Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Farzin Kazemi
Observed names:
F. Kazemi,
Kazemi, Farzin
Institutions:
Gdańsk University of Technology,
Politecnico di Milano
Observed institutions:
Gdańsk University of Technology,
National Technical University of Athens,
University College London,
Imam Khomeini International University,
University of Naples Federico II,
Politecnico di Milano
show all 6
ORCID:
0000-0002-2448-1465
Observed ORCID:
0000-0002-2448-1465
OpenAlex ID:
A5010952532
Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
2023
·
F. Kazemi
, N. Asgarkhani
, et al.
·
Soil Dynamics and Earthquake Engineering
·
299
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
2023
·
F. Kazemi
, N. Asgarkhani
, et al.
·
Archives of Civil and Mechanical Engineering
·
245
PDF
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
2024
·
Torkan Shafighfard
, Farzin Kazemi
, et al.
·
Engineering Applications of Artificial Intelligence
·
187
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
2024
·
Farzin Kazemi
, Neda Asgarkhani
, et al.
·
Expert Systems with Applications
·
167
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
2023
·
N. Asgarkhani
, F. Kazemi
, et al.
·
Engineering Applications of Artificial Intelligence
·
155
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
2023
·
N. Asgarkhani
, F. Kazemi
, et al.
·
Computers & Structures
·
145
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
2024
·
Torkan Shafighfard
, Farzin Kazemi
, et al.
·
Computer-Aided Civil and Infrastructure Engineering
·
143
PDF
Data-Driven Modeling of Mechanical Properties of Fiber-Reinforced Concrete: A Critical Review
2024
·
Farzin Kazemi
, Torkan Shafighfard
, et al.
·
Archives of Computational Methods in Engineering
·
133
Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
2024
·
Farzin Kazemi
, Neda Asgarkhani
, et al.
·
Archives of Computational Methods in Engineering
·
128
PDF
Active learning on stacked machine learning techniques for predicting compressive strength of alkali-activated ultra-high-performance concrete
2024
·
Farzin Kazemi
, Torkan Shafighfard
, et al.
·
Archives of Civil and Mechanical Engineering
·
112
PDF
Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction
2022
·
F. Kazemi
, R. Jankowski
·
Computers & Structures
·
107
RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
2025
·
F. Kazemi
, A. Ӧzyüksel Çiftçioğlu
, et al.
·
Computers & Structures
·
99
Transfer learning on stacked machine-learning model for predicting pull-out behavior of steel fibers from concrete
2025
·
Torkan Shafighfard
, Neda Asgarkhani
, et al.
·
Engineering Applications of Artificial Intelligence
·
96
Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
2025
·
A. Ӧzyüksel Çiftçioğlu
, F. Kazemi
, et al.
·
Applied Materials Today
·
82
Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
2022
·
F. Kazemi
, N. Asgarkhani
, et al.
·
Engineering Structures
·
82
Predicting the seismic collapse capacity of adjacent SMRFs retrofitted with fluid viscous dampers in pounding condition
2021
·
Farzin Kazemi
, Benyamin Mohebi
, et al.
·
Mechanical Systems and Signal Processing
·
80
PDF
Investigating the effects of structural pounding on the seismic performance of adjacent RC and steel MRFs
2020
·
F. Kazemi
, M. Miari
, et al.
·
Bulletin of Earthquake Engineering
·
80
PDF
Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various machine learning techniques
2022
·
A. Dehestani
, F. Kazemi
, et al.
·
Engineering Fracture Mechanics
·
68
Seismic performance evaluation of steel buckling-restrained braced frames including SMA materials
2023
·
F. Kazemi
, R. Jankowski
·
Journal of Constructional Steel Research
·
59
Development and experimental validation of a novel double-stage yield steel slit damper-buckling restrained brace
2024
·
F. Kazemi
, N. Asgarkhani
, et al.
·
Engineering Structures
·
58
Ensemble machine learning models for estimating mechanical curves of concrete-timber-filled steel tubes
2025
·
F. Kazemi
, N. Asgarkhani
, et al.
·
Engineering Applications of Artificial Intelligence
·
55
Enhancing seismic performance of rigid and semi-rigid connections equipped with SMA bolts incorporating nonlinear soil-structure interaction
2022
·
F. Kazemi
, R. Jankowski
·
Engineering Structures
·
54
Probabilistic assessment of SMRFs with infill masonry walls incorporating nonlinear soil-structure interaction
2022
·
F. Kazemi
, N. Asgarkhani
, et al.
·
Bulletin of Earthquake Engineering
·
51
PDF
Dynamic ensemble-learning model for seismic risk assessment of masonry infilled steel structures incorporating soil-foundation-structure interaction
2025
·
N. Asgarkhani
, F. Kazemi
, et al.
·
Reliability Engineering & System Safety
·
49
Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature
2020
·
Benyamin Mohebi
, Omid Yazdanpanah
, et al.
·
Journal of Building Engineering
·
49
Show more works
View as search
Works count:
77
Citation count:
3,326
H-index:
33
I10-index:
43
Year
Topic
Type
