معرفی
Prof. Dr. Behçet Uğur Töreyin is a full Professor at the Informatics Institute of Istanbul Technical University, where he also serves as Head of Department since 2023. He leads the Signal Processing for Computational Intelligence (SP4CING) research group, focusing on advanced signal and image processing techniques for intelligent systems. His work spans interdisciplinary applications in bioimaging, environmental monitoring, surveillance, and remote sensing.
- PhD in Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University (2009)
- MS in Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University (2003)
- BS in Electrical and Electronics Engineering, Middle East Technical University (2001)
His research interests include signal processing, image processing, machine learning, pattern recognition, deep learning, computer vision, and compressed domain analysis. He has pioneered work in flame detection, video understanding in compressed domains, and efficient neural architectures. His recent publications emphasize green AI, model efficiency, and privacy-preserving techniques.
The analysis of his 15 most recent articles (2022–2024) reveals a strong focus on compressed domain processing, efficient deep learning models (e.g., HaLViT), biomedical imaging, and environmental applications. He frequently employs transformer models, CNNs, and hybrid architectures for tasks such as Raman spectroscopy quantification, smoking detection in video, and server fault diagnosis using thermal imaging.
- Scientist of the Year, SCIENCE HEROES ASSOCIATION (2017)
- Entrepreneurial and Innovative Graduation Design Project (BTP) Competition, ITU (2016)
- 2241 Industrial Undergraduate Thesis Competition, TÜBİTAK (2016)
- Golden Youth, İş Bank (1997)
Prof. Töreyin has supervised several students, including Mr. Berk Arıcan, whose M.S. thesis won the best thesis award in computer science at ASELSAN Akademi in 2023. He has led numerous research projects funded by TÜBİTAK and other agencies, including work on quantum machine learning for carbon credit trading and lip-sync error detection in live broadcasts. He actively mentors students and promotes innovation in computational intelligence.
He leads the SP4CING research group at ITU, which focuses on designing signal processing techniques for computational intelligence. The group's work integrates deep learning, compressed domain analysis, and multi-modal sensing for real-world applications in healthcare, environment, and industry.
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