Scholar
Kim Batselier
Google Scholar ID: 3MaUfNYAAAAJ
Delft University of Technology
Citations & Impact
Citations
786
H-index
16
i10-index
23
Publications
20
Co-authors
35
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Developed and implemented an algorithm that uses tensor networks to estimate the coefficients of a multiple-input-multiple-output (MIMO) Volterra model from measured data, capable of estimating 10 million coefficients in about 1 second on a standard desktop computer. Other developed tensor algorithms include a Tensor Network Kalman filter, a polynomial classifier for image classification, and various tensor decomposition algorithms with applications in image processing and nonlinear block-structured system identification.
Research Experience
- Worked at BioRICS from 2005 to 2009, developing algorithms for real-time monitoring of physical and mental status of AC Milan football players. Post-doctoral Research Fellow at the University of Hong Kong from 2013 to 2018, hosted by Dr. N. Wong. Currently an associate professor at Delft University of Technology in the Delft Center for Systems and Control.
Education
- Received Master's degree in Electrical Engineering from KU Leuven, Belgium in 2005; Ph.D. in the same field from KU Leuven in 2013, under the supervision of Prof. dr. ir. Bart De Moor.
Background
- Research Interests: Development of innovative tensor methods and their application on high-dimensional data problems in signal processing, machine learning, system identification and control. Also has a strong passion for education and the popularization of science and engineering.
