M.Z. Naser, PhD, PE

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Rami A. HawilehProfessor of Civil Engineering, American University of Sharjah, UAEVerifierad e-postadress på aus.edu
V.K.R. KodurUniversity Distinguished Professor, Dept. of Civil and Environmental EngineeringVerifierad e-postadress på egr.msu.edu
Jamal A. AbdallaAmerican University of SharjahVerifierad e-postadress på aus.edu
Dr.N. ANANDAssociate Professor, Department of Civil Engineering, Karunya UniversityVerifierad e-postadress på karunya.edu
Lublóy ÉvaBudapesti Műszaki EgyetemVerifierad e-postadress på emk.bme.hu
Dr. Balamurali KanagarajKarunya Institute of Technology and SciencesVerifierad e-postadress på karunya.edu.in
Dr.A.Diana AndrushiaKarunya UniversityVerifierad e-postadress på karunya.edu
Arash Teymori Gharah TapehGraduate student, Clemson UniversityVerifierad e-postadress på g.clemson.edu
Hayder A. RasheedProfessor of Structural Engineering, Kansas State UniversityVerifierad e-postadress på ksu.edu
Huu-Tai ThaiARC Future Fellow and Professor of Structural Engineering at the University of MelbourneVerifierad e-postadress på unimelb.edu.au
Mohammad Khaled al-BashitiPh.D. Student, Clemson UniversityVerifierad e-postadress på clemson.edu
prince arulrajprofessor of civil engineering, Karunya University, CoimbatoreVerifierad e-postadress på karunya.edu
Pratik Bhatt Ph.D.Sr. Staff Consultant, Engineering Systems Inc. (ESi)Verifierad e-postadress på engsys.com
Vitaliy DegtyarevNew Millennium Building SystemsVerifierad e-postadress på newmill.com
Aybike Özyüksel ÇiftçioğluManisa Celal Bayar UniversityVerifierad e-postadress på cbu.edu.tr
Samuvel Raj RResearch Scholar, Department of Civil Engineering, Karunya Institute of Technology and SciencesVerifierad e-postadress på karunya.edu.in
Ahmad N. TarawnehAssociate Professor of Structural Engineering, Ph.D., P.E., The Hashemite UniversityVerifierad e-postadress på hu.edu.jo
Francisco Javier Domínguez MotaUniversidad Michoacana de San Nicolás de HidalgoVerifierad e-postadress på umich.mx
José Alberto Guzmán TorresUMSNHVerifierad e-postadress på umich.mx
Amir H. AlaviAssociate Professor, University of PittsburghVerifierad e-postadress på pitt.edu

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M.Z. Naser, PhD, PE

School of Civil and Enviro. Engg & Earth Sciences/AI Research Institute for Science & Engineering

Verifierad e-postadress på clemson.edu - Startsida

Knowledge discovery Causality in engineering Machine learning Structural engineering Concrete


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Fiber-reinforced polymer composites in strengthening reinforced concrete structures: A critical review MZ Naser, RA Hawileh, JA Abdalla Engineering Structures 198, 109542, 2019	477	2019
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	304	2023
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	174	2023
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	172	2021
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	170	2020
Extraterrestrial construction materials MZ Naser Progress in materials science 105, 100577, 2019	158	2019
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	158	2013
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	157	2009
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	117	2019
Mechanistically Informed Machine Learning and Artificial Intelligence in Fire Engineering and Sciences MZ Naser Fire Technology, 1-44, 2021	116	2021
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	110	2021
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	107	2012
Insights into performance fitness and error metrics for machine learning MZ Naser, A Alavi arXiv preprint arXiv:2006.00887, 2020	105	2020
Materials and design concepts for space-resilient structures MZ Naser, AI Chehab Progress in Aerospace Sciences 98, 74-90, 2018	104	2018
Importance factor for design of bridges against fire hazard VKR Kodur, MZ Naser Engineering Structures 54, 207-220, 2013	104	2013
Fire resistance evaluation through artificial intelligence - A case for timber structures MZ Naser Mendeley Data, 2019	95	2019
Structural Fire Engineering V Kodur, M Naser McGraw Hill Professional, 2020	90*	2020
StructuresNet and FireNet: Benchmarking databases and machine learning algorithms in structural and fire engineering domains MZ Naser, V Kodur, HT Thai, R Hawileh, J Abdalla, VV Degtyarev Journal of Building Engineering 44, 102977, 2021	88	2021
Deriving temperature-dependent material models for structural steel through artificial intelligence MZ Naser Construction and Building Materials 191, 56-68, 2018	88	2018
High temperature properties of fiber reinforced polymers and fire insulation for fire resistance modeling of strengthened concrete structures VKR Kodur, PP Bhatt, MZ Naser Composites Part B: Engineering 175, 107104, 2019	84	2019

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