Bingöl, Türkiye
As an Aerospace Engineering graduate from Necmettin Erbakan University with a GPA of 3.30/4.0, I have developed a strong technical foundation in flight control systems, dynamic modeling, and autonomous algorithms through high-impact roles in the aerospace and defense sectors. My professional focus lies in the optimization of control architectures and advanced simulation of aerial platforms. During my tenure at Turkish Aerospace Industries (TAI) on the Hürjet project, I specialized in air data calibration and PID parameter optimization using the Artificial Bee Colony (ABC) technique. My experience at Baykar further allowed me to leverage Python and C++ for mission development while conducting extensive 6DOF modeling and control algorithm testing within ROS, Gazebo, SITL, and HITL simulation environments. I also engineered computer vision solutions, including YOLO and OpenCV-based precision landing and GPS-independent velocity estimation systems. On the R&D front, my TÜBİTAK 2209-B funded research on modeling variable-pitch propeller performance via neural networks was published at the UHUK 2024 National Aerospace Conference. Proficient in Matlab, Simulink, Catia V5, and Solidworks, I am driven to contribute to the next generation of aviation technologies through innovative engineering and analytical excellence.
Our project is the modeling of the dynamic thrust and torque of the variable pitch angle propeller, system identification, flight performance analysis and the design of a controller for propeller angle thrust control. In our project, we receive technical support from Baykar and financial support from TUBITAK within the scope of 2209-B. As a result of this project, it is expected that flight performance will increase by changing the pitch angle of propeller.