KU Leuven ESAT STADIUS
STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics pursues excellence in an explicit and synergistic combination of fundamental and applied research:
With core concepts from linear and multi-linear algebra, statistics, optimization, machine learning, and artificial intelligence, the fundamental research is focused on the development of mathematical engineering tools and numerical algorithms.
Building upon this foundation, the applied research is geared towards putting these tools and algorithms into motion in order to advance the current state of technology across a wide range of relevant application fields, including industrial automation and control, speech and audio signal processing, digital communications, biomedical data analysis and signal processing, bioinformatics and systems biology.
Field of study/sector
- Computer Science & IT
Is part of:
Permanent courses
Tensorlab+
Tool - KU Leuven ESAT STADIUS
Integrating Subspace Identification and Prediction Error Methods
Webinar AI for Times Series with Michel Verhaegen (TU Delft) - Online - VAIA, Flanders AI Research & KU Leuven STADIUS
Kernel Based Transfer Function Estimation with Enhanced Prior Knowledge
Webinar AI for time series with John Lataire - Online - KU Leuven STADIUS & Flanders AI Research & VAIA
Decision Support for the Low Voltage Distribution Grid; the Role of Electricity Consumption Time Series
Webinar AI for time series with Koen Vanthournout - online - KU Leuven STADIUS & Flanders AI Research & VAIA
Statistical Learning of Knowledge from Sequence Data
Webinar AI for Times Series webinar with Nick Harley - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research
Distribution-free prediction intervals for time series forecasting
Webinar AI for Times Series with Willem Waegeman - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research
Seizure Detection with Wearable Devices and AI
Webinar - VAIA, Flanders AI Research & KU Leuven STADIUS
Past courses
Fast and Stable Roots of Polynomials via Companion Matrices
seminar - Heverlee, Leuven - KU Leuven ESAT STADIUS
Bohemian Matrices: An introduction and some open problems
seminar - Heverlee, Leuven - KU Leuven ESAT STADIUS
Interpretable deep learning for cancer personalized medicine
Lezing - Leuven - KU Leuven ESAT STADIUS
Triple helix for control: model-based, learning and embodied intelligence
Webinar - Online - VAIA & KU Leuven ESAT Stadius
Balancing safety and performance in learning-based optimal control
Webinar - Online - VAIA, KU Leuven ESAT STADIUS, Flanders AI EDIH
Physical dynamic systems learning from interactions with the real world
Webinar with Guillaume Crevecoeur (Ghent University) - Online - VAIA & KU Leuven Stadius, Flanders AI EDIH
Graphics with R : Introduction to ggplot2
mini course - Leuven - KU Leuven Statistics Research Centre
Experts
Yoeri Uyttendaele
Doctoral Researcher at KU Leuven
Yves Moreau
professor at KU Leuven ESAT STADIUS
Bart De Moor
Voorzitter VAIA (Vlaamse AI Academie), Co-auteur van het Vlaamse Beleidplan Artificiële Intelligentie, Gewoon hoogleraar - KU Leuven
Nithin Govindarajan
KU Leuven ESAT STADIUS
Georges Gielen
KU Leuven ESAT STADIUS
Johan Suykens
KU Leuven ESAT STADIUS
