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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.
Blais-Ouellette, S., Rooney, D., Heller, D. A., Roxbury, D., Leblond, F., & Akbarzadeh, A. (2022). (Invited) Advances in Swir In Vivo Fluorescence Imaging Instrumentation. Meeting abstracts, MA2022-01(8), 676-676. External link
Niknam, H., Akbarzadeh, A., Therriault, D., & Bodkhe, S. (2022, July). Additively manufactured thermally bistable structures [Paper]. 12th Canadian-International Conference on Composites (CANCOM 2022), Fredericton and Moncton, Canada. External link
Akbarzadeh, A., Edjlali, E., Sheehy, G., Selb, J., Agarwal, R., Weber, J., & Leblond, F. (2020). Experimental validation of a spectroscopic Monte Carlo light transport simulation technique and Raman scattering depth sensing analysis in biological tissue. Journal of Biomedical Optics, 25(10), 105002 (19 pages). Available
Akbarzadeh, A., Kafesaki, M., Economou, E. N., Soukoulis, C. M., & Crosse, J. A. (2019). Spontaneous-relaxation-rate suppression in cavities with PT symmetry. Physical Review A, 99(3), 033853 (8 pages). External link
Wang, X., Akbarzadeh, A., Zou, L., & Caloz, C. (2018). Flexible-resolution, arbitrary-input, and tunable rotman lens spectrum decomposer. IEEE Transactions on Antennas and Propagation, 66(8), 3936-3947. External link
Akbarzadeh, A., & Caloz, C. (2018, July). Gaussian Beam Diffraction by the Inverse Prism [Paper]. IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, Boston, MA. External link
Akbarzadeh, A., Chamanara, N., & Caloz, C. (2018). Inverse prism based on temporal discontinuity and spatial dispersion. Optics Letters, 43(14), 3297-3300. External link
Wang, X., Akbarzadeh, A., Zou, L., & Caloz, C. (2018). Real-time spectrum sniffer for cognitive radio based on Rotman lens spectrum decomposer. IEEE Access, 6, 52366-52373. Available
Deck-Léger, Z.-L., Akbarzadeh, A., & Caloz, C. (2018). Wave deflection and shifted refocusing in a medium modulated by a superluminal rectangular pulse. Physical Review B, 97(10), 7 pages. External link
Akbarzadeh, A., & Caloz, C. (2017, August). Force tracing and its application in optical manipulation [Paper]. 32nd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS 2017), Montréal, Québec (4 pages). External link
Akbarzadeh, A., & Caloz, C. (2017, August). Force tracing: a method to sculpt the optical force [Paper]. Optical Trapping and Optical Micromanipulation XIV, San Diego, California (10 pages). External link
