ESAT-SCD (SISTA) is a research group within the department of Electrical Engineering (ESAT) at the Katholieke Universiteit Leuven.

Role in HealthAgents

This partner contribute substantially in the Pattern Recognition side.

Background

Their specialised areas are: - Signals processing and identification; - System theory and automation; - Bayesian networks for the integration of prior knowledge and heterogeneous sources of data with application to the preoperative diagnosis of cancer.

People

Sabine Van Huffel PhD degree in June 1987, full professor since October 1, 2002. Her research interests are in numerical linear algebra, errors-in-variables regression, signal processing, system identification, data mining, pattern recognition, and (non)linear modelling (using neural networks, Bayesian networks and support vector machines). In these areas, she has authored 3 books, more than 120 papers and 130 conference contributions. She was involved in 6 European projects (one as coordinator).

Diana Sima PhD in Engineering in April 2006, postdoc at Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT) , SISTA. Her research interests are in numerical linear algebra, optimization and statistics. She has authored 6 journal papers and 6 conference papers. 

Jean-Baptiste Poullet PhD student at the Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT), SISTA. His research interests are in automatic processing of signals coming from Magnetic Resonance Spectroscopy experiments. He has authored 1 paper and 1 conference contribution and has been involved in 2 European projects.

Jan Luts PhD student at the Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT), SISTA. His research interests are in supervised learning, brain tumour classification based on Magnetic Resonance Spectroscopic Imaging, Magnetic Resonance Spectroscopy, Magnetic Resonance Imaging, clinical information and spatial, genome and metabolome data. He is involved in 2 European projects.

Anca Croitor Sava, researcher at the Katholieke Universiteit Leuven, Department of Electrical Engineering (ESAT), SIST. Her topic is advanced signal processing techniques for data fusion of multimodal information with applications in brain tumor diagnosis. Aim is to improve and facilitate the clinical application of Magnetic Resonance Spectroscopy in adults and paediatric brain tumour diagnosis, prognosis and treatment selection.