Ro Gul

Contribute to the conceptual design of unmanned aircraft systems (UAS) through open-loop static and dynamic stability analysis, performance evaluation, and controllability assessments of the underlying dynamical models Lead the development of six degree of freedom (6DoF) nonlinear models for autonomous aircraft systems in MATLAB and Simulink, incorporating aerodynamic, propulsive, and inertial characteristics using CFD and CAD software Conduct simulations on the models under parametric uncertainty to evaluate robustness and dynamic behavior

Technical Lead Flight Dynamics & Controls at NaqCoDE Technologies (2024-07 – Present)

• Contribute to the conceptual design of unmanned aircraft systems (UAS) through open-loop static and dynamic stability analysis, performance evaluation, and controllability assessments of the underlying dynamical models
• Lead the development of six degree of freedom (6DoF) nonlinear models for autonomous aircraft systems in MATLAB and Simulink, incorporating aerodynamic, propulsive, and inertial characteristics using CFD and CAD software
• Conduct simulations on the models under parametric uncertainty to evaluate robustness and dynamic behavior
• Lead the design and development of guidance, navigation, and control algorithms for autonomous aerial vehicles, with emphasis on robustness, high accuracy, and fault-tolerant performance
• Use optimal control methods for trajectory optimization for dynamics models that have multiple path constraints
• Build controller models using Simulink with hardware inspired frequency modeling to be used for initial testing
• Build and test sensor fusion algorithms for state estimation in GPS denied environments/ failure scenarios
• Develop and maintain autopilot firmware in C++ on embedded flight controller hardware, implementing control and estimation algorithms for real-time execution
• Oversee development of communication protocols and hardware-layer interfaces (drivers, peripherals, sensor/actuator) for reliable data exchange between firmware and onboard hardware
• Develop simulation environments for testing control algorithms on aircraft dynamical models using MATLAB, C++, and Python
• Conduct SIL simulations incorporating disturbance inputs and parametric uncertainties to evaluate robustness and ensure real-world fidelity
• Conduct Processor-in-the-loop testing for flight stack code on hardware
• Oversee the design and implementation of embedded software for executing control algorithms on hardware platforms
• Plan and execute flight test campaigns for UAS to test control algorithms and assess system performance under real-world conditions and uncertainties
• Implement flight data logging and telemetry systems for real-time monitoring and post-flight analysis
• Develop post-flight data analysis software to identify key performance parameters and extract features for system identification
• Analyze flight data to perform system identification for the flight dynamics models

Master of Science in Aeronautics & Astronautics – Purdue University (2022-08 – 2024-05)

Bachelor of Science in Aerospace Engineering – Institute of Space Technology (2017-09 – 2021-08)