
  • 办公地址:
  • 教育经历:

个人简介

杨旭,现任长安大学未来交通学院教授、博导、副院长,公路学院教授,博导。入选国家级高层次青年人才,陕西省高层次青年人才,西安欧美同学会第二届理事会副会长,中国公路学会青年专家委员会委员,中科协海智特聘专家,斯坦福大学全球2%顶尖科学家,担任“低碳智慧道路基础设施建设与养护”陕西省高校学科创新引智基地负责人,“道路感诊治一体化智慧技术”陕西高校青年创新团队负责人,“公路绿色智能养护技术交通运输部协同创新平台技术委员会副主任。近年来主持的科研项目包括中组部海外高层次引进人才专项基金、国家自然科学基金面上项目(2项)、青年项目、科技部重点研发计划重点专项子课题、澳大利亚国家研究委员会重大专项子课题(2项)、澳大利亚-德国联合研究项目、中澳合作项目、陕西省高层次引进人才专项基金等,联合主持或核心参与国家“111”引智基地专项,美国国家自然科学基金、美国联邦公路局项目、美国密歇根州环境保护署项目等。在Computer-aided Civil and Infrastructure Engineering, Automation in Construction, Journal of Hazardous Materials等顶级期刊上发表SCI 期刊论文110余篇,其中第一或通讯作者50,谷歌学术总引用4000余次,h指数40。担任业内多个SCI期刊编委或客座编辑;担任世界交通运输大会沥青混合料设计及评价委员会联合主席;担任业内约30多个国际期刊审稿人,教育部人才项目通讯评审专家,国家自然科学基金通讯评审专家,澳大利亚国家研究委员会(ARC)项目通讯评审专家。研究成果获中国公路学会科学技术一等奖2项,二等奖1项,陕西省科技进步二等奖1项,中国公路建设行业协会特等奖1项,陕西省交通运输科技一等奖1项;受邀在美国、澳大利亚、德国、瑞士、马来西亚等地做学术报告20余次。


社会职务

西安欧美同学会(西安留学人员联谊会),副会长

中国公路学会,青年专家委员会委员

中国力学学会,流变力学分会,青年专家委员会委员

Advances in Civil EngineeringSCI, 编委

Journal of Traffic and Transportation Engineering EI, 青年编委

Journal of Road Engineering, 青年编委

Advances in Materials Science and Engineering SCI, 客座编辑

Materials (SCI), 客座编辑

International Journal of Pavement Research and TechnologyEI客座编辑

世界交通运输大会(WTC)沥青与沥青混合料技术委员会,联合主席

国际华人交通运输者协会(IACIP,技术委员会委员

澳大利亚国家研究委员会(ARC)项目,通讯评审专家

教育部人才计划,通讯评审专家

国家自然科学基金,通讯评审专家

业内超过30个学术期刊审稿人


研究领域

道路交通基础设施智能监测;

数据驱动的道路基础设施维护;

面向未来的新型道路材料;

道路养护与修复施工自动化;

土木材料与结构多尺度数值模拟



开授课程

科研项目


  1. 国家自然科学基金面上项目(52378431):基于动态视觉与运动控制的路面裂缝实时寻迹跟踪关键方法研究,2024-2027,主持

  2. 国家重点研发计划子课题:严酷环境下在役沥青路面延寿与修复技术(2021YFB2601004),2021-2024,主持

  3. 国家自然科学基金面上项目:基于多源图像深度学习的路面裂缝高效识别及表征(52078049),2021-2024,主持

  4. 中组部“海外高层次引进人才计划”青年项目人才基金,2019-2024,主持

  5. 陕西省自然科学基金面上项目,2022-2023,主持

  6. 陕西省“高层次引进人才”青年项目人才基金,2019-2022,主持

  7. 国家自然科学基金青年项目,“基于真实骨料模型数据库和虚拟扫描成像技术的多相材料三维细观模型构建方法”,2018-2020,主持

  8. 教育部中央高校基本科研业务费,“路面裂缝智能修复平台”,2019-2022,主持

  9. 澳大利亚国家研究委员会(ARC)重大专项,子课题,“AutomatedPavementCrack DetectionandRepair”,2019-2024,主持

  10. 澳大利亚国家研究委员会(ARC)重大专项,子课题,“BitumenEmulsionforunseal road inAustralia”,2019-2024,主持

  11. 澳德联合合作交流项目, NumericalModelingofPorousAsphaltConcrete, 2019-2021,主持

  12. 美国密歇根州环境署,Low Emission Asphalt with Crumb Rubber, 2014-2016,联合主持

  13. 美国明尼苏达州交通厅,“Is seal coating counterproductive or not?”,2017-2019,联合主持


论文

发表SCI期刊论文100余篇,第一或通讯作者约50篇,Google Scholar引用次数超过4000次,文章节列如下:

Zhang, J., Yang, X.*, Wang, W., et al. (2023). Cross-entropy-based adaptive fuzzy control for visual tracking of road cracks with unmanned mobile robot. Computer-Aided Civil and Infrastructure Engineering, 00, 1–20.

Guan, J., X. Yang*, P. Liu, et al. (2023). Multi-scale asphalt pavement deformation detection and measurement based on machine learning of full field-of-view digital surface data. Transportation Research Part C: Emerging Technologies 152: 104177.

Pan, Z., J. Guan, X. Yang*, et al. (2023). One-stage 3D profile-based pavement crack detection and quantification. Automation in Construction 153: 104946.

Zhang, J., X. Yang*, W. Wang, et al. (2023). Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering. Automation in Construction 146: 104699.

