Ümit Güz

Prof. Dr. Ümit Güz serves as a full-time Professor in the Department of Electrical and Electronics Engineering at Işık University's Faculty of Engineering and Natural Sciences. With over two decades of academic experience, his expertise spans biomedical signal processing, speech technology, and machine learning applications.

Education:

• Post-Doc (2006-2007): SRI International, Menlo Park, CA - Speech Technology and Research Laboratory
• Post-Doc (2007-2008): UC Berkeley, International Computer Science Institute
• PhD (1997-2002): Istanbul University, Electronics Engineering
• MSc (1995-1997): Istanbul University, Electronics Engineering
• BSc (1990-1994): Istanbul University, Electrical-Electronics Engineering
• Associate Degree (1988-1990): Yıldız Technical University, Computer Programming

His research centers on multimodal biometric systems using ECG and speech signals, medical image compression techniques, and Turkish language processing. Key innovations include SYMPES speech modeling framework and quadtree-based energy pattern blocks for biomedical image compression. His work bridges theoretical signal processing with practical healthcare and security applications.

Publication trends reveal consistent focus on biometric identification (fingertip ECG/speech fusion), efficient compression algorithms for medical data (ECG/EEG/images), and semi-supervised learning for Turkish sentence segmentation. Recent work emphasizes multi-view learning strategies and deep neural network integration in compression systems.

Scientific Awards:

• J. William Fulbright International Fellow (Postdoc Scholar Program, USA)
• Overseas Postdoctoral Research Award (TÜBİTAK BİDEB, Turkey)

Prof. Güz has supervised 9 master's theses and 2 PhD dissertations on biometric recognition, speech compression, and medical image processing. His research is supported by TÜBİTAK grants including Project No 107E182 (Turkish spoken language processing) and Project No 10A301 (ECG-based biometric recognition). He actively contributes to IEEE and IEICE as a longstanding member.