Research Groups:
Aerodynamics of Aircraft at ISM
Multiphysics at IFL
Multidisciplinary Optimization (MDO), Probablistic Machine Learning, Laminar Wings, Composite Structures
Hi, I am Samarth Kakkar. I was born and raised in the famous architectural city of Chandigarh in India. During my childhood, I developed a passion for Jet Engines which motivated me to pursue my bachelor's in mechanical engineering from Punjab Engineering College (PEC) in Chandigarh, India. Following my interests, I pursued an internship in the field of computational fluid dynamics applied to aerodynamic and propeller flows during my bachelor's at Newspace Research and Technologies, Bangalore, one of the leading UAV startups in India. I did my bachelor's thesis in propeller design for slow-flying quadcopters. After my bachelor's, I moved to the Netherlands to pursue my master's in the field of energy, flow and process technology from TU Delft. In my master's thesis, I worked in the interdisciplinary field of scientific machine learning (SciML) applied to fluid flows, where my goal was to develop a deep learning pipeline for instantaneous flow field evaluations on varying airfoil geometries using auto-encoders coupled with phyics-informed neural networks (PINNs).
For my doctoral thesis at the Institute of Fluid Mechanics (ISM) and the Institute of Aircraft Design and Lightweight Structures (IFL), TU Braunschweig, I am working on the aero-structural optimization of the wings and the aerodynamic design of the fuselage for a hydrogen-powered aircraft under the H2AVIA collaboration.