Aswin Padmanabhan

Background

About Aswin Padmanabhan

I have over thirteen years of experience in Multiphysics modeling and engineering analysis. My passion lies in solving mechanical engineering challenges through the development of physics-based mathematical models. My expertise spans the development of Multiphysics simulations and numerical models for a wide range of problems, including Computational Heat Transfer, Structural Mechanics, Thermo-Mechanical analysis, and Microstructural and Phase Evolution studies. I have successfully executed projects across multiple domains and cultivated advanced skills in commercial CAE environments such as COMSOL Multiphysics, ANSYS products, Dassault Systems (Abaqus, 3DEXPERIENCE Plastic Engineering), and Hexagon solutions (Simufact AM, Forming, Digimat AM, Digimat Multiscale) etc. In addition, I possess extensive proficiency in programming tools like MATLAB, GNU Octave, Python, and C++, along with a robust background in experimental studies and analysis. Beyond physics-based models, I also utilize machine learning algorithms and neural networks to develop surrogate models that streamline studies, enhance predictive capabilities, and improve quality classification, I'm passionate about expanding this hybrid approach, integrating physics-based models with data-driven techniques to tackle innovative challenges in mechanical engineering. Feel free to connect to discuss potential collaborations and exciting opportunities.