2nd Track : Rethinking the Mosque Architecture of the Future
Role/Contribution
Author with
Husm Bakr
Mohamed AbdelShakour
Research paper Title
Integrating Generative AI in Mosque Interior Design: An Empirical Approach to Mood and Ambience Optimization
Personal Biography
Prof. Ismail is a professor of Environmental Planning and Design. He is a Fulbright scholar with a Ph.D. from the Ohio State University, the USA in 1998 and holds two Masters, one from UCL in 1991 and the other from OSU. He is a certified planner of the American Institute of Certified Planners. He earned his bachelor’s degree in architectural engineering from Cairo University.
Prof. Ismail served twice as the Architecture Department Chairperson at the Faculty of Engineering at Fayoum University. He taught at the CAAD (College of Architecture, Arts and Design) at the American University of Sharjah (AUS) and the College of Environmental Design at King Abdulaziz University (Jeddah). He traveled around the globe and was awarded several post-doctoral scholarships including DAAD Deutsche Academic Exchange Junior Scientist Grant (in Koln, Germany), the Erasmus Mundus EU Fellowship in ITC (Holland), and the Chinese Government Scientist Award in (Wuhan, China). He served as the Program Director of the School of Business at Nile University. His research is in Urban Development, Innovation in Architecture Education, and GIS. He is the founder of the Architects Got Talent which was taught at MSA/Greenwich, MUST, and Cairo University. His practice covers consulting a wide range of planning projects in local private and international planning projects including for the UNDP, UNEP, Swiss Development Fund, and World Bank as well as the General Organization for Physical Planning, Ministry of Planning, Ministry of Irrigation, and the Arab League.
He has published over 45 papers in international journals and conferences. His philosophy of teaching that guided his career is “involve me and I understand”.
Paper Abstract
Many modern mosque users complain that while the exterior form of the mosque may be attractive as an architectural symbol, the design of the interior seem less effective in conveying the serenity and pious mood a mosque requires. This may be due to the lack of design tools that can create different design alternatives that respond to uses perceptions.
Generative AI has revolutionized architectural and interior space design. Deep generative models have significantly expanded the efficiency of the design process. Generative AI provide numerous alternatives to interiors. Several AI powered design tools are already available with diverse outcomes.
AI algorithms can suggest numerous interior design alternatives based on layout, form, color, lighting, textures and material preferences. It can also be utilized to respond to definitive mood prompts.
This study explores the effectiveness of using AI in creating interior mosque architecture. It investigates the degree of success to which such applications can produce mosque interior designs that fulfill respondents’ mood and design preferences by questioning common users, and design professionals about the results of the AI generated designs.
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