Items where Author is "Ahmadian Fard Fini, A"

Wang, X; Du, M; Li, H X; Hasan, A and Ahmadian Fard Fini, A (2025) Gender inequality and challenges of women in the construction industry: An evidenced-based analysis from China. Engineering, Construction and Architectural Management, 32(13), pp. 213-233. ISSN 0969-9988

Yousefi, E; Ahmadian Fard Fini, A and Loganathan, S (2025) Production-oriented approach for optimal mass-customisation of floor panel layouts in cross-laminated timber (CLT) buildings. Engineering, Construction and Architectural Management, 32(9), pp. 5965-5988. ISSN 0969-9988

Wong, J K W; Bameri, F; Ahmadian Fard Fini, A and Maghrebi, M (2025) Tracking indoor construction progress by deep-learning-based analysis of site surveillance video. Construction Innovation, 25(2), pp. 461-489. ISSN 1471-4175

Wong, J K W; Maghrebi, M; Ahmadian Fard Fini, A; Alizadeh Golestani, M A; Ahmadnia, M and Er, M (2024) Development of a refined illumination and reflectance approach for optimal construction site interior image enhancement. Construction Innovation, 24(2), pp. 470-491. ISSN 1471-4175

Ekanayake, B; Ahmadian Fard Fini, A; Wong, J K W and Smith, P (2024) A deep learning-based approach to facilitate the as-built state recognition of indoor construction works. Construction Innovation, 24(4), pp. 933-949. ISSN 1471-4175

Ahmadian Fard Fini, A; Maghrebi, M; Forsythe, P J and Waller, T S (2022) Using existing site surveillance cameras to automatically measure the installation speed in prefabricated timber construction. Engineering, Construction and Architectural Management, 29(2), pp. 573-600. ISSN 0969-9988

Shahbazi, B; Akbarnezhad, A; Rey, D; Ahmadian Fard Fini, A and Loosemore, M (2019) Optimization of job allocation in construction organizations to maximize workers' career development opportunities. Journal of Construction Engineering and Management, 145(6): 04019036, ISSN 0733-9364

Ahmadian Fard Fini, A; Rashidi, T H; Akbarnezhad, A and Travis Waller, S (2016) Incorporating multiskilling and learning in the optimization of crew composition. Journal of Construction Engineering and Management, 142(5): 04015106, ISSN 0733-9364