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M.Z. Naser, PhD, PE
M.Z. Naser, PhD, PE
School of Civil and Enviro. Engg & Earth Sciences/AI Research Institute for Science & Engineering
Verified email at clemson.edu - Homepage
Title
Cited by
Cited by
Year
Fiber-reinforced polymer composites in strengthening reinforced concrete structures: A critical review
MZ Naser, RA Hawileh, JA Abdalla
Engineering Structures 198, 109542, 2019
3832019
Error metrics and performance fitness indicators for artificial intelligence and machine learning in engineering and sciences
MZ Naser, AH Alavi
Architecture, Structures and Construction 3 (4), 499-517, 2023
1962023
Finite element simulation of reinforced concrete beams externally strengthened with short-length CFRP plates
RA Hawileh, MZ Naser, JA Abdalla
Composites Part B: Engineering 45 (1), 1722-1730, 2013
1532013
Modeling of insulated CFRP-strengthened reinforced concrete T-beam exposed to fire
RA Hawileh, M Naser, W Zaidan, HA Rasheed
Engineering structures 31 (12), 3072-3079, 2009
1512009
Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams
R Solhmirzaei, H Salehi, V Kodur, MZ Naser
Engineering structures 224, 111221, 2020
1432020
Extraterrestrial construction materials
MZ Naser
Progress in materials science 105, 100577, 2019
1292019
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference
MZ Naser
Automation in Construction 129, 103821, 2021
1222021
Finite element modeling of reinforced concrete beams externally strengthened in flexure with side-bonded FRP laminates
RA Hawileh, HA Musto, JA Abdalla, MZ Naser
Composites Part B: Engineering 173, 106952, 2019
1042019
Nonlinear finite element modeling of concrete deep beams with openings strengthened with externally-bonded composites
RA Hawileh, TA El-Maaddawy, MZ Naser
Materials & Design 42, 378-387, 2012
1022012
Mechanistically Informed Machine Learning and Artificial Intelligence in Fire Engineering and Sciences
MZ Naser
Fire Technology, 1-44, 2021
1012021
Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices
ATG Tapeh, MZ Naser
Archives of Computational Methods in Engineering 30 (1), 115-159, 2023
992023
Evaluating structural response of concrete-filled steel tubular columns through machine learning
MZ Naser, S Thai, HT Thai
Journal of Building Engineering 34, 101888, 2021
922021
Materials and design concepts for space-resilient structures
MZ Naser, AI Chehab
Progress in Aerospace Sciences 98, 74-90, 2018
872018
Importance factor for design of bridges against fire hazard
VKR Kodur, MZ Naser
Engineering Structures 54, 207-220, 2013
852013
Insights into performance fitness and error metrics for machine learning
MZ Naser, A Alavi
arXiv preprint arXiv:2006.00887, 2020
832020
Structural Fire Engineering
V Kodur, M Naser
McGraw Hill Professional, 2020
83*2020
Fire resistance evaluation through artificial intelligence - A case for timber structures
MZ Naser
Mendeley Data, 2019
832019
Deriving temperature-dependent material models for structural steel through artificial intelligence
MZ Naser
Construction and Building Materials 191, 56-68, 2018
822018
A probabilistic assessment for classification of bridges against fire hazard
MZ Naser, VKR Kodur
Fire Safety Journal 76, 65-73, 2015
732015
Modeling the response of composite beam–slab assemblies exposed to fire
VKR Kodur, M Naser, P Pakala, A Varma
Journal of Constructional Steel Research 80, 163-173, 2013
712013
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