Shouvik Bandopadhyay

MDAO of aero-propulsive architectures • Developed preconditioning techniques for high dimensional non-convex optimisation problems with general constraints • Implemented preconditioning for two problems: (i) Nacelle + Wing + Pylon aerodynamic shape optimization (ii) Aero-structural sizing of Wing • Accelerated aero-structural sizing optimization cycle by 70% and aerodynamic shape optimization cycle by 20X. • Published 2 peer-reviewed articles in Ecomass Aerobest 2025 and AIAA Aviation Forum 2025

Modelling of Acoustic Propagation for Sound Synthesis of Drones and VTOLs’ Flyover Noises | Master Degree End-of-study Internship • Performed LES simulations of propellers for quantifying near-field acoustic pressure field. • Derived new and improved algorithms for Open Air Acoustic Propagation of multi-rotors (6 factors) • Implemented the new algorithms and improved the accuracy of noise propagation from 71% to 93% • Co-authored a research article for the Forum Acosticum Conference 2023

Nacelle Optimization for Low Fan Pressure Ratio Turbofans and Study of the Slotted-inlet Concept (EU Project ULTIMATE) | Research Assistant • Created a low fidelity Python and Star-CCM+ surrogate model coupled with Body Force Modelling of inlet fan for rapid design and optimisation of engine nacelles • Optimised aircraft nacelle design via Gradient method using Multi-point (design and off-design) and Multi-Objective Approach • Reduced the time of design and optimisation cycle by a factor of 100X

Design and Development Engineer of Flying Wing Tilt Rotor e-VTOL UAV. Taiwan Education Experience Program (TEEP) Internship for the duration of the Fall semester of 2019. • Built an XFOIL+Python API for aerodynamic optimization of wing profile. • Developed a Python wrapper for modelling e-VTOL performance using Flight Data (based on OpenAP) • Manufactured and successfully tested the UAV prototype