Publications and Research
Document Type
Poster
Publication Date
12-4-2025
Abstract
While technology and awareness are advancing, a significant lack persists in how New York State utilizes innovative reports and enveloping contexts to envision solutions for textile waste, particularly evident in the context of interdisciplinary collaboration among fashion, technology, and construction design, a challenge that remains even with New York State's historical efforts in textile waste utilization (Tonjes, Manzur, Wang, Firmansyah, Rahman, Walker, Lee, Thomas, Johnston, Ly, Medina, Shi, Srivastava, Tucker, Maung, Thyberg, & Hewitt, 2024). Despite a more than nine hundred (900) percent increase in textile waste between 1960 and 2018, from 1,760,000 tons to 17,030,000 tons, current alternatives like recycling and combustion with energy recovery have had minimal impact, leading to a high demand for further repurposing solutions (EPA, 2024), and because most clothing is made of plastic in the form of commonly used synthetic fibers, it is one of the largest contributors to the annual plastic waste. Crucially, AI technologies offer potent tools for fostering more intelligent and sustainable practices, encompassing intelligent product design, optimized production, predictive consumer behavior analysis, and automated recycling processes (Iseal, 2025, p. 4-5), which suggests that AI is strongly positioned to aid in the integration of textile waste into New York's construction ecosystem.
Comments
This poster, first-place winner for STEM individual projects, was presented at the 43rd Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, Dec. 4, 2025. Mentor: Prof. Alyssa Adomaitis (Business).