Mustafa Orhan

Background

About Mustafa Orhan

Aerospace Engineer | Flight Control Systems | Dynamic Modeling & Simulation | Machine Learning I am a dedicated Aerospace Engineer with a robust background in flight control systems, dynamic modeling, and advanced computational techniques. My experience spans classical and learning-based approaches, with a strong focus on the modeling and simulation of aircraft and spacecraft Master’s thesis topic: Classic and Learning-Based Flight Control Systems, developing learning based (using Gaussian Processes) control systems for quadrotor dynamics, additionally covering topics such as model identification and quad-rotor dynamic (Froude) scaling, further solidifying my expertise in cutting-edge aerospace technologies. Currently, I am working at G2Q Computing where I specialize in: Developing machine learning and optimization algorithms in the Aerospace, Finance, and Mining sector. Modeling and simulation of aircraft and spacecraft dynamics. Estimation and calibration of parameters using telemetry data collected from aerospace systems. System identification and optimization algorithms to improve system performance. Application of statistical methods and machine learning algorithms to enhance predictive accuracy and decision-making in complex aerospace and financial systems. My passion lies in solving challenging problems in aerospace engineering using innovative techniques and interdisciplinary approaches. With a blend of theoretical knowledge and hands-on experience, I aim to contribute to the advancement of next-generation aerospace technologies.