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Farzad Safi Jahanshahi

Observed names: F. Safi Jahanshahi, Safi Jahanshahi, Farzad
Observed institution: Sirjan University of Technology
ORCID: 0000-0002-9205-3497
Observed ORCID: 0000-0002-9205-3497
OpenAlex ID: A5017579659
Compressive strength, durability, and resilient modulus of cement-treated magnetite and hematite iron ore tailings as pavement material
2024 · F. Safi Jahanshahi, A.R. Ghanizadeh · Construction and Building Materials · 33
Data-driven prediction of axial compression capacity of GFRP-reinforced concrete column using soft computing methods
2025 · Younes Nouri, Ali Reza Ghanizadeh, et al. · Journal of Building Engineering · 32
Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA
2024 · Pouyan Fakharian, Younes Nouri, et al. · Composite Structures · 30
Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings
2025 · Farzad Safi Jahanshahi, Ali Reza Ghanizadeh · Scientific Reports · 19
Machine learning approaches for RCPT modeling of concrete
2025 · Hamed Naseri, Farzad Safi Jahanshahi, et al. · Construction and Building Materials · 17
Enhanced Prediction and Uncertainty Modeling of Pavement Roughness Using Machine Learning and Conformal Prediction
2025 · Sadegh Ghavami, Hamed Naseri, et al. · Infrastructures · 13
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Intelligent modelling of unconfined compressive strength of cement stabilised iron ore tailings: a case study of Golgohar mine
2023 · Ali Reza Ghanizadeh, Farzad Safi Jahanshahi, et al. · European Journal of Environmental and Civil engineering · 10
Predicting Flow Number of Asphalt Mixtures Based on the Marshall Mix design Parameters Using Multivariate Adaptive Regression Spline (MARS)
2020 · Ali Reza Ghanizadeh, Farzad Safi Jahanshahi, et al. · International Journal of Transportation Engineering · 10
A Case Study on Potential Use of Stabilized Mine Overburden Wastes as Pavement Materials
2023 · A. R. Ghanizadeh, F. Safi Jahanshahi · Transportation Infrastructure Geotechnology · 9
Advanced Machine Learning Techniques for Predicting the California Bearing Ratio of Soils Stabilized with Cement Kiln Dust
2026 · Sadegh Ghavami, Hamed Naseri, et al. · International Journal of Pavement Research and Technology · 5
An Experimental Study on the Resilient Modulus of Cement-Stabilized Mine Overburden as Sustainable Base Materials
2024 · Ali Reza Ghanizadeh, Farzad Safi Jahanshahi · Arabian Journal for Science and Engineering · 5
Interpretable AI Models Based on Hybrid Ensemble Learning Methods for Predicting Unconfined Compressive Strength of Cement-Stabilized Magnetite Iron Ore Tailing
2026 · Farzad Safi Jahanshahi, Ali Reza Ghanizadeh, et al. · AI · 3
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Advanced statistical modeling of loading waveform, frequency, temperature, and SBS modification effects on asphalt concrete resilient modulus
2026 · Ali Reza Ghanizadeh, Farzad Safi Jahanshahi · Scientific Reports
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Prediction of geopolymer-stabilized soils
2026 · Safi Jahanshahi, Farzad, Ghanizadeh, Ali Reza, et al. · Zenodo (CERN European Organization for Nuclear Research)
A Unified MARS‐NRBO Model for Predicting Dynamic Modulus of Asphalt Concretes and Stone Matrix Asphalts Produced by Hot and Warm Technologies
2026 · Ali Reza Ghanizadeh, Farzad Safi Jahanshahi, et al. · Advances in Materials Science and Engineering
Works count: 17
Citation count: 189
H-index: 9
I10-index: 8
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