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Aiman Tarıq

Observed names: A. Tariq, Aiman Tariq
Observed institution: Bursa Uludağ Üni̇versi̇tesi̇
ORCID: 0000-0003-0369-9091
Observed ORCID: 0000-0003-0369-9091
OpenAlex ID: A5071970864
An Inverse Parameter Identification in Finite Element Problems Using Machine Learning-Aided Optimization Framework
2025 · A. Tariq, B. Deliktaş · Experimental Mechanics · 44
On the use of physics-based constraints and validation KPI for data-driven elastoplastic constitutive modelling
2025 · Rúben Lourenço, Aiman Tariq, et al. · Computer Methods in Applied Mechanics and Engineering · 39
Bending analysis of cantilever microbeams with three porosity distributions using physics-informed neural network and modified couple stress theory
2025 · Aiman Tariq, Büşra Uzun, et al. · Engineering Applications of Artificial Intelligence · 31
Application of machine learning methodology for investigating the vibration behavior of functionally graded porous nanobeams
2024 · Aiman Tariq, Büşra Uzun, et al. · The Journal of Strain Analysis for Engineering Design · 30
Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite
2024 · Aiman Tariq, Ayşe Polat, et al. · Journal of Reinforced Plastics and Composites · 29
Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach
2024 · Aiman Tariq, Büşra Uzun, et al. · Mechanics of Advanced Materials and Structures · 29
Modeling the viscoelastic behavior of a FG nonlocal beam with deformable boundaries based on hybrid machine learning and semi-analytical approaches
2025 · Aiman Tariq, Hayrullah Gün Kadıoğlu, et al. · Archive of Applied Mechanics · 24
Investigation of the critical buckling load of a column with linearly varying moment of inertia using analytical, numerical, and hybrid machine learning approaches
2025 · Ayşe Polat, Aiman Tariq, et al. · The Journal of Strain Analysis for Engineering Design · 23
A machine learning approach for buckling analysis of a bi-directional FG microbeam
2024 · Aiman Tariq, Büşra Uzun, et al. · Microsystem Technologies · 23
An investigation on ensemble machine learning algorithms for nonlinear stability response of a two-dimensional FG nanobeam
2024 · Aiman Tariq, Büşra Uzun, et al. · Journal of the Brazilian Society of Mechanical Sciences and Engineering · 22
On the machine learning approach for computational homogenization of short fiber-reinforced composites with elastoplastic behavior
2025 · Ayşe Polat, Aiman Tariq, et al. · Journal of Reinforced Plastics and Composites · 19
ANN-based evaluation system for erosion resistant highway shoulder rocks
2024 · Aiman Tariq, Basil Abualshar, et al. · International Journal of Geo-Engineering · 17
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Semi-analytical and machine learning approaches for investigating the torsional vibration behavior of nano-sized viscoelastic tubes
2025 · Aiman Tariq, Hayrullah Gün Kadıoğlu, et al. · Mechanics of Advanced Materials and Structures · 16
Assessment of machine learning methods predicting the axial vibration frequencies of microbars
2023 · Aiman Tariq, Büşra Uzun, et al. · ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik · 16
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Investigation of the torsional dynamics of viscoelastic nanorod through Gaussian process-based surrogate modeling and semi-analytical approaches
2025 · Hayrullah Gun Kadioglu, Aiman Tariq, et al. · Mechanics Based Design of Structures and Machines · 5
Federated Scientific Machine Learning Framework for Multi-Scale Inverse Parameter Identification: Application to Nonlocal Strain Gradient Plasticity
2026 · George Z. Voyiadjis, Babur Deliktas, et al. · Research Square
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Dynamic characterization of polycarbonate: A constitutive model capturing temperature and strain rate effects
2025 · Cem İ. Kapcı, Merve Z. Tekin, et al. · International Civil Engineering & Architecture Conference (ICEARC)
Works count: 17
Citation count: 367
H-index: 14
I10-index: 14
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