Oguz, Ipek, Department of Computer Science
Ipek Oguz, Ph.D.
Assistant Professor of Computer Science and Computer Engineering
380 Jacobs Hall
Ipek Oguz is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Vanderbilt University. She received her Ph.D. in Computer Science at the University of North Carolina at Chapel Hill. Prior to joining Vanderbilt, she worked in the Penn Image Computing and Science Laboratory (PICSL) and Center for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania as well as in the Iowa Institute for Biomedical Imaging (IIBI) at the University of Iowa. Her research is in the field of medical image analysis and specifically in the development of novel methodology for quantitative medical image analysis, with applications to neuroimaging, including Huntington’s disease and multiple sclerosis, as well as ophthalmic and obstetric imaging. Her technical interests include graph-based segmentation methods, longitudinal studies and machine learning. She has co-authored more than 50 peer-reviewed journal and conference publications. She is an executive in the Women in MICCAI Committee and a co-chair of IPMI 2017.