Ching-Long Lin

Ching-Long Lin serves as a Professor in the Department of Mechanical Engineering within the College of Engineering at the University of Iowa. His academic work centers on computational modeling of respiratory airflow and aerosol dynamics, with direct applications to pulmonary diseases including asthma, COPD, and post-COVID-19 conditions.

Professor Lin's research integrates computational fluid dynamics (CFD) with quantitative medical imaging (CT/SPECT) to develop subject-specific models of lung function. Key focus areas include particle deposition patterns in diseased airways, structural-functional relationships in airway remodeling, and cluster-based phenotyping of respiratory diseases. His methodology frequently employs machine learning for image analysis and disease stratification, with strong emphasis on translating computational findings into clinical insights for personalized medicine approaches.

Analysis of his recent publications (2024-2025) reveals three dominant research thrusts: (1) cluster-guided analysis of asthma/COPD phenotypes using imaging and CFD, (2) investigation of post-COVID-19 lung abnormalities through unified modeling frameworks, and (3) development of advanced computational techniques including graph neural networks for airway mesh processing. His work consistently demonstrates how structural alterations detected via quantitative CT correlate with functional impairments in ventilation and particle transport.

No scientific awards were documented in the source materials.

Details regarding Professor Lin's student mentorship activities and external research funding sources were not provided in the available documentation, though his extensive publication record suggests active collaboration with clinical research programs including the Severe Asthma Research Program (SARP3) and SPIROMICS.