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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
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Fakhri, S. A. K., Hamida, Z., & Goulet, J. A. (2025). Scalable probabilistic deterioration model based on visual inspections and structural attributes from large networks of bridges. Advanced Engineering Informatics, 64, 103035 (10 pages). Available
Fakhri, S. A. K., Hamida, Z., & Goulet, J. A. (2023, July). Bayesian neural networks for large-scale infrastructure deterioration models [Paper]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Available
Hamida, Z., & Goulet, J. A. (2024). Quantifying the Relative Change in Maintenance Costs due to Delayed Maintenance Actions in Transportation Infrastructure. Journal of Performance of Constructed Facilities, 38(5), 04024035 (12 pages). External link
Hamida, Z., & Goulet, J. A. (2023). Hierarchical reinforcement learning for transportation infrastructure maintenance planning. Reliability Engineering & System Safety, 235, 109214 (12 pages). External link
Hamida, Z., & Goulet, J. A. (2023, July). Maintenance planning for bridges using hierarchical reinforcement learning [Paper]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Available
Hamida, Z., & Goulet, J. A. (2022, August). Modelling the Deterioration of Infrastructure Using Network-Scale Visual Inspections [Paper]. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2022), Montreal, QC, Canada. Unavailable
Hamida, Z., Laurent, B., & Goulet, J. A. (2022). OpenIPDM: A probabilistic framework for estimating the deterioration and effect of interventions on bridges. SoftwareX, 18, 101077 (6 pages). External link
Hamida, Z., & Goulet, J. A. (2022). Quantifying the effects of interventions based on visual inspections from a network of bridges. Structure and Infrastructure Engineering, 18(8), 1222-1233. External link
Hamida, Z., & Goulet, J. A. (2022). A stochastic model for estimating the network-scale deterioration and effect of interventions on bridges. Structural Control and Health Monitoring, 29(4), 25 pages. External link
Hamida, Z., & Goulet, J. A. (2021). Network-scale deterioration modelling of bridges based on visual inspections and structural attributes. Structural Safety, 88, 102024 (12 pages). External link
Hamida, Z. (2020). Stochastic Modelling of Infrastructures Deterioration and Interventions based on Network-Scale Visual Inspections [Ph.D. thesis, Polytechnique Montréal]. Available
Hamida, Z., & Goulet, J. A. (2020). Modeling infrastructure degradation from visual inspections using network-scale state-space models. Structural Control and Health Monitoring, 27(9), 18 pages. External link
Laurent, B., Deka, B., Hamida, Z., & Goulet, J. A. (2023). Analytical Inference for Inspectors' Uncertainty Using Network-Scale Visual Inspections. Journal of Computing in Civil Engineering, 37(5), 12 pages. External link
Laurent, B., Hamida, Z., & Goulet, J. A. (2022, August). Estimating the Bias Associated with Inspectors in the Context of Visual Inspections on Infrastructure [Paper]. 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII 2022), Montreal, QC, Canada. Unavailable
