About
Zeynel Deprem is a Lecturer in the Department of Electrical and Electronics Engineering within the College of Engineering. His research focuses on advanced signal processing techniques, including time-frequency analysis, generative adversarial networks, and polynomial fitting methods.
- Department: Electrical and Electronics Engineering
- Academic Rank: Lecturer
His work spans interdisciplinary areas such as machine learning, signal modeling, and communication systems. Recent research explores deep learning applications for high-resolution time-frequency representations and cross-term elimination in spectral analysis.
Collaborative projects include publications with researchers like A. Enis Çetin and Orhan Arıkan. No scientific awards or part-time status are documented in the available records.
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