Nguyen Son Hoang

• Model Enhancement: Proposed and implemented improvements to neural network model. • Identify limit of ROPS model and propose a design improvement solution, • Analyze aircraft flight dynamic at landing phase to obtain the optimal learning model. • Develop some tools to Improve post-treatment methods for ROPS model and perform validation for system. •Prepare datasets, perform statistical analyses •Design algorithms (optimization, feature extraction, retrieval, etc.) •Visualize and interpret results. •Train Deep Learning models to optimize the runway overrun prevention system model

Designed electrical circuits to efficiently distribute energy fromthe battery to various components including sensors, motors, andactuators. Programmed battery management system, inverter. with adruino

•Conducted extensive research and implemented a backsteppingcontroller, followed by MATLAB simulations to evaluate itsperformance on a dynamic drone system under diverse externaldisturbances. •Write two papers and publish on two different conference as the first author •Select and validate sensors for prototype drones •Development of Kalman data filters to fuse IMU, and GPS data •Tuning of non-linear control laws to eliminate drone uncertainties •Provide versions of algorithms and monitor their integration on board the drone •Identifying drone dynamics using MIMO modeling based on real flight data. •Performing signal processing using spectral analysis and filtering flight data from drone sensors to extract essential dynamic characteristics using Matlab (FFT, low-pass filters).