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Farzad Pour Rahimian, PhD. MCIOB FHEA
Farzad Pour Rahimian, PhD. MCIOB FHEA
Professor of Digital Engineering and Manufacturing, Teesside University, UK
Verified email at tees.ac.uk - Homepage
Title
Cited by
Cited by
Year
Machine learning for estimation of building energy consumption and performance: a review
S Seyedzadeh, FP Rahimian, I Glesk, M Roper
Visualization in Engineering 6, 1-20, 2018
2732018
New offsite production and business models in construction: priorities for the future research agenda
JS Goulding, F Pour Rahimian, M Arif, MD Sharp
Architectural engineering and design management 11 (3), 163-184, 2015
2272015
Comparison of CAD and manual sketching tools for teaching architectural design
R Ibrahim, FP Rahimian
Automation in Construction 19 (8), 978-987, 2010
1802010
On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
FP Rahimian, S Seyedzadeh, S Oliver, S Rodriguez, N Dawood
Automation in Construction 110, 103012, 2020
1772020
Impacts of VR 3D sketching on novice designers’ spatial cognition in collaborative conceptual architectural design
FP Rahimian, R Ibrahim
Design Studies 32 (3), 255-291, 2011
1672011
Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency
P Pilechiha, M Mahdavinejad, FP Rahimian, P Carnemolla, ...
Applied Energy 261, 114356, 2020
1352020
Tuning machine learning models for prediction of building energy loads
S Seyedzadeh, FP Rahimian, P Rastogi, I Glesk
Sustainable Cities and Society 47, 101484, 2019
1302019
Integration of BIM and generative design to exploit AEC conceptual design innovation
S Abrishami, JS Goulding, F Pour-Rahimian, A Ganah
Journal of Information Technology in Construction 19, 350-359, 2014
862014
Virtual reality-based cloud BIM platform for integrated AEC projects
JS Goulding, FP Rahimian, X Wang
Journal of Information Technology in Construction 19, 308-325, 2014
792014
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
S Seyedzadeh, FP Rahimian, S Oliver, S Rodriguez, I Glesk
Applied Energy 279, 115908, 2020
752020
Promoting off-site construction: Future challenges and opportunities
M Arif, J Goulding, FP Rahimian
Journal of Architectural Engineering 18 (2), 75-78, 2012
752012
OpenBIM-Tango integrated virtual showroom for offsite manufactured production of self-build housing
FP Rahimian, V Chavdarova, S Oliver, F Chamo, LP Amobi
Automation in Construction 102, 1-16, 2019
702019
Automated planning of concrete joint layouts with 4D-BIM
M Sheikhkhoshkar, FP Rahimian, MH Kaveh, MR Hosseini, DJ Edwards
Automation in construction 107, 102943, 2019
562019
Review of motivations, success factors, and barriers to the adoption of offsite manufacturing in Nigeria
FP Rahimian, J Goulding, A Akintoye, S Kolo
Procedia engineering 196, 512-519, 2017
552017
Offsite construction: strategic priorities for shaping the future research agenda
JS Goulding, F Pour-rahimian, M Arif, MD Sharp
Journal of Architectoni. ca 1 (1), 62-73, 2012
552012
Successful education for AEC professionals: case study of applying immersive game-like virtual reality interfaces
F Pour Rahimian, T Arciszewski, JS Goulding
Visualization in Engineering 2, 1-12, 2014
502014
Offsite manufacturing construction: a big opportunity for housing delivery in Nigeria
SJ Kolo, FP Rahimian, JS Goulding
Procedia Engineering 85, 319-327, 2014
502014
Virtual generative BIM workspace for maximising AEC conceptual design innovation: A paradigm of future opportunities
S Abrishami, J Goulding, F Pour Rahimian, A Ganah
Construction Innovation 15 (1), 24-41, 2015
432015
Advanced virtual reality applications and intelligent agents for construction process optimisation and defect prevention
Z Asgari, FP Rahimian
Procedia engineering 196, 1130-1137, 2017
412017
Data driven model improved by multi-objective optimisation for prediction of building energy loads
S Seyedzadeh, FP Rahimian, S Oliver, I Glesk, B Kumar
Automation in Construction 116, 103188, 2020
402020
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