Prof. Kjersti Engan is a full professor at the Electrical Engineering and Computer Science Department at the University of Stavanger (UiS). She received a BE degree in electrical engineering from Bergen University College in 1994 and M.Sc. and Ph.D degrees in electrical engineering in 1996 and 2000, respectively, from UiS. She is the leader of the biomedical data analysis lab - BMDLab - at UiS. Her research interests are in signal and image processing and machine learning with emphasis on medical applications and in dictionary learning for sparse signal and image representation. Past and current projects in collaboration with local and international hospitals and partners include analysis, classification and segmentation in Cardiac MR on infarct patients, brain MRI on dementia patients, CT Perfusion images from stroke patients and on histopathological images for different cancer types. She is also active in projects on cardiac arrest and newborn survival, contributing with analysis and classification on fetal heart rate signals, ECG and ventilation signals and on video analysis for activity detection during resuscitation. She is a senior member of IEEE, and a board member of NOBIM (Norwegian Image and Pattern Recognition Society). She has served as Associate Editor and Senior Area Editor for IEEE Signal Processing Letters, and as a member of IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP).