Mujib Olamide Adeagbo 
- : An Efficient Dynamic Response Reconstruction Methodology Based on Model Condensation and Modal Decomposition. In: International Journal of Structural Stability and Dynamics.
- (2022): A data-driven method for real-time compaction quality evaluation of a cement-stabilized base layer. In: Advances in Structural Engineering, v. 25, n. 11 (Mai 2022).
- (2022): Bayesian System Identification of Rail–Sleeper–Ballast System in Time and Modal Domains: Comparative Study. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 3 (September 2022).
- (2022): Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters. In: Engineering Structures, v. 254 (März 2022).
- (2022): On the selection of the most plausible non-linear axial stress–strain model for railway ballast under different impulse magnitudes. In: Structural Health Monitoring, v. 21, n. 4 (Januar 2022).
- (2021): A Bayesian methodology for detection of railway ballast damage using the modified Ludwik nonlinear model. In: Engineering Structures, v. 236 (Juni 2021).
- (2020): Time-domain Markov chain Monte Carlo–based Bayesian damage detection of ballasted tracks using nonlinear ballast stiffness model. In: Structural Health Monitoring, v. 20, n. 5 (Dezember 2020).
- (2019): Bayesian model updating of a 20-story office building utilizing operational modal analysis results. In: Advances in Structural Engineering, v. 22, n. 16 (6 November 2019).
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