Prof. Hosein Naderpour

Faculty of Civil Engineering

Semnan University, Iran

E-mail: [email protected]

Qualifications

2010, Ph.D., Structural Engineering, Semnan University

2006, M.Sc., Structural Engineering, Semnan University

Publications (Selected)

1. Chen, L., Nouri, Y., Allahyarsharahi, N., Naderpour, H., Rezazadeh Eidgahee, D., & Fakharian, P. (2025). Optimizing compressive strength prediction in eco-friendly recycled concrete via artificial intelligence models. Multiscale and Multidisciplinary Modeling, Experiments and Design, 8(1), 24.
2. Fakharian, P., Naderpour, H., Sharbatdar, M. K., & Ghasemi, S. H. (2025). Development of a New Method for Strong Ground Motion Selection Considering Joint Probability Distribution. Journal of Structural Design and Construction Practice, 30(1), 04024082.
3. Okasha, N. M., Mirrashid, M., Naderpour, H., Nguyen, T. N., Alzo’ubi, A. K., & Alneasan, M. (2024). An innovative formulation for predicting the punching shear behavior in two-way reinforced concrete slabs. Mechanics Based Design of Structures and Machines, 52(12), 10321-10342.
4. Fakharian, P., Nouri, Y., Ghanizadeh, A. R., Jahanshahi, F. S., Naderpour, H., & Kheyroddin, A. (2024). Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA. Composite Structures, 349, 118532.
5. Okasha, N. M., Mirrashid, M., Naderpour, H., Ciftcioglu, A. O., Meddage, D. P. P., & Ezami, N. (2024). Machine learning approach to predict the mechanical properties of cementitious materials containing carbon nanotubes. Developments in the Built Environment, 19, 100494.
6. Raeisi, A., Sharbatdar, M. K., Naderpour, H., & Fakharian, P. (2024). Flexural capacity prediction of RC beams strengthened in terms of NSM system using soft computing. Journal of Soft Computing in Civil Engineering, 8(4), 1-26.
7. Raoufy, A. A., Kheyroddin, A., & Naderpour, H. (2024). Comparative study of rapid visual screening methods in determining the seismic vulnerability of existing reinforced concrete hospital buildings. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 48(4), 2263-2277.
8. Asteris, P. G., Gandomi, A. H., Armaghani, D. J., Kokoris, S., Papandreadi, A. T., Roumelioti, A., ... & Terpos, E. (2024). Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm. European Journal of Internal Medicine, 125, 67-73.
9. Kiani, A., Yang, T. Y., Kheyroddin, A., Kafi, M. A., & Naderpour, H. (2024, March). Quantification of seismic performance factors of mixed concrete/steel buildings using the FEMA P695 methodology. In Structures (Vol. 61, p. 106144). Elsevier.
10. Naderpour, H., Abbasi, M., Kontoni, D. P. N., Mirrashid, M., Ezami, N., & Savvides, A. A. (2024). Integrating image processing and machine learning for the non-destructive assessment of RC beams damage. Buildings, 14(1), 214.
11. Raoufy, A. A., Kheyroddin, A., & Naderpour, H. (2023). Seismic Vulnerability Assessment of Reinforced Concrete Hospital Buildings Using Rapid Visual Screening Method According to FEMA P-154 criteria and Iranian Code# 364. Civil Infrastructure Researches, 9(2), 77-93.
12. Ezami, N., Özyüksel Çiftçioğlu, A., Mirrashid, M., & Naderpour, H. (2023). Advancing Shear Capacity Estimation in Rectangular RC Beams: A Cutting-Edge Artificial Intelligence Approach for Assessing the Contribution of FRP. Sustainability, 15(22), 16126.
13. Mirrashid, M., Naderpour, H., Kontoni, D. P. N., Jakubczyk-Gałczyńska, A., Jankowski, R., & Nguyen, T. N. (2023). Optimized computational intelligence model for estimating the flexural behavior of composite shear walls. Buildings, 13(9), 2358.
14. Mirrashid, M., Naderpour, H., Kontoni, D. P. N., Jakubczyk-Gałczyńska, A., Jankowski, R., & Nguyen, T. N. (2023). Optimized computational intelligence model for estimating the flexural behavior of composite shear walls. Buildings, 13(9), 2358.
15. Mirrashid, M., & Naderpour, H. (2023). Incomprehensible but Intelligible-in-time logics: Theory and optimization algorithm. Knowledge-Based Systems, 264, 110305.
16. Hemmatian, A., Jalali, M., Naderpour, H., & Nehdi, M. L. (2023). Machine learning prediction of fiber pull-out and bond-slip in fiber-reinforced cementitious composites. Journal of Building Engineering, 63, 105474.

Profile Details

WoS ResearcherID: F-5695-2011

https://orcid.org/0000-0002-4179-7816

https://naderpour.semnan.ac.ir/

https://scholar.google.com/citations?user=bx1LstMAAAAJ&hl=en

https://www.researchgate.net/profile/H-Naderpour