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Torkan Shafighfard

Observed names: Shafighfard, Torkan, T. Shafighfard
ORCID: 0000-0002-4210-3150
Observed ORCID: 0000-0002-4210-3150
OpenAlex ID: A5010785993
Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms
2022 · Torkan Shafighfard, Faramarz Bagherzadeh, et al. · Journal of Materials Research and Technology · 215
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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
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
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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
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Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study
2023 · Faramarz Bagherzadeh, Torkan Shafighfard, et al. · Mechanical Systems and Signal Processing · 123
Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge
2023 · Behrouz Adibimanesh, Sylwia Polesek-Karczewska, et al. · Sustainable Energy Technologies and Assessments · 121
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
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Design of fiber-reinforced variable-stiffness composites for different open-hole geometries with fiber continuity and curvature constraints
2019 · Torkan Shafighfard, Eralp Demir, et al. · Composite Structures · 111
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
Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites
2022 · Faramarz Bagherzadeh, Torkan Shafighfard · Case Studies in Construction Materials · 86
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Additive manufacturing of compliance optimized variable stiffness composites through short fiber alignment along curvilinear paths
2020 · Torkan Shafighfard, Thomas A. Cender, et al. · Additive manufacturing · 85
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
Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees
2025 · Aybike Özyüksel Çiftçioğlu, Anıl Delikanlı, et al. · Scientific Reports · 66
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Experimental and numerical study of the additively manufactured carbon fibre reinforced polymers including fibre Bragg grating sensors
2022 · Torkan Shafighfard, Magdalena Mieloszyk · Composite Structures · 56
Strength prediction and experimental damage investigations of plain woven CFRPs with interacting holes using multi‐instrument measurements
2023 · Raja Muhammad Awais Khan, Torkan Shafighfard, et al. · Polymer Composites · 38
A Robust Finite Element Analysis of the Rail-Wheel Rolling Contact
2013 · Mohammad Reza Aalami, Aras Anari, et al. · Advances in Mechanical Engineering · 26
Correction: 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 · 15
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Machine learning–based causal inference framework for assessing the carbon footprint of sustainable concrete mixtures
2026 · Aybike Özyüksel Çiftçioğlu, Torkan Shafighfard · Journal of Building Engineering · 9
Numerical and Experimental Investigation of Fiber-reinforced Constant and Variable Stiffness Composites for Open Hole Tension With Fiber Continuity and Curvature Constraints
2020 · Torkan Shafighfard · Sabanci University
Works count: 25
Citation count: 1,931
H-index: 18
I10-index: 19
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