Exhibition
Location
Bibliowicz Family Gallery
Milstein Hall
M–F, 8 a.m.–4:30 p.m.
Contact
Exhibitions and Events
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Abstract
In the ever-evolving landscape of design, the image has emerged as a primary vessel for preserving and representing experiences. Textiles, Decoded delves into the significance of image in design preservation and explores the response of artificial intelligence (AI) to this paradigm shift. The exhibition shows how AI perceives and interprets the complexities of cultural textiles and asks how these perceptions can influence cultural aesthetics. Simultaneously, the exhibitors question the relevance of physical textiles in an increasingly digital world, examining their enduring significance amidst technological advancements. Furthermore, the exhibition explores the concept of biases inherent in image training and the role of the designer as AI flourishes.
Textiles, Decoded offers a thought-provoking exploration of design identity in the digital age, inviting visitors to reconsider the role of image, textiles, and AI in shaping our collective understanding of cultural heritage and design expression.
Funding is provided by Cornell Council for the Arts and Backslash at Cornell Tech.
Biographies
Lauren Greene
Lauren Greene (M.S. DT ’25) is a licensed architect from Louisiana. Her work explores the synergy between digital tools and traditional crafts, emphasizing how emerging technologies and hands-on making can enrich one another. Grounded in material experimentation and collaborative processes, her practice challenges rigid disciplinary boundaries, integrating computational methods with tactile, human-centered approaches to design. Her current research investigates historic fashion and textile techniques and their potential use at an architectural scale to enhance aesthetics, structural performance, and acoustics.
Zeiad Amin
Zeiad Amin (M.S. DT ’25) has a background in architecture and computer science. His work explores the intersection of computational design, cultural aesthetics, and structural performance, focusing on how digital tools encode and reinterpret design preferences. Through computational workflows, he examines the role of the image in design and how emerging technologies mediate the relationship between quantitative and qualitative design considerations.
Ramy ElMallah
Ramy ElMallah is a mechatronics engineer and AI expert with a deep passion for the intersection of technology, society, and creative expression. Currently pursuing a Ph.D. at the University of Toronto, his research focuses on AI applications in vision and robotics, blending technical expertise with a curiosity for how machines interpret and shape the world around them.
Madison Feely
Madison Feely (B.S. ’26) is an undergraduate student pursuing a degree in Fiber Science and Apparel Design. She is passionate about fiber arts and textile design and strives to bring ideas to life through the tactile experience of textiles.
