Abhinav Khedkar

• Developed of Physics-Informed Neural Network based surrogate aimed towards replacing complex FEM simulations for uncertainty quantification. • Innovated a novel deep learning-based constitutive modelling approach for multiscale simulations. • Implemented a data-driven computational mechanics framework replacing empirical material modelling. • Implementation of user-defined constitutive models in FEAP and Ansys. • Robust design optimization of hybrid reinforced concrete slabs towards impact resistance.

• Development and modelling of additively manufactured components in gas turbines for high- temperature loads. • Formulated RVE to accurately simulate the components in Ansys for multiscale simulations. • Development of a machine learning model for parameter estimations. • Implementation of a complex framework to study the long-term behaviour of the additively manufactured components.

• Fatigue Analysis of materials and concrete specimens using resonance-based testing. • Development of MATLAB script to process data and evaluate results. • Design of Experiment to develop a fatigue model accurately capturing the experimental conditions.

• Tutor for the Faculty of Civil Engineering • Guidance for international and exchange students at the beginning of their studies • Presentation of tutorials aimed to ease the process of settling in Germany

• Construction of a hollow core carbon textile reinforced beam

• Worked as site engineer for a residential project comprising of 92 apartments and 8 commercial spaces. • Co-ordinated with various consultants working on the project to get the project completed as per Indian Standard Codes