Seminar on Scientific Machine Learning for Engineering Applications (16.04.2026)
16.04.2026

On April 16, 2026, Asst. Prof. Dr. Ali Fallah delivered a seminar titled “Scientific Machine Learning for Engineering Applications: From PINNs to Neural Operators” at the Department of Automotive Engineering, Atılım University . The seminar introduced emerging approaches in scientific machine learning, focusing on how physics-informed models can enhance data-driven engineering analysis. It provided an overview of the limitations of traditional machine learning methods in engineering applications and highlighted the need for integrating physical laws into learning frameworks.

The presentation covered key methodologies such as Physics-Informed Neural Networks (PINNs) and Neural Operators, including DeepONet and Fourier Neural Operators, emphasizing their capabilities in solving complex partial differential equations and enabling fast, parametric simulations . The seminar also discussed current challenges and future research directions in the field, offering valuable insights for students and researchers interested in advanced computational methods, digital twins, and AI-driven engineering solutions.