ACADEMICS

CONTACT

School of
Transportation,
2 Southeast University Road,
Jiangning District, Nanjing, Jiangsu Province
211189
P.R.China
Office: 025-52091255
dndxjtxy@126.com

WANG Siqi

Basic Information:

Wang Siqi, Ph.D., is an associate professor and a master's supervisor in the Department of Road Engineering, School of Transportation, Southeast University.

Research Team: Smart highway operation and maintenance technology

Office location: Room 510, School of Transportation Building, Jiulonghu Campus, Southeast University

Contact:siqiwang@seu.edu.cn


Dr. Wang has been working on investigating the internal condition and defect detection of roads and bridges based on non-destructive testing techniques. He is the PI of a natural science foundation project. He has participated in several projects sponsored by the Federal Highway Administration, the Illinois Department of Transportation, and the Hong Kong Highways Department.  He has published more than 30 papers in NDT&E International, Surveys in Geophysics, IEEE TGRS, and other journals in non-destructive testing and near-earth remote sensing. He co-authored a monograph on road nondestructive testing based on ground-penetrating radar. He is an organizer and member of several academic organizations, including Youth Editorial Board Member of the Journal of Road Engineering, Associate Member of the Academy of Pavement Science and Engineering (APSE), and World Transportation Congress (WTC). He is a member of several technical committees and an academic and youth committee member of the International Chinese Transportation Organization (IACIP). He is a member of the American Society of Civil Engineers (ASCE), the American Society for Nondestructive Testing (ASNT), and the Institute of Electrical and Electronics Engineers (IEEE).


Research Interests:

  • Ground-penetrating radar principles and non-destructive testing technique.

  • Digital signal processing and deep learning based on electromagnetic waves and mechanical waves.

  • Non-destructive testing and health monitoring systems for roads and bridges.

  • Smart road infrastructure perception, information integration, and decision-making system.


Education:

2016.08-2021.05, PhD in Department of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Supervisor: Imad L. Al-Qadi.

2013.09-2016.06, M.S. in School of Transportation, Southeast University, Supervisor: Xiaoming Huang.

2009.09-2013.06 B.S. in School of Transportation, Southeast University.


Work Experience:

2023.03-present Associate Professor, School of Transportation, Southeast University.

2021.08-2022.12 Post-doctoral Research Fellow in Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Supervisor: Zhen Leng


Research Projects:

  1. Research on real-time prediction method of compaction density of asphalt layer based on ground penetrating radar electromagnetic noise suppression mechanism, Youth Fund of National Natural Science Foundation of China. Principal investigator;

  2. Development of urban road collapse warning and underground infrastructure detection system based on ground penetrating radar, Hong Kong Construction Industry Council. Researcher;

  3. Research on real-time control technology of asphalt pavement compaction based on ground penetrating radar, funded by the Illinois Department of Transportation, USA. Researcher;

  4. Research on underground target rapid localization technology based on ground penetrating radar, University of Illinois at Urbana-Champaign Research Fund. Researcher;

  5. Research on in-situ cold recycling pavement water content assessment technology based on ground penetrating radar, jointly funded by the Illinois Department of Transportation and the Federal Highway Administration. Researcher;

  6. Research on thickness and density evaluation technology of thin overlay asphalt pavement based on ground penetrating radar, funded by the Illinois Department of Transportation, USA. Researcher;

  7. Research on the full-cycle anti-skid performance of asphalt pavement based on the macroscopic texture characteristics of the road surface, a general project of the National Natural Science Foundation of China. Participated.


Academic Achievements:

  • Monograph:

Leng Zhen, Wang Siqi. Nondestructive testing of in-situ asphalt pavement density based on ground penetrating radar technology. Tongji University Press, 2021.

