Neda Asgarkhani

According to our database, Neda Asgarkhani authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Ensemble machine learning models for estimating mechanical curves of concrete-timber-filled steel tubes.

Farzin Kazemi, Neda Asgarkhani, T. Ghanbari-Ghazijahani, Robert Jankowski

Eng. Appl. Artif. Intell., 2025

2024

Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls.

Farzin Kazemi, Neda Asgarkhani, Robert Jankowski

Expert Syst. Appl., 2024

Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete.

Torkan Shafighfard, Farzin Kazemi, Neda Asgarkhani, Dooyeol Yoo

Eng. Appl. Artif. Intell., 2024

Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods.

Neda Asgarkhani, Farzin Kazemi, Anna Jakubczyk-Galczynska, B. Mohebi, Robert Jankowski

Eng. Appl. Artif. Intell., 2024

Active Learning on Ensemble Machine-Learning Model to Retrofit Buildings Under Seismic Mainshock-Aftershock Sequence.

Neda Asgarkhani, Farzin Kazemi, Robert Jankowski

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence.

Farzin Kazemi, Neda Asgarkhani, Ahmed Manguri, Natalia Lasowicz, Robert Jankowski

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Investigating an Optimal Computational Strategy to Retrofit Buildings with Implementing Viscous Dampers.

Farzin Kazemi, Neda Asgarkhani, Ahmed Manguri, Robert Jankowski

Proceedings of the Computational Science - ICCS 2022, 2022