Mohammad Mahdi Fakhimi is a Ph.D. Researcher in Interior Design, focusing on Human-Centered Design and Sustainability. With an extensive background in architecture and over a decade of teaching and professional experience, his innovative designs have earned national and international recognition. He has authored three books and served as a jury member in various international design competitions, awards, and conferences. His research is dedicated to examining human behavior, environmental psychology, and sustainable design to enhance health and wellbeing through emerging technologies and innovative design solutions.

Keywords: Artificial Intelligence (AI), Extended Reality (XR), Human-Centered Design, Architectural Optimization, Spatial Analysis.

Integration of AI and XR in Optimizing Human-Centered Architectural Spaces: A Scoping Review.

This was collaborative research, focusing on the integration of Artificial Intelligence (AI) and Extended Reality (XR) to enhance architectural design. The study highlights the potential of AI and XR to personalize and optimize design processes while incorporating human-centered principles. It also notes a significant research gap in the comprehensive application of AI and XR for optimizing existing spaces, suggesting a promising future research direction that could revolutionize architectural practices.

Keywords: Artificial Intelligence (AI), Extended Reality (XR), Human-Centered Design, Architectural Optimization, Spatial Analysis.

Published: International Conference on Architecture and Alternative Design Solutions (ICAADS - 24), March 2024, San Antonio, USA.

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Emily Seifert is a Ph.D. Human Factors & Ergonomics student with a bachelor in science and Masters in Apparel Design from the UMN.

She has around eight years of experience working as a researcher in various industries, and currently working in Human Dimension lab at UMN. Emily's research supports workspace, wearable product, and medical product design innovation through mixed methods research approaches to provide safer, more equitable environments and products.

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Minji Yu is a Ph.D. Apparel Studies student with a bachelor's and master’s in Clothing and Textile from the Ewha Womans University.

She worked as a research scientist intern at Meta Reality Labs, where she researched the fit and wearability of VR wearable products. Minji’s research focuses on advanced wearable product development with the integration of technologies such as 3D body scanning, virtual simulation, and 3D CAD.

Keywords: VR/AR wearables, medical and protective wearable product development, smart clothing, anthropometry, 3D body scanning, 3D apparel visualization, fit, wearability

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