I am Amol Vivek Kulkarni. I came from India. It was my attraction of supercars revving engines and the fast-flying military aircrafts that motivated me to undertake the bachelor’s course in mechanical engineering offered by the Savitribai Phule Pune University.
All through my undergraduate training, Simulation, Design and Analysis held a special place for me. I participated in the student formula SUPRA event, where I gained hands-on experience of modelling and simulation of air intake manifold and powertrain components of an IC engine using commercial softwares. My participating in the student formula event strengthened my determination to pursue a master’s course in computer aided engineering domain.
To explore my research interests, I undertook the master’s course of Computational Mechanics of Materials and Structures (COMMAS) at the university of Stuttgart. I undertook my master’s thesis which focused on developing a machine learning based interatomic potential to perform molecular dynamics simulations. Through this work, I developed and implemented a data-driven workflow to train and validate the machine learning model for performing solid solution hardening simulations of Nickel superalloys.
The research based and multidisciplinary orientation of my master’s course and my research projects motivated me to pursue doctoral studies focused on scientific as well as industrial problems. Through the THREAD program, I will be focusing on the simulation and analysis of wire harnesses. Working at the University of Liège in such a well-provided environment with cutting-edge infrastructure is indeed a very motivating and satisfying experience for me. I am sure that I can learn from and contribute to the THREAD project and also interact and collaborate with new and inspiring people.