This Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $275,008 to the University of Florida (UF) Division of Sponsored Research to create an AI-powered framework that helps designers automatically evaluate the environmental impact of their product designs and optimize them for sustainability.
The key innovations of this 3-year research project include: (i) developing novel graph attention network algorithms to extract lifecycle inventory data from existing product designs, (ii) creating advanced algorithms to accurately model product lifespan uncertainties for improved lifecycle assessment, and (iii) establishing a multi-criteria decision-making framework using reinforcement learning to simultaneously evaluate environmental and technical considerations. This integrated approach aims to transform sustainable design practices by overcoming challenges in data availability, prediction accuracy, and holistic decision-making. The research will be rigorously evaluated through applications in designing consumer electronics like smartphones, tablets, and laptops.
Generated 1/28/25, 6:55 AM