  • Technical Standards:

1. Rapid detection procedure for three-dimensional ground penetrating radar of highway structural layer thickness, China Engineering Construction Association Standard, 2021

2. Three-dimensional ground penetrating radar detection procedures for highway subgrade pavement, local standards of Inner Mongolia Autonomous Region, 2022

  • Journal Articles:

  1. Wang, S., Leng, Z., and Sui, X. (2023). Detectability of concealed cracks in the asphalt pavement layer using air-coupled ground-penetrating radar. Measurement, 112427. (SCI, Q1, IF=5.131)

https://doi.org/10.1016/j.measurement.2022.112427

  1. Wang, S., Leng, Z., Zhang, Z., and Sui, X. (2022). Automatic asphalt layer interface detection and thickness determination from ground-penetrating radar data. Construction and Building Materials, 357, 129434. (SCI, Q1, IF=7.693)

https://doi.org/10.1016/j.conbuildmat.2022.129434

  1. Wang, S., Sui, X., Leng, Z., Jiang, J., & Lu, G. (2022). Asphalt pavement density measurement using non-destructive testing methods: current practices, challenges, and future vision. Construction and Building Materials, 344, 128154. (SCI, Q1, IF=7.693)

https://doi.org/10.1016/j.conbuildmat.2022.128154

  1. Luan, Y., Ma, T., Wang, S., Ma, Y., Xu, G., & Wu, M. (2022). Investigating mechanical performance and interface characteristics of cold recycled mixture: Promoting sustainable utilization of reclaimed asphalt pavement. Journal of Cleaner Production, 369, 133366, (SCI, Q1, IF=11.072)

https://doi.org/10.1016/j.jclepro.2022.133366

  1. Wang, S., and Al-Qadi, I. L. (2021). Impact and removal of ground-penetrating radar vibration on continuous asphalt concrete pavement density prediction. IEEE Transactions on Geoscience and Remote Sensing. (SCI, Q1, IF=8.125)

https://doi.org/10.1109/TGRS.2021.3106041

  1. Wang, S., Al-Qadi, I. L. and Cao, Q. (2019) Factors impacting monitoring asphalt concrete pavement density by ground penetrating radar. NDT & E International, 102296 (SCI, Q1, IF=4.683)

https://doi.org/10.1016/j.ndteint.2020.102296

  1. Wang, S., Zhao, S., and Al-Qadi, I. L. (2019) Real-time density and thickness estimation of thin asphalt pavement overlay using ground penetrating radar data. Surveys in Geophysics, 1-15. (SCI, Q1, IF=7.965)

https://doi.org/10.1007/s10712-019-09556-6

  1. Wang, S., Zhao, S., and Al-Qadi, I. L. (2018). Continuous real-time monitoring of flexible pavement layer density and thickness using ground penetrating radar. NDT & E International, 100, 48-54 (SCI, Q1, IF=4.683)

https://doi.org/10.1016/j.ndteint.2018.08.005

  1. Zhao, S., Al-Qadi, I. L., and Wang, S. (2018). Prediction of thin asphalt concrete overlay thickness and density using nonlinear optimization of GPR data. NDT & E International, 100, 20-30 (SCI, Q1, IF=4.683)

https://doi.org/10.1016/j.ndteint.2018.08.001

  1. Ma, T., Zhang, D., Zhang, Y., Wang, S., and Huang, X. (2018). Simulation of wheel tracking test for asphalt mixture using discrete element modeling. Road Materials and Pavement Design, 19(2), 367-384. (SCI, Q2, IF=3.805)

https://doi.org/10.1080/14680629.2016.1261725


Awards & Honors:

  1. Academy of Pavement Science and Engineering (APSE) Associate Member Award, 2023.

  2. The Hong Kong Polytechnic University Distinguished Postdoctoral Fellow Programme, 2022.

  3. Outstanding Speaker of the Institute of Transportation (TRC), 2021.


Other:

Research Gate

https://www.researchgate.net/profile/Siqi-Wang-18.

Google Scholar:

https://scholar.google.com/citations?user=eTwGdFkAAAAJ&hl=en