Under a TÜBİTAK 3501-funded project involving AYBÜ researchers, computer vision and deep learning methods will be used to accurately estimate 3D aggregate gradation distributions from 2D asphalt cross-sectional images.
A TÜSEB-funded project involving AYBÜ researchers aims to develop an innovative single-tube multiplex qPCR diagnostic kit, supported by explainable AI, for detecting mycobacteria and identifying clinically significant species in clinical samples.
The AYBU Software Engineering Department successfully hosted its 2026 Graduation Projects Exhibition, featuring innovative student projects and recognizing outstanding achievements through the Best Graduation Project and Best Poster awards.