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TALEBI, S., WU, S., SEN, A., ZAKIZADEH, N., SUN, Q. and LAI, J., 2025. Infrastructure automated defect detection with machine learning: a systematic review. International Journal of Construction Management. ISSN 1562-3599

WU, S., SEN, A. and TALEBI, S., 2022. Digital examination of masonry bridge defects using point cloud. In: G. AOUAD, A. AL KHAJA, R. AL SHALABI and M. ALI, eds., Proceeding of the International Conference on the Leadership and Management of Projects in the Digital Age (IC:LAMP 2022). Bahrain: Applied Science Univeristy, pp. 119-128. ISBN 9789995808082

SEN, A., TALEBI, S., WU, S. and SHELBOURN, M., 2022. Towards detailed digital examination of masonry railway bridges using terrestrial laser scanner. In: S. PERERA and M. HARDIE, eds., Proceedings of the 45th AUBEA (Australasian Universities Building Education Association) Conference 2022: Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment, Australia. Penrith, New South Wales, Australia: Western Sydney University, pp. 260-269.

AL-HABAIBEH, A., HAWAS, A., HAMADEH, L., MEDJDOUB, B., MARSH, J. and SEN, A., 2021. Enhancing the sustainability and energy conservation in heritage buildings: the case of Nottingham Playhouse. Frontiers of Architectural Research. ISSN 2095-2635

SEN, A., 2021. Novel assessment of wall insulation in buildings using mathematical modelling, infrared thermography and artificial intelligence. PhD, Nottingham Trent University.

SEN, A. and AL-HABAIBEH, A., 2020. The effect of Covid-19 pandemic on energy demand, carbon emission and household budget of households in England due to working from home. Energy Proceedings, 9: 0522. ISSN 2004-2965

SEN, A. and AL-HABAIBEH, A., 2020. The effect of Covid-19 pandemic on energy demand, carbon emission and household budget of households in England due to working from home. In: ICAE2020: 12th International Conference on Applied Energy, Bangkok, Thailand (virtual), 1-10 December 2020.

SEN, A. and AL-HABAIBEH, A., 2019. The design of a novel approach for the assessment of thermal insulation in buildings using infrared thermography and artificial intelligence. International Journal of Design Engineering, 9 (1), pp. 65-77. ISSN 1751-5874