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This field examines how human activity and urban morphology interact in diverse contexts such as metropolitan centers, shrinking cities, and heritage areas. Using in-silico data such as GIS, Spatial Network Analysis or Digital Twin, combined with in-situ urban data, we identify specific needs to support adaptable, inclusive, and resilient city design.
Publications
This field explores vernacular architecture as a climate responsive system under contemporary pressures such as modernization and tourism threats. By combining architectural ethnography with computational simulations and field measurement of comfort parameters, we develop strategies that balance preservation, adaptation, and sustainability.
Publications
This field investigates human perception and engagement within architectural spaces at the sensory and cognitive level. Using eye-tracking technology, photography segmentation with spatial composition analysis, we translate the visual experience of the everyday into evidence-based architectural insights.
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This field applies analytical frameworks and machine learning to environmental engineering indicators to improve building and urban living conditions. We develop parameters linking spatial and environmental factors that inform constructions standards and give insight on healthy living for non-specialists to improve their living spaces.
Publications

© 2026 Kanlabo @Gkoliomyti A. (Notion) Department of Architecture Design, Interdisciplinary Faculty of Science and Engineering, Shimane University, Matsue Campus, Science Building 3, 7F, #705
Contact: Yen-Khang Nguyen-Tran Shimane University, 1060 Nishikawatsu-cho, Matsue City, Shimane, Japan, 690-8504 Tel: 0852-32-9717 (6357) Mail: khang.ntr[at]riko.shimane-u.ac.jp
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