DR Ali Maghami successfully defended on 22nd, May 2026 his PhD thesis in Mechanical Engineering and he was selected as the best thesis of his PhD cohort.<\/p>\n
In the thesis, entitled \u201cMechanical Design of Soft Viscoelastic Adhesive Interfaces via Physics-Guided Data-Driven Modeling\u201d, Ali studied soft viscoelastic adhesive interfaces and developed different analytical, numerical, and machine learning models to understand and predict their behavior.<\/p>\n
The real value was in learning how to combine these approaches, understand where each one works or fails, and move toward physics-guided data-driven modeling as a more reliable route for designing future adhesive interfaces.<\/p>\n
The thesis is available here https:\/\/hdl.handle.net\/11589\/301540<\/a>.<\/p>\n This work was supported by the European Union through the ERC Starting Grant project SURFACE \u2014 \u201cTowards Future Interfaces With Tuneable Adhesion By Dynamic Excitation\u201d (Project ID: 101039198, CUP: D95F22000430006).<\/p>\n","protected":false},"excerpt":{"rendered":" DR Ali Maghami successfully defended on 22nd, May 2026 his PhD thesis in Mechanical Engineering and he was selected as the best thesis of his PhD cohort. In the thesis, entitled \u201cMechanical Design of Soft Viscoelastic Adhesive Interfaces via Physics-Guided Data-Driven Modeling\u201d, Ali studied soft viscoelastic adhesive interfaces and developed different analytical, numerical, and machine…
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