PI

Feng Wang, Ph.D., PE,

Professor, Program Coordinator of Civil Engineering
Ingram School of Engineering
Texas State University
Office: RFM 5202
Phone: 512-245-5258
Email: f_w34@txstate.edu
Address: 601 University Drive, San Marcos, TX 78640

Biography and Education 

PhD in Transportation Engineering, University of Texas at Austin, 2005
MS in Systems Engineering, Tianjin University, Tianjin China, 1994
BS in Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing China, 1987

Research Interests

Automated data collection technologies for Pavement Management Systems
Simulation and data analysis for Emergency Evacuation

Selected Publications

  1. Gong, H., J. Tešić, J. Tao, X. Luo, and F. Wang. Automated Pavement Crack Detection with Deep Learning Methods: What Are Main Factors and How to Improve the Performance? Accepted to Transportation Research Record, 2022.
  2. Luo, X., H. Gong, J. Tao, F. Wang, J. Minifie, and X. Qiu. How to Improve Data Quality of Automated Pavement Condition Data Collection? A Study Based on Survey Questionnaire and Interviews. Accepted to Journal of Transportation Engineering, Part B: Pavements, 2022.
  3. Tao, J., H. Gong, F. Wang, X. Luo, X. Qiu, and J. Liu. Deep Learning Based Automated Segmentation of Air-Void System in Hardened Concrete Surface Using Three Dimensional Reconstructed Images. Construction and Building Materials, Construction and Building Materials, Vol. 324, #126717, 2022.
  4. Gong, H., and F. Wang. Pavement Image Dataset for Deep Learning: A Synthetic Approach. International Airfield and Highway Pavement Conference, Austin, June 6-9, 2021. T&DI, ASCE.
  5. Tao, J., H. Gong, F. Wang, X. Luo, X. Qiu, and Y. Huang. Automated Image Segmentation of Air Voids on Hardened Concrete Surface Using Photometric Stereo Three-Dimensional Reconstruction Method. International Journal of Pavement Engineering, #2001811, 2021.
  6. Luo, X., F. Wang, S. Bhandari, N. Wang, and X. Qiu. Effectiveness evaluation and influencing factor analysis of pavement seal coat treatments using random forests. Construction and Building Materials, Vol. 282, 2021, #122688.
  7. Luo, X., Wang, F., Wang, N., Qiu, X., and Tao, J. “Evaluation of Warranty and Non-warranty Pavement Performance Using Survival Analysis”, Journal of Transportation Engineering, ASCE, Vol.146(1), 2020.
  8. Luo, X., Wang, F., Wang, N., Tao, J., Qiu, X. and Amini, F. “Rebuilding the Distress Thresholds for Pavement Warranty Program in Mississippi”, Transportation Research Record, 2019, Vol. 2673(2) pp: 323–334.
  9. Tao, J., X. Luo, X. Qiu, and F. Wang. 2019. “Statistical Analyses of Data Quality of Automated Pavement Cracking Measurements”, the 98th Annual TRB Meeting, Washington, D.C., January 2019.
  10. Zhou, Y., F. Wang, N. Meghanathan, and Y. Huang. “Seed Based Approach for Automated Crack Detection from Pavement Images”, Transportation Research Record: Journal of the Transportation Research Board, Issue 2589, 2016, pp 162–171.

Selected Grants

  • National Science Foundation (NSF). “Using artificial intelligence to improve the accuracy of automated pavement condition data collection,” $250k, 2022-2024, PI
  • Texas Department of Transportation (TxDOT). “Artificial Intelligence for Pavement Condition Assessment from 2D/3D Surface Images,” $450k, 2022-2025, PI.
  • National Science Foundation (NSF). “StarImage: cost-effectiveness improved automated pavement condition survey system,” $50k, 2021-2022, PI.
  • Texas Department of Transportation (TxDOT). “Improve data quality for automated pavement distress data collection,” $450k, 2020-2023, PI.
  • Texas Department of Transportation (TxDOT). “Determine Evacuation Planning Design for Disaster Resilience,” $302k, 2020-2023, Co-PI.
  • Federal Highway Administration (FHWA). “Administration of the Dwight David Eisenhower transportation fellowship program (DDETFP) local competition at Texas State University,” $51k, 2021, and 2022, PI.
  • Federal Highway Administration (FHWA). “National Summer Transportation Institute”, $150k, 2019,2021, and 2022, PI.