Allen

AONAN/ALLEN ZHANG

Associate Professor

School of Civil Engineering

Email: aonan.zhang@swjtu.edu.cn

Office: Room 1435, Jiuli Campus

 

BIO

Education

ž   PhD, School of Civil and Environmental Engineering, Oklahoma State University, U.S. (2011-2015)

ž   M.A., Department of Railway and Highway Engineering, Southwest Jiaotong University (2008-2011)

ž   B.S., School of Civil Engineering, Southwest Jiaotong University (2004-2008) 

Employment

Academic Appointments

ž   Associate Professor, School of Civil Engineering, Southwest Jiaotong University, China (2021-present)

ž   Postdoctoral Fellow, School of Civil and Environmental Engineering, Oklahoma State University, U.S. (2016-2019)

 

Research Interests

ž   Automated Infrastructure Investigation

ž   Artificial Intelligence

ž   Computer Vision

ž   System Optimization

ž   Remote Sensing

ž   Parallel Computing

ž   Data Compression

 

SELECTED PUBLICATIONS

Principal Publications

ž   Zhang, A. & Wang, K. C. P. (2017), The Fast Prefix Coding Algorithm (FPCA) for 3D Pavement Surface Data Compression, Computer-Aided Civil and Infrastructure Engineering, 32(3), 173-190.

ž   Zhang, A., Fei, Y., Wang, K. C. P., Li, B. et al. (2017), Automated Pixel-level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network, Computer-Aided Civil and Infrastructure Engineering, 32(10), 805-819.

ž   Zhang, A., Wang, K. C. P., Fei, Y. et al. (2019), Automated Pixel-level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network, Computer-Aided Civil and Infrastructure Engineering, 34(3), 213-229.

ž   Zhang, A., Yang, G., Wang, K. C. P., Li, B. et al. (2021), Automated Faulting Measurement based on Full-lane 3D Pavement Surface Data, Transportation Research Part C: Emerging Technologies, 128 (2021), 103221.1-14. 4

ž   Fei, Y., Wang, K. C. P., Zhang, A.*, Chen, C. et al. (2019), Pixel-Level Cracking Detection on 3D Asphalt Pavement Images through Deep-Learning based CrackNet-V, IEEE Transactions on Intelligent Transportation Systems, 21(1), 273-284.

ž   Zhang, A., Wang, K. C. P., Fei, Y. et al. (2018), Deep-Learning based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet, Journal of Computing in Civil Engineering, 32(5), 04018041.1-14.

ž   Zhang, A., Wang, K. C. P. & Ai, C. (2017), 3D Shadow Modeling for Detection of Descended Patterns on 3D Pavement Surface, Journal of Computing in Civil Engineering, 31(4), 04017019.1-04017019.13.

ž   Zhang, A., Wang, K. C. P. & Qiu, S. (2018), Detecting Pavement Joints and Grooves with Improved 3D Shadow Modeling, Journal of Computing in Civil Engineering, 32(2), 04018003.1-04018003.12.

ž   Zhang, A., Wang, K. C. P., Ji, R. et al. (2016), Efficient System of Cracking-Detection Algorithms with 1-mm 3D-Surface Models and Performance Measures, Journal of Computing in Civil Engineering, 30(6), 04016020.1-04016020.16.

ž   Zhang, A., Wang, K. C. P., Yang, E., Li, J. Q., Chen, C. & Qiu, Y. (2018), Pavement Lane Marking Detection Using Matched Filter, Measurement, 130, 105-117.

ž   Tang, Y., Zhang, A.*, Luo, L., Wang, G. & Yang, E. (2021), Pixel-level pavement crack segmentation with encoder-decoder network, Measurement, 184, 1-11.

ž   Li, B., Wang, K. C. P., Zhang, A.* & Fei, Y. (2019), Automatic Segmentation and Enhancement of Pavement Cracks Based on 3D Pavement Images, Journal of Advanced Transportation, 2019, 1-9.

ž   Zhang, A., Li, Q., Wang, K. C. P. & Qiu, S. (2013), Matched Filtering Algorithm For Pavement Cracking Detection, Transportation Research Record , 2367, 30-42. 

ž   Wang, W., Zhang A., Wang, K. C. P., et al. (2017), Pavement Crack Width Measurement Based on Laplace’s Equation for Continuity and Unambiguity, Computer-aided Civil and Infrastructure Engineering, 33(2), 110-123. 

ž   Ai, C., Qiu, S., Xu, G., Zhang, A. & Wang, K. C. P. (2018), A nonballasted rail track slab crack identification method using a level-set-based active contour model, Computer-aided Civil and Infrastructure Engineering, 33(7), 571-584. 

ž   Li, B. X., Wang, K. C. P., Zhang, A., Yang, E. et al. (2018), Automatic classification of pavement crack using deep convolutional neural network, International journal of pavement engineering, 21(4), 457-463. 

ž   Qiu, S., Wang, K. C. P., Zhang, A., Li, J. Q. et al. (2018), A Comprehensive System for AASHTO PP60-10-based Pavement Rut Evaluation Using 1-mm 3D Pavement Surface Model, International Journal of Pavement Engineering, 19(6), 489-501. 

ž   Yang, G., Li, J., Zhan, Y., Fei, Y. & Zhang, A. (2018), Convolutional Neural Network based Friction Model Using Pavement Texture Data, Journal of Computing in Civil Engineering, 32(6), 04018052.1-04018052.10. 

ž    Qiu, S., Wang, K. C. P., Wang, W., Li, Q. & Zhang A. (2016), Reducing the Effect of Inaccurate Lane Identification on PP69-10-Based Rut Characterization, Journal of Infrastructure Systems, 22(1), 04015009.1-04015009.12. 

 

RESEARCH

Current Research

ž   Intelligent Pavement Distress Detection Based on Deep Learning

ž   Automated High-speed Railway Investigation

ž   Stereo-Vision Systems for Infrastructure Engineering