Kurt Barbé
Kurt Barbé received a master’s degree in mathematics (specialising in applied mathematics and statistics) and a PhD degree in engineering from Vrije Universiteit Brussel (VUB), Brussels, Belgium, in 2005 and 2009, respectively. He is currently a Professor at the Department of Biostatistics and Medical Informatics, VUB. Furthermore, he is the founder of VUB's core-facility on statistics supporting researchers in their quantitative data-analysis. His current research interests include numerical methods for time series analysis, in particular long-memory time series arising from fractional Ornstein–Uhlenbeck processes for applications in bioimpedance and biomedical dielectric spectroscopy. Recently, his team customized random forest and random subspace methods for dealing with time series data for applications in dosimetry for cancer as well as muscle fatigability measurements in elderly patients.
Dr Barbé was a postdoctoral Research Fellow with the Flemish Research Foundation and the VUB-Coordinator of FLAMES—the Flemish interuniversity training network on research methodology and statistics. He was a member of the Editorial Board of the Journal of Stochastics and The Scientific World: Probability and Statistics from 2013 to 2016. He was a recipient of the Outstanding Young Engineer Award from the IEEE Instrumentation and Measurement Society in 2011 and the Andy Chi Best Paper Award of the IEEE Transactions on Instrumentation and Measurement in 2013. Currently, he is the senior area editor of the IEEE Transactions on Instrumentation and Measurement in the area of medical, biomedical and healthcare instrumentation and measurement and serves in the steering committee (AdCom) of the IEEE Instrumentation and Measurement Society and the royal Statistical Society of Belgium.
Domain/sector
- Healthcare, Biomedical Sciences & Sports
- Computer Science & IT
Personal info
courses
Semiparametric Time Series Modelling
seminar - Leuven & online - an AI for Times Series Seminar with Kurt Barbé (VUB, Department Biostatistics and Medical Informatics) - VAIA, Flanders AI Research & KU Leuven STADIUS