Devrim Unay

Devrim Unay is a Professor in the Department of Electrical-Electronics Engineering at İzmir Democracy University. His research focuses on biomedical signal processing, medical imaging, and AI-driven solutions for healthcare and agriculture. He leads the AIDA (Artificial Intelligence and Data Analytics) Research and Application Center, advancing interdisciplinary projects such as automated cell analysis, tumor suppression nanomedicines, and fruit grading systems. Unay has authored over 50 peer-reviewed publications and contributed to initiatives like the EURASIP Journal on Advances in Signal Processing as an Associate Editor. His work includes datasets like WHAD/CAMAD and software frameworks like BIAFLOWS. He holds roles such as Chair of the IEEE Signal Processing Society’s Challenges and Data Collections Subcommittee.

• Education: Not explicitly stated in provided texts, inferred via academic rank and publications.

Research interests span AI applications in microscopy, CT imaging for disease detection (e.g., COVID-19), and nanomedicine. He leads projects funded by TEYDEB, including cloud-based image analysis tools for industrial applications. His articles emphasize image segmentation, deep learning pipelines, and interdisciplinary collaborations in neuroscience and agriculture.

• Key Projects: SSNOMBACTER database, Neubias bioimage analysis framework, and AI-driven fruit grading systems.

Unay’s contributions include organizing conferences like TıpTekno’22 and serving on technical committees such as IEEE BISP TC and Tübitak ARDEB.