Fahrettin Horasan

Dr. Fahrettin Horasan is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering and Natural Sciences. His research focuses on applied computational methods in data security, machine learning, and information retrieval systems.

• Specialized in medical image watermarking and encryption using matrix decomposition techniques (SVD, ULV)
• Developed novel collaborative filtering recommender systems with hybrid approaches and matrix approximation
• Contributions in sentiment analysis for healthcare and e-commerce domains

His recent publications highlight interdisciplinary work combining cryptology, biomedical imaging, and large-scale data processing. Notable methods include chaotic system-based encryption, latent semantic indexing, and gradient boosting for darknet traffic analysis.

While specific awards, educational background, and student advisement details are not publicly detailed in the provided texts, his technical output reflects active engagement in computational science advancements.