AI and Machine Learning Publications

2025

  1. Elghaish, F., Mohandes, S. R., Rahimian, F., Abrishami, S., & Hosseini, M. R. (2025). Predictive digital monitoring of construction resources: An integrated digital twin solution. Engineering, Construction and Architectural Management.
  2. Elghaish, F., Matarneh, S., Abdellatef, E., Rahimian, F., Hosseini, M. R., & Kineber, A. F. (2025). Multi-layers deep learning model with feature selection for automated detection and classification of highway pavement cracks. Smart and Sustainable Built Environment, 14(2), 511–535.
  3. Hosseini, M. R., Tummalapudi, M., Wu, W., Hyatt, B. A., & Francis, V. (2025). Competency framework for AI in construction: Shaping learning outcomes for the next generation. In Proceedings of the Associated Schools of Construction 61st Annual International Conference (pp. 472–481). Associated Schools of Construction.

2024

  1. Jia, Y., Wang, J., Hosseini, M. R., Shou, W., Wu, P., & Mao, C. (2024). Temporal graph attention network for building thermal load prediction. Energy and Buildings, 321, Article 113507.
  2. Xia, Z., Wang, J., Hosseini, M. R., Shou, W., Yan, X., & Xu, S. (2024). How knowledge is represented in AEC industry: A systematic review. Engineering, Construction and Architectural Management.

2023

  1. Alkaissy, M., Arashpour, M., Golafshani, E. M., Hosseini, M. R., Khanmohammadi, S., Bai, Y., & Feng, H. (2023). Enhancing construction safety: Machine learning-based classification of injury types. Safety Science, 162, Article 106102.
  2. Assadzadeh, A., Arashpour, M., Li, H., Hosseini, R., Baduge, S., & Elghaish, F. (2023). Excavator 3D pose estimation using deep learning and hybrid datasets. Advanced Engineering Informatics, 55, Article 101875.
  3. Elghaish, F., Chauhan, J. K., Matarneh, S., Rahimian, F. P., & Hosseini, M. R. (2023). Automated data retrieval solution from BIM using AI voice assistant. In C. S. Panigrahi, F. P. Rahimian, M. R. Hosseini, & M. Arashpour (Eds.), Digitalization in construction: Recent trends and advances (pp. 104–125). Routledge.
  4. Jia, Y., Wang, J., Shou, W., Hosseini, M. R., & Bai, Y. (2023). Graph neural networks for construction applications. Automation in Construction, 154, Article 104984.
  5. Salihu, C., Mohandes, S. R., Kineber, A. F., Hosseini, M. R., Elghaish, F., & Zayed, T. (2023). A deterioration model for sewer pipes using CCTV and artificial intelligence. Buildings, 13(4), Article 952.

2022

  1. Alsharif, R., Arashpour, M., Golafshani, E. M., Hosseini, M. R., Chang, V., & Zhou, J. (2022). Machine learning-based analysis of occupant-centric aspects: Critical elements in the energy consumption of residential buildings. Journal of Building Engineering, 46, Article 103846.
  2. Arashpour, M., Kamat, V., Heidarpour, A., Hosseini, M. R., & Gill, P. (2022). Computer vision for anatomical analysis of equipment in civil infrastructure projects: Theorizing the development of regression-based deep neural networks. Automation in Construction, 137, Article 104193.
  3. Elghaish, F., Chauhan, J. K., Matarneh, S., Rahimian, F. P., & Hosseini, M. R. (2022). Artificial intelligence-based voice assistant for BIM data management. Automation in Construction, 140, Article 104320.
  4. Elghaish, F., Talebi, S., Abdellatef, E., Matarneh, S. T., Hosseini, M. R., Wu, S., Mayouf, M., Hajirasouli, A., & Nguyen, T. Q. (2022). Developing a new deep learning CNN model to detect and classify highway cracks. Journal of Engineering, Design and Technology, 20(4), 993–1014.
  5. Rahimian, A., Hosseini, M. R., Martek, I., Taroun, A., Alvanchi, A., & Odeh, I. (2022). Predicting communication quality in construction projects: A fully-connected deep neural network approach. Automation in Construction, 139, Article 104268.

2020

  1. Darko, A., Chan, A. P. C., Adabre, M. A., Edwards, D. J., Hosseini, M. R., & Ameyaw, E. E. (2020). Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction, 112, Article 103081.
  2. Sadeghi, H., Mohandes, S. R., Hosseini, M. R., Banihashemi, S., Mahdiyar, A., & Abdullah, A. (2020). Developing an ensemble predictive safety risk assessment model: Case of Malaysian construction projects. International Journal of Environmental Research and Public Health, 17(22), Article 8395.