A fully autonomous kernel-based online learning neural network model and its application to building cooling load prediction. - Eric Wai Ming Lee; Ivan W. H. Fung; Vivian W. Y. Tam; Mehrdad Arashpour (Soft Comput., 2014)

A simulation model for investigation of operation of elevator's up-peak. - Shousheng Xiang; Mehrdad Arashpour; Ron R. Wakefield (J. Simulation, 2020)

Automatic far-field camera calibration for construction scene analysis. - Amin Assadzadeh; Mehrdad Arashpour; Alireza Bab-Hadiashar; Tuan Duc Ngo; Heng Li 001 (Comput. Aided Civ. Infrastructure Eng., 2021)

3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review. - Kaveh Mirzaei; Mehrdad Arashpour; Ehsan Asadi; Hossein Masoumi; Yu Bai; Ali Behnood (Adv. Eng. Informatics, 2022)

Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete. - Seyed Amirhossein Moghaddas; Masood Nekoei; Emadaldin Mohammadi Golafshani; Ali Behnood; Mehrdad Arashpour (Appl. Soft Comput., 2022)

A Bayesian smoothing for input-state estimation of structural systems. - Mohsen Ebrahimzadeh Hassanabadi; Amin Heidarpour; Saeed Eftekhar Azam; Mehrdad Arashpour (Comput. Aided Civ. Infrastructure Eng., 2022)

Prediction of wildfire rate of spread in grasslands using machine learning methods. - Sadegh Khanmohammadi; Mehrdad Arashpour; Emadaldin Mohammadi Golafshani; Miguel G. Cruz; Abbas Rajabifard; Yu Bai (Environ. Model. Softw., 2022)

Predicting the compressive strength of eco-friendly and normal concretes using hybridized fuzzy inference system and particle swarm optimization algorithm. - Emadaldin Mohammadi Golafshani; Ali Behnood; Mehrdad Arashpour (Artif. Intell. Rev., 2023)

Excavator 3D pose estimation using deep learning and hybrid datasets. - Amin Assadzadeh; Mehrdad Arashpour; Heng Li 001; Reza Hosseini; Faris Elghaish; Shanaka Baduge (Adv. Eng. Informatics, 2023)

End-to-end point cloud-based segmentation of building members for automating dimensional quality control. - Kaveh Mirzaei; Mehrdad Arashpour; Ehsan Asadi; Hossein Masoumi; Amir Mahdiyar; Vicente Gonzalez (Adv. Eng. Informatics, 2023)

Predicting individual learning performance using machine-learning hybridized with the teaching-learning-based optimization. - Mehrdad Arashpour; Emadaldin Mohammadi Golafshani; Rajendran Parthiban; Julia Lamborn; Alireza Kashani; Heng Li 001; Parisa Farzanehfar (Comput. Appl. Eng. Educ., 2023)

User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections. - Zhong Wang 007; Yulun Wu; Vicente A. González; Yang Zou; Enrique del Rey Castillo; Mehrdad Arashpour; Guillermo Cabrera-Guerrero (Adv. Eng. Informatics, 2023)

Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests. - Sadegh Khanmohammadi; Miguel G. Cruz; Daniel D. B. Perrakis; Martin E. Alexander; Mehrdad Arashpour (Ecol. Informatics, 2024)

Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires. - Sadegh Khanmohammadi; Miguel G. Cruz; Emadaldin Mohammadi Golafshani; Yu Bai; Mehrdad Arashpour (Environ. Model. Softw., 2024)

Lightweight segmentation model for automated facade installation in high-rise buildings. - Ahmed Yimam Hassen; Mehrdad Arashpour; Elahe Abdi (Adv. Eng. Informatics, 2025)

Leveraging large-scale vision foundation models for automated construction and demolition waste recognition. - Diani Sirimewan; Ahmed Farouk Kineber; Sudharshan Raman; Reyes Garcia; Mehrdad Arashpour (Adv. Eng. Informatics, 2025)