The “École Polytechnique Fédérale de Lausanne” (EPFL) is one of the two Swiss Federal Polytechnical Schools (http://www.epfl.ch). With more than 350 laboratories and research groups on campus, EPFL is one of the Europe’s most innovative and productive technology institutes and is also renowned for the quality of its teaching and training programmes. In 2013 the Shanghai Jiao Tong ranking placed EPFL second in Europe and 15th worldwide in Engineering/Technology and Computer sciences, and many other global comparisons place it among the top European universities. EPFL was rightly recognized as “one of the world’s most cosmopolitan universities” by the Times Higher Education Supplement.
Kamiar Aminian is a Professor with the Institute of Bioengineering and the Director of the Laboratory of Movement Analysis and Measurement at EPFL. His research focuses on methodologies for human movement monitoring and analysis in real world conditions mainly based on wearable technologies, with an emphasis on gait, physical activity, and sport. He is teaching in the areas of physiology and instrumentation, medical devices, biomechanics, and sports.
In PreventIT he is leading the WP7: Behavioural complexity models and outcomes. The objective of this WP is first to model behavioural patterns by fusion of daily activity, sleep, and social behaviour data in collaboration with WP2 and WP3. Then to define “healthy behavioural patterns” based on movement complexity (with WP2, WP3, WP4). And finnaly WP7 aims to provide an objective “complexity metric” for clinical outcome evaluation and assess it the PreventIT trial interventions (with WP3,WP4, WP6).
Anisoara Ionescu (female), PhD, is a Scientist with the LMAM. In the framework of PreventIT she will be responsible of movement complexity analysis in the WP7. Her main research focuses on biomedical signal processing with emphasis on nonlinear analysis and statistical modeling of human physical activity patterns in health and disease. She has more than 70 scientific journals papers/conference proceedings and involved in several EU projects.
Wei Zhang is postdoctoral researcher with the LMAM, EPFL. In PreventIT, her research focus is on multivariate analysis and modeling of behavioral patterns. She has an education background in electrical engineering from RWTH (M.Sc. 2008) and movement gerontology from DSHS (Ph.D. 2016) in Germany. Before joining EPFL in September 2016, she was a scientist at Philips Research for 8 years in the Netherlands, where she worked on wearable sensor signal processing, data analysis and modeling for elderly care and home monitoring in several corporate and public funding projects.