معرفی
Selda Güney is an Assistant Professor in the Department of Electrical and Electronics Engineering at Başkent University's Faculty of Engineering. She holds a PhD (2013), Master's (2007), and Bachelor's (2004) in Electrical-Electronics Engineering from Karadeniz Technical University. Her professional experience includes roles as an R&D Engineer at DEKA Digital (2004-2005), Research Assistant at Karadeniz Technical University (2005-2013), and Assistant Professor at Başkent University (2013-present).
Her research spans:
- Machine Learning: Applications in medical imaging, radar, and industrial systems
- Signal/Image Processing: Focus on real-time classification and fault detection
- Pattern Recognition: Electronic nose systems and biometric analysis
Her recent publications demonstrate strong emphasis on deep learning applications in healthcare (chest X-ray classification, fracture detection) and industrial automation (real-time fault detection systems). Over 70% of her last 15 articles involve medical/industrial AI implementations using convolutional networks.
Awards & Honors:
- TÜBİTAK Domestic PhD Scholarship
- IBEC ERASMUS Scholarship
Research Leadership: Supervised 20+ graduate theses (e.g., radar data classification, medical image steganography) and led 9 R&D projects including:
- AI-based pathology classification in lung X-rays
- VR glove development
- Smart parking systems
She is a member of IEEE and ISOCS, and teaches courses including Pattern Recognition, Signals and Systems.
