Hasan F. Ateş Prof. Dr. AI and Data Engineering Deep learning-based adaptive system design for multi-modal image registration Multi-modal image matching aims to align images captured from different sensors or obtained under varying conditions and times. Despite the successes of deep learning-based solutions, the diversity and differences in multi-modal images pose significant challenges for matching. Differences in modality, resolution, illumination, and viewpoint between images...

Emre Sefer Assoc. Prof. AI and Data Engineering Predicting Output Associated with Biological Sequences across Multiple Species Using Deep Learning and Large Language Models Analyses performed on biological sequences such as DNA, RNA, and protein are crucial in bioinformatics and genomics research, as well as in predicting associated outcomes. Large language models have gained attention for their success in natural language processing (NLP), and...

Elvin Çoban Assoc. Professor Chair of IE, Healthcare and Humanitarian Operations Management of Reusable Medical Devices and Integrated Operating Room Scheduling Problem: A Column Generation Approach with Machine Learning Reducing operational costs and utilizing resources more efficiently in hospitals has become a growing challenge in the healthcare sector. Effective surgical scheduling plays a critical role in enhancing service quality in hospitals and ensuring operational...