Yu‐Hao Lin

National Yunlin University of Science and Technology, National Chung Hsing University

Papers

Total Citations

385

H-Index

About

Yu-Hao Lin is a leading researcher at the intersection of artificial intelligence and environmental sustainability, specializing in the application of deep learning to waste management and recycling. His most significant contributions lie in developing optimized convolutional neural networks (CNNs) for automated waste classification and real-time detection. Lin’s seminal 2020 paper, "Recycling waste classification using optimized convolutional neural network," has garnered over 268 citations, establishing a foundational framework for intelligent sorting systems. He further advanced the field with a 2022 study on deep learning networks for real-time regional domestic waste detection (99 citations), enabling practical, on-site deployment of AI-driven waste recognition. His 2023 work on developing an intelligent municipal solid waste sorter for recyclables (18 citations) demonstrates a continued commitment to translating research into tangible environmental solutions. By bridging computer vision with circular economy goals, Lin’s research directly addresses critical challenges in waste segregation, offering scalable, automated approaches that reduce landfill burden and enhance recycling efficiency. His work is essential reading for researchers and engineers seeking to deploy AI for sustainable urban infrastructure.