Ai4CUAV – Innovative AI-framework to enable the detection, classification, and tracking of killer-drones

This groundbreaking initiative, marking the first NATO project for the International University of Sarajevo (IUS), that will last for 30 months, brings together a diverse consortium of academic institutions and law enforcement agencies from NATO and partner countries. The primary objective of the Ai4CUAV project is to develop a sophisticated Threat Evaluation Subsystem aimed at bolstering anti-drone defenses. Leveraging state-of-the-art AI algorithms, meticulously crafted to analyze radar signals and Electro-Optical/Infrared (EO/IR) images, the project seeks to expedite and enhance the detection, classification, and tracking of hostile UAVs. By discerning unique flight patterns, the system will distinguish drones from other airborne entities, thereby fortifying defenses against aerial threats.

At its inception, the core team at IUS comprises Dr. Tarik Namas, Electrical and Electronics Engineering Program Coordinator, Dr. Özge Büyükdağlı, Software Engineering and Artificial Intelligence and Data Engineering Program Coordinator, and Anes Hadžiomerović, MSc. Adjunct Instructor from Electrical and Electronics Engineering program.  As the project progresses, it is poised to expand further, welcoming additional professors from the fields of Computer Sciences and Engineering, Software Engineering, Artificial Intelligence, and Data Engineering programs. This expansion promises to enrich the project's interdisciplinary approach and propel it toward even greater innovation and efficacy.