Ahed Habib 
- : Machine Learning-Based Estimation of Reinforced Concrete Columns Stiffness Modifiers for Improved Accuracy in Linear Response History Analysis. In: Journal of Earthquake Engineering.
- : Investigating the Performance of Data-Driven Ensemble Machine Learning Models in Preliminary Designing Multi-Stage Friction Pendulum Bearings. In: Structural Engineering International.
- (2024): A systematic and bibliometric review on physics-based neural networks applications as a solution for structural engineering partial differential equations. In: Structures, v. 69 (November 2024).
- (2024): Proposing unsupervised clustering-based earthquake records selection framework for computationally efficient nonlinear response history analysis of structures equipped with multi-stage friction pendulum bearings. In: Soil Dynamics and Earthquake Engineering, v. 182 (July 2024).
- (2024): Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams. In: Civil Engineering Journal, v. 10, n. 5 (1 May 2024).
- : Developing a framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities. In: Smart and Sustainable Built Environment.
- (2022): Identification of pulse-like ground motions using artificial neural network. In: Earthquake Engineering and Engineering Vibration, v. 21, n. 4 (October 2022).
- (2022): Influence of Isolator Properties and Earthquake Characteristics on the Seismic Behavior of RC Structure Equipped with Quintuple Friction Pendulum Bearings. In: International Journal of Structural Stability and Dynamics, v. 23, n. 6 (October 2022).
- (2021): Comparative study of base-isolated irregular RC structures subjected to pulse-like ground motions with low and high PGA/PGV ratios. In: Structures, v. 31 (June 2021).
- (2020): Mechanical and dynamic properties of high strength concrete with well graded coarse and fine tire rubber. In: Construction and Building Materials, v. 246 (June 2020).
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