Dr. Yiğit Ali Üncü is an Associate Professor at the Department of Biomedical Equipment Technology, Akdeniz University, Turkey. He holds a B.Sc. degree in Biomedical Engineering from Başkent University (2009), an M.Sc. in Medical Physics from Ankara University, and a Ph.D. in Biophysics from the Faculty of Medicine at Akdeniz University (2015–2020). His multidisciplinary research spans nuclear medicine, artificial intelligence applications in nuclear data prediction, medical imaging, biomedical optics, and the development of biomedical devices.
He has published articles in high-impact, peer-reviewed journals indexed in SCI/SCI-E, contributed book chapters, and presented papers at national and international scientific conferences. He serves on the editorial boards of several academic journals and regularly acts as a reviewer for publications in medical physics, nuclear engineering, and biomedical image analysis.
His ongoing projects include next-generation medical device development (e.g., digital occlusal analysis systems, compact cyclotrons, nebulizers), AI-based segmentation of CT and MRI data, and theoretical studies in astrochemistry and carbon nanostructures as part of the NanoSpace initiative. He also actively participates in the evaluation of national research funding projects under TÜBİTAK and TÜSEB.
Dr. Yiğit Ali Üncü is an Associate Professor at the Department of Biomedical Equipment Technology, Akdeniz University, Turkey. He holds a B.Sc. degree in Biomedical Engineering from Başkent University (2009), an M.Sc. in Medical Physics from Ankara University, and a Ph.D. in Biophysics from the Faculty of Medicine at Akdeniz University (2015–2020). His multidisciplinary research spans nuclear medicine, artificial intelligence applications in nuclear data prediction, medical imaging, biomedical optics, and the development of biomedical devices.
He has published articles in high-impact, peer-reviewed journals indexed in SCI/SCI-E, contributed book chapters, and presented papers at national and international scientific conferences. He serves on the editorial boards of several academic journals and regularly acts as a reviewer for publications in medical physics, nuclear engineering, and biomedical image analysis.
His ongoing projects include next-generation medical device development (e.g., digital occlusal analysis systems, compact cyclotrons, nebulizers), AI-based segmentation of CT and MRI data, and theoretical studies in astrochemistry and carbon nanostructures as part of the NanoSpace initiative. He also actively participates in the evaluation of national research funding projects under TÜBİTAK and TÜSEB.