Faculty Profile for Haitao Gong

profile photo for Haitao Gong
Haitao Gong
Postdoctoral Scholar — Ingram School of Engineering
RFM 5200
phone: (512) 245-1826
Scholarly/Creative Work
Grants

Selected Scholarly/Creative Work

  • Bu, L., Wang, F., & Gong, H. (2018). Spatial and factor analysis of vehicle crashes in Mississippi state. Natural Hazards, 94(3), pp 1255-1276. https://doi.org/https://doi.org/10.1007/s11069-018-3475-9
  • Gong, H., Luo, X., Tao, J., & Wang, F. (n.d.). Study of Key Factors in Pavement Distress Segmentation Using Deep Learning Techniques.
  • Tao, J., Luo, X., Wang, F., Faieq, A., Gong, H., & Qiu, X. (n.d.). Achieving Quality Assurance in Receiving Automated Pavement Condition Data: Threshold Development and Error Pattern Analysis. Transportation Research Record.
  • Luo, X., Tao, J., Wang, F., Faieq, A., Gong, H., & Hong, F. (n.d.). Enhancing Reliability in Automated Pavement Condition Data: A Data Quality Check Approach for Highway Agencies. Transportation Research Record.
  • Tao, J., Wang, F., Luo, X., Gong, H., Qiu, X., & Faieq, A. (2023). Developing the Quality Assurance Thresholds for Screening Automated Pavement Condition Data Using Prediction Interval Methods. International Journal of Pavement Engineering, 24(1). https://doi.org/https://doi.org/10.1080/10298436.2023.2222335

Selected Grants

  • Wang, Feng (Principal), Luo, Xiaohua (Co-Principal), Minifie, Jana Roberta (Co-Principal), Gong, Haitao (Supporting), Tao, Jueqiang (Supporting). StarImage: cost-effectiveness improved automated pavement condition survey system, NSF, Federal, $50000. (Submitted: August 27, 2020, Funded: January 2021 - March 2023). Grant.
  • Wang, Feng (Principal), Luo, Xiaohua (Co-Principal), Gong, Haitao (Co-Principal). Development of deep learning based automated data collection technology for coastal highway pavements, CREATE UTC, Texas State University, $115136. Grant.
  • Wang, Feng (Principal), Gong, Haitao (Co-Principal), Luo, Xiaohua (Co-Principal), Harrell, Michael (Supporting). Roadway Asset Server System (RASS), Texas State University, $20000. (Funded: June 17, 2023 - June 16, 2024). Grant.
  • Wang, Feng (Principal), Gong, Haitao (Co-Principal), Tesic, Jelena (Co-Principal), Luo, Xiaohua (Co-Principal). Artificial Intelligence for Pavement Condition Assessment from 2D/3D Surface Images, Texas Department of Transportation (TxDOT), State, $451875. (Submitted: March 7, 2022, Funded: September 1, 2022 - August 31, 2025). Grant.
  • Wang, Feng (Principal), Gong, Haitao (Co-Principal), Luo, Xiaohua (Co-Principal), Huang, Yaxiong (Supporting). Using artificial intelligence to improve the accuracy of automated pavement condition data collection, National Science Foundation, Federal, $250000. (Submitted: January 12, 2022, Funded: September 1, 2022 - August 31, 2024). Grant.