College of Forestry

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Research Proposal 2. R-02-NA: Data-Driven Prediction of Adhesive Bond Performance in Veneer-Based Wood Products

 

PI: Vahid Nasir | Site: Oregon State University

Develop a data-driven framework for predicting bonding performance in veneer-based wood composites using heterogeneous data sources. The project aims to move beyond case-specific studies by integrating dispersed knowledge into a unified, decision-support tool for adhesive and process optimization.