Guan, J., X. Yang*, V. C. S. Lee, et al. (2022). Full field-of-view pavement stereo reconstruction under dynamic traffic conditions: Incorporating height-adaptive vehicle detection and multi-view occlusion optimization. Automation in Construction 144: 104615.

Guan, J., X. Yang*, L. You, et al. (2022). Multi-objective optimization for sustainable road network maintenance under traffic equilibrium: Incorporating costs and environmental impacts. Journal of Cleaner Production334: 130103.

Guan, J., X. Yang*, et al (2021). Automated pixel-level pavement distress detection based on stereo vision and deep learning. Automation in Construction129: 103788.

Liu J, Yang X*, Lau S, et al. Automated pavement crack detection and segmentation based on two-step convolutional neural network. Computer-Aided Civil and Infrastructure Engineering, 2020;1–15.https://doi.org/10.1111/mice.12622

Yang, X., Z. You, D. Perram, D. Hand, Z. Ahmed, W. Wei and S. Luo (2019). Emission analysis of recycled tire rubber modified asphalt in hot and warm mix conditions. Journal of Hazardous Materials 365: 942-951. 

Yang, X. and You, Z. Aggregate Morphology and Internal Structure for Asphalt Concrete: Computer Generated Microstructural models. ASCE International Journal of Geomechanics

Yang, X., Chen, S. and You, Z. (2017) A 3D Voxel based Approach to Quantify Aggregate Angularity and Surface Texture.ASCE Journal of Materials in Civil Engineering. doi: 10.1061/(ASCE)MT.1943-5533.0001872.

Yang, X., You, Z., and Hu, J. (2016). Three-Dimensional Finite Element Modeling for Asphalt Concrete Using Visual Cross-Sectional Imaging and Indirect Element Meshing Based on Discrete-Element Models. ASCE Journal of Materials in Civil Engineering. (Q2, IF: 1.644)

Yang, X., You, Z, Wang, Z. and Dai, Q. (2016) Review on heterogeneous model reconstruction of stone-based composites in numerical simulation. Construction and Building Materials, 117:229-243.

Yang, X., You, Z., Jin, C. and Wang, H. (2016). Aggregate Representation for Mesostructure of Stone based Materials using a Sphere Growth Model based on Realistic Aggregate Shapes. Materials and Structures, 49:2493-2508.(Q1, IF: 2.607)

Jin, C., Yang, X.*, and You, Z. (2015). Automated real aggregate modelling approach in discrete element method based on X-ray computed tomography images. International Journal of Pavement Engineering, doi: 10.1080/10298436.2015.1066006 (Q2, IF: 1.832)

Yang, X., You, Z., Dai, Q, and Z. Wang (2014). “Integrated Experimental-Numerical Approach for Estimating Asphalt Mixture Induction Healing Level through Discrete Element Modeling of a Single-Edge Notched Beam Test.” ASCE Journal of Materials in Civil Engineering, 27(9) doi: 

Yang, X., Z. You, J. Hiller, and D. Watkins (2018) Pavement performance zone based on mechanistic-empirical design and temperature indices. Transportmetrica A: Transport Science: p. 1-23.

Yang, X., You, Z., Watkins. D. and Hiller, J. (2017) Correlation Analysis between Temperature Indices and Flexible Pavement Distress Predictions using Mechanistic-Empirical Design.ASCE Journal of Cold Regions Engineering. doi: 10.1061/(ASCE)CR.1943-5495.0000135.

Yang, X., You, Z., Hiller, E.J., and Watkins, D. (2016) Updating and Augmenting Weather Data for Pavement Mechanistic-Empirical Design using ASOS/AWOS Database in Michigan. International Journal of Pavement Engineering

Yang, X., You, Z., Jacob E. Hiller, Watkins, D. (2015) Sensitivity of flexible pavement design to Michigan’s climatic inputs using pavement ME design.International Journal of Pavement Engineering, doi: 10.1080/10298436. 2015.1105373. (Q2, IF: 1.832)

Luo, S., Yang, X.*, Zhong, K and Yin, J. (2018) Open-graded Asphalt Concrete Grouted by Latex Modified Cement Mortar. Road Materials and Pavement Design, 1-17

Yang, X., Mills-beale, J. and You, Z. (2017) Chemical characterization and oxidative aging of bio-asphalt and its compatibility with petroleum asphalt.Journal of Cleaner Production, 142: 1837-1847.

Yang, X. and You, Z. (2015) “High Temperature Performance Evaluation of Bio-Oil Modified Asphalt Binders Using the DSR and MSCR Tests”. Construction and Building Materials 76(1): 380-387.

Yang, X., You, Z. and Mills-Beale (2014). “Asphalt Binders Blended with a High Percentage of Biobinders: Aging Mechanism Using FTIR and Rheology.” ASCE Journal of Materials in Civil Engineering27(4),04014157.




科技成果

荣誉奖励

中国公路学会科学技术一等奖,2022

中国公路建设行业协会特等奖,2022

陕西省科学技术二等奖,2022

全国互联网+创新创业大赛,银奖,(指导老师),2021

陕西省交通科技一等奖,2020

中国公路学会科学技术二等奖,2019

中组部 “海外高层次引进人才”青年人才,2019

陕西省 “海外高层次引进人才”青年人才,2018

中国公路学会科学技术一等奖,2017

美国中西部高校联盟优秀硕士论文奖,提名奖,2015

第五届国际华人交通者协会,学术海报竞赛,一等奖,2015

美国密歇根理工大学,杰出学生学者(全校每年一名),2015

美国密歇根理工大学,杰出学生领袖(全校每年一名),2015



工作经历