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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.
Bahrami, S., Khelghatibana, M., Tribes, C., Yi Lo, S., von Fellenberg, S., Trépanier, J.-Y., & Guibault, F. (2017). Application of a territorial-based filtering algorithm in turbomachinery blade design optimization. Engineering Optimization, 49(2), 216-234. External link
Bahrami, S., Tribes, C., Devals, C., Vu, T. C., & Guibault, F. (2016). Multi-fidelity shape optimization of hydraulic turbine runner blades using a multi-objective mesh adaptive direct search algorithm. Applied Mathematical Modelling, 40(2), 1650-1668. External link
Bahrami, S. (2015). Multi-Fidelity Design Optimization of Francis Turbine Runner Blades [Ph.D. thesis, École Polytechnique de Montréal]. Available
Bahrami, S., Tribes, C., Fellenberg, S. , Vu, T. C., & Guibault, F. (2015). Physics-based Surrogate Optimization of Francis Turbine Runner Blades, Using Mesh Adaptive Direct Search and Evolutionary Algorithms. International Journal of Fluid Machinery and Systems, 8(3), 209-219. External link
Bahrami, S., Tribes, C., Von Fellenberg, S., Vu, T. C., & Guibault, F. (2014, September). Multi-fidelity design optimization of Francis turbine runner blades [Paper]. 27th IAHR Symposium on Hydraulic Machinery and Systems, IAHR 2014, Montréal, QC, Canada. Published in IOP Conference Series: Earth and Environmental Science, 22. External link
Bahrami, S., Tribes, C., Devals, C., Vu, T. C., & Guibault, F. (2013, July). Multi-Objective optimization of runner blades using a multi-fidelity algorithm [Paper]. ASME Power Conference, Boston, MA. External link
Bahrami, S., Beigi, H. M., & Sabour, M. H. (2011, December). Experimental study of an internal heat exchanger influence on R134a automobile air conditioning system [Paper]. Regional Conference on Automotive Research, ReCAR 20111, Kuala Lumpur, Malaysia. External link
