Dr. Irfanoglu's research interests include application of image processing, computer vision and machine learning techniques to medical images, with emphasis on Magnetic Resonance Imaging (MRI). His current research focuses on the diffusion MRI modality on the human brain to better facilitate disease diagnosis and prognosis and to improve the quantitative nature of MRI measurements. Dr. Irfanoglu is a fellow of the International Society of Magnetic Resonance in Medicine (ISMRM), fellow of Institute of Electrical and Electronics Engineers (IEEE) and fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) societies. His scientific contributions have been recognized with one NIH Director’s Award (2025), one NIBIB Institute Award (2024), and two best paper awards (Lecture Notes in Computer Sciences 2005, SIU 2004).