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TEKNOFEST Model Satellite Competition is an interdisciplinary engineering competition organized to increase young people’s interest in space and satellite technologies in line with Türkiye’s National Technology Initiative vision and to enhance their technical and scientific competencies in this field. Held as part of the TEKNOFEST Aviation Space and Technology Festival, the competition provides participants with the opportunity to experience processes such as the design, production, integration,

Full Authority Digital Engine Control (FADEC) is an integrated electronic system that provides complete digital control of gas turbine engines in modern aircraft. FADEC is a software-based control system that digitally monitors and manages all engine operating parameters to achieve optimal performance without requiring pilot intervention. This system real-time controls and regulates all processes necessary for engine operation including fuel injection, compressor and turbine geometry, ignition a

Unmanned Aerial Vehicles (UAVs) have a broad range of applications in both military and civilian domains today. These systems play critical roles in missions such as reconnaissance, logistics, emergency situation response, and border security. With increasing digitalization, they are becoming more vulnerable to cyber security threats. The cyber security of UAVs is directly linked to threats such as GPS spoofing, data communication disruptions, authentication attacks, and software vulnerabilities

KASHIF is a modular Geographic Information System (GIS) solution developed by HAVELSAN. It consists of three main modules: separate client libraries for desktop and web applications (KASHIF-J and KASHIF-W) and a server component (KASHIF-S). Its purpose is to provide situational awareness by collecting processing and visualizing real-time and historical geospatial data for land sea and air operations. History and Development Process The foundations of KASHIF were laid in the late 1990s through GI

Tiny Machine Learning (TinyML) is a technology field that enables the execution of machine learning algorithms on low-power embedded hardware. This field makes it possible for artificial intelligence models, which traditionally require high computational power, large memory capacity, and significant energy consumption, to operate on devices with limited resources such as microcontrollers. In this context, TinyML forms the foundation of next-generation intelligent systems by integrating the compu