Featured
Prof. Sabine Van Huffel
Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Belgium
Sabine VAN HUFFEL received the MD in computer science engineering in June 1981, the MD in Biomedical engineering in July 1985 and the Ph.D in electrical engineering in June 1987, all from KU Leuven, Belgium. She is full professor at the department of Electrical Engineering, KU Leuven, Belgium, where she is heading the Biomedical Data Processing Research Group (about 25 researchers) . She is programme director of the master of Science in Biomedical Engineering at KU Leuven, and also fellow from IEEE, SIAM and EAMBES. In April 2013 she received an honorary doctorate from Eindhoven University of Technology, together with an appointment as a Distinguished professor.
She performs Research – fundamental/theoretical as well as application oriented- in the domain of (multi)linear algebra, (non)linear signal analysis, classification and system identification with special focus to the development of numerically reliable and robust algorithms for improving medical diagnostics in numerous areas such as epilepsy, stress and neonatal brain monitoring. In particular, she is well-known for her contributions to Total Least Squares (TLS) fitting and more recently for her expertise in matrix/tensor based biomedical multimodal and multichannel data processing with applications in fusing EEG & functional MRI as well as multiparametric MRI.
She published two SIAM monographs, about 420 articles in refereed international journals and about 300 articles in international peer-reviewed conferences (>20.000 google-scholar citations). For more information, see
http://www.esat.kuleuven.be/stadius/. She is holder of an ERC Advanced Grant 339804 BIOTENSORS: “Biomedical Data Fusion using Tensor based Blind Source Separation”. Period: 01-04-2014 /31-03-2019.
She is (co)supervisor of 52 finished PhDs and 20 ongoing PhDs: mostly interdisciplinary in cosupervision with medical colleagues. In addition, she mentored 30 postdocs.