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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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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.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Dollon, Q., Ghorbani, E., & Gosselin, F. (2025). Bayesian input-state-parameter inference of hydrodynamic bearings: From partial displacement measurements to force reconstruction. Mechanical Systems and Signal Processing, 230, 112610 (16 pages). External link
Dollon, Q., Ghorbani, E., & Gosselin, F. (2023, May). Bayesian-based system identification of a tilting pad journal bearing under colored excitation [Abstract]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada. Published in Progress in Canadian Mechanical Engineering, 6. External link
Ghorbani, E., Dollon, Q., & Gosselin, F. (2024). Physics-aware tuning of the unscented Kalman filter: statistical framework for solving inverse problems involving nonlinear dynamical systems and missing data. Nonlinear Dynamics, 23 pages. External link
Laperle, V., Ghorbani, E., Dollon, Q., & Gosselin, F. (2026). Digital twin of a pipe conveying fluid: Flow rate anomaly detection and quantification via multi-fidelity Kalman filters and event based cameras signals. Mechanical Systems and Signal Processing, 248, 114027 (16 pages). External link
Laperle, V., Ghorbani, E., Dollon, Q., & Gosselin, F. (2025). Digital twin of a pipe conveying fluid: flow rate anomaly detection and quantification via multi-fidelity kalman filters and event based cameras signals [Dataset]. External link
