Introduction of Biogeography-Based Programming as a new algorithm for solving problems. - Emadaldin Mohammadi Golafshani (Appl. Math. Comput., 2015)

A feasibility study of BBP for predicting shear capacity of FRP reinforced concrete beams without stirrups. - Emadaldin Mohammadi Golafshani; Ashraf Ashour (Adv. Eng. Softw., 2016)

Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete. - Emadaldin Mohammadi Golafshani; Ali Behnood (Appl. Soft Comput., 2018)

Predicting the climbing rate of slip formwork systems using linear biogeography-based programming. - Emadaldin Mohammadi Golafshani; Siamak Talatahari (Appl. Soft Comput., 2018)

Introduction of ABCEP as an automatic programming method. - Masood Nekoei; Seyed Amirhossein Moghaddas; Emadaldin Mohammadi Golafshani; Amir H. Gandomi (Inf. Sci., 2021)

Application of fuzzy modelling to predict the earthquake damage degree of buildings based on field data. - Mohammad Reza Amiri Shahmirani; Abbas Akbarpour Nikghalb Rashti; Mohammad Reza Adib Ramezani; Emadaldin Mohammadi Golafshani (J. Intell. Fuzzy Syst., 2021)

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)

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)

Modeling the compressive strength of concrete containing waste glass using multi-objective automatic regression. - Emadaldin Mohammadi Golafshani; Alireza Kashani (Neural Comput. Appl., 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)

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)

Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning. - Emad Golafshani; Nima Khodadadi; Tuan Ngo; Antonio Nanni; Ali Behnood (Adv. Eng. Softw., 2024)

Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete. - Emadaldin Mohammadi Golafshani; Ali Behnood; Taehwan Kim; Tuan Ngo; Alireza Kashani (Appl. Soft Comput., 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)

Chemically-Guided extreme gradient boosting models for predicting the elastic modulus of alkali-activated Concrete: Insights into base learner variants. - Seyed Ali Eftekhar Afzali; Emad Golafshani; Tuan Ngo (Eng. Appl. Artif. Intell., 2025)

Carbonation depth assessment of recycled aggregate concrete: An application of conformal prediction intervals. - Parisa Hajibabaee; Ali Behnood; Tuan Ngo; Emadaldin Mohammadi Golafshani (Expert Syst. Appl., 2025)