Novel Asphalt Prediction Model Earns Third Place at Polymer Summit

We are pleased to announce that our laboratory has achieved significant recognition at the 15th International Fiber and Polymer Research Symposium. The ModelingLaboratory, under the leadership of Assoc. Prof. Dr. Uğur ÖZVEREN, has been awarded third place in the Best Poster category for our research titled “Prediction of Marshall Strength in Polymer-Modified Thin-Layer Asphalt Using Decision Tree Regression and Bayesian Optimization.”

This research demonstrates our laboratory’s innovative approach in combining advanced machine learning techniques with materials science to enhance asphalt technology. The study showcases the implementation of Decision Tree Regression methods and Bayesian Optimization techniques for analyzing Polymer-Modified Thin-Layer Asphalt, contributing to the development of more efficient and sustainable road construction materials.

The International Fiber and Polymer Research Symposium is a prestigious gathering of researchers and experts in the field of polymer science and technology. This recognition at the 15th edition of the symposium reflects our laboratory’s commitment to excellence in research and innovation, underlining our dedication to advancing the field of polymer research and its practical applications in civil engineering.