Ahmed El Antably positions his research interests at the intersection of history, theory, and digital technology, where he examines these topics from a multidisciplinary perspective, continually crossing the boundaries between architecture, archaeology, anthropology, philosophy, and computer science. He is particularly interested in the perception of design media, virtuality, and gaming. Recently, he has been exploring the theoretical and practical potentials of emerging digital technologies, such as artificial intelligence and the metaverse, on the representation and perception of the built environment.
El Antably served as a Professor of Design Computation and Digital Heritage at the Arab Academy for Science, Technology, and Maritime Transport (AASTMT) in Egypt before joining the University of York. He also held the position of Dean of Education at the South Valley campus of the same institution for the past five years. Prior to his time at AASTMT, he completed his doctoral degree at the University of California, Berkeley, USA, in Design Theories and Methods, with a Designated Emphasis in New Media.
Ahmed El Antably is currently working on the Nubian Chronicles research project, which is funded by the British Academy Global Professorship Award (GP21/100218). The project proposes an innovative approach to reconstruct and preserve the lost cultural landscape of Lower Nubia, which the Aswan High Dam submerged in the 1960s. It utilises cutting-edge virtual heritage technologies to create an immersive and interactive digital reconstruction of Nubian villages and their surrounding environment. It critically employs Gen-AI to develop AI agents representing key Nubian characters, enabling users to engage in conversations that uncover suppressed narratives and collective memories, providing unique insights into Nubian daily life, architectural practices, and cultural traditions. Theoretically, the project builds on Pierre Nora's ‘Les lieux de mémoire’. Methodologically, it focuses on oral histories and integrates historical research and archival materials with advanced computational methods to address critical gaps in the current understanding of Nubian heritage.
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