Turgay Celik

Turgay Celik is a full Professor at the Department of Information and Communication Technology, University of Agder (Norway). His research focuses on machine learning applications in remote sensing, explainable AI, and data analysis. He leads projects related to radiometric normalization, sentiment analysis for low-resource languages, and biomedical prediction models.

• Research Interests: Machine learning for geospatial data, explainable NLP, adaptive learning systems, and domain adaptation frameworks
• Recent Publications: 15+ articles on topics spanning remote sensing image processing, multilingual NLP, and counterfactual credit scoring explanations
• Collaborations: Active in international research with co-authors from institutions in Norway, Iran, South Africa, and China

His methodological work includes Trust-Region Reflective algorithms, Laplacian Pyramid Fusion, and SAM transfer learning for water segmentation tasks. He contributes to open-source frameworks evaluation and systematic reviews in computer vision and financial AI.