Kais Al-Rawi, AIA
Adjunct Lecturer
Master of Emergent Technologies and Design, Architectural Association (AA), London BArchSc., Toronto Metropolitan University
Kais Al-Rawi, AIA works at the intersection of architecture, engineering and technology with expertise in solving complex building challenges through digital design. He is an Associate Director at the Los Angeles office of award-winning Structures and Facades practice Eckersley O'Callaghan. Kais was chosen in Airport Business Top 40 under 40 (2022). His experience was been leveraged on world-class projects including SoFi Stadium, Lucas Museum of Narrative Art, San Diego Airport T1 redevelopment, West Gates at LAX, Daily’s Place, New Orleans Airport, Orange County Museum of Art among others. He is a subject matter expert in computational design and its implementation in the AEC industry from concept to construction.
Kais holds a Master’s Degree from the Architectural Association (AA), London in Emergent Technologies and Design and is a graduate of Toronto Metropolitan University. His work has been published and presented internationally at conferences such as Advanced Building Skins, Facade Tectonics Institute (FTI), Association for Computer Aided Design in Architecture (ACADIA) and the International Association for Shell and Spatial Structures (IASS). Kais is an Adjunct Lecturer at the University of Southern California (USC) School of Architecture and has taught and directed the Architectural Association Visiting School programs in Los Angeles and Jordan with a focus on space architecture. He also served as a juror to NASA's centennial challenge competition for Martian habitats.
- 574Parametric DesignParametric DesignThis design seminar aims to investigate the parametric relationship between geometry and architecture element, in this case the relationship between the geometry of atrium and architectural circulation. We will begin by using parametric tools to examine existing architecture examples, which contains atriums and complex circulation systems, with the intention of exploring tensions, functions, and the spatial effects between them. Through this analyzation, students will construct their own geometrical narratives to express the parametric formal relationships of the subject of their studies. Thereafter, these geometrical narratives will be translated into iterations of physical models. This class consists of lectures and workshops, and will utilized both digital and physical media.