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About Kjersti Engan
Kjersti Engan is a full professor at the dept. of electrical engineering and computer science at the University of Stavanger (UiS), Norway. She received the BE degree in electrical
engineering from Bergen University College in 1994, the M.Sc. in information technology in 1996 at UiS and Ph.D degrees in 2000 from UiS/NTNU in collaboration. She is the leader of the Biomedical data analysis lab, BMDLab,
at UiS (uis.no/en/bmdlab).
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. She
has a special interest in 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. She is currently a member of IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP),
and an associate editor for SIAM Journal on Imaging Sciences (SIIMS).
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