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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.

Toepassingsgebied/sector

  • Computerwetenschappen & IT

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Permanente opleidingen

Tensorlab+

Tool - KU Leuven ESAT STADIUS

Trusted partner

Seizure Detection with Wearable Devices and AI

webinar - AI for Times Series seminar met Christos Chatzichristos (Janssen Pharmaceutica) - VAIA, Flanders AI Research & KU Leuven STADIUS

Trusted partner

Distribution-free prediction intervals for time series forecasting

Webinar AI for Times Series webinar met Willem Waegeman - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research

Trusted partner

Statistical Learning of Knowledge from Sequence Data

Webinar AI for Times Series webinar met Nick Harley - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research

Trusted partner

Decision Support for the Low Voltage Distribution Grid; the Role of Electricity Consumption Time Series

Webinar met Koen Vanthournout - online - KU Leuven STADIUS & Flanders AI Research & VAIA

Trusted partner

Kernel Based Transfer Function Estimation with Enhanced Prior Knowledge

Webinar met John Lataire - Online - KU Leuven STADIUS & Flanders AI Research & VAIA

Trusted partner

Integrating Subspace Identification and Prediction Error Methods

Webinar AI for Times Series met Michel Verhaegen (TU Delft) - Online - VAIA, Flanders AI Research & KU Leuven STADIUS

Afgelopen opleidingen

Trusted partner

Machine Learning Approaches for Analyzing Time Series from Sports

2 december 2021

webinar met Jesse Davis, online, KU Leuven STADIUS & Flanders AI Research & VAIA

Trusted partner

Data-driven Model Learning in Interconnected Systems

5 mei 2022

seminar - Leuven - een AI for Times Series-seminarie met Paul Van den Hof (TU Eindhoven) - VAIA, Flanders AI Research & KU Leuven STADIUS

Trusted partner

Semiparametric Time Series Modelling

30 juni 2022

seminar - Leuven & online - een AI for Times Series-seminarie met Kurt Barbé (VUB, Department Biostatistics and Medical Informatics) - VAIA, Flanders AI Research & KU Leuven STADIUS

Trusted partner

Multi-period financial stress testing: an integrated risk view

2 juni 2022

seminarie - Leuven & online - een AI for Times Series-seminarie met Tony Van Gestel (Dexia) - VAIA, Flanders AI Research & KU Leuven STADIUS

Trusted partner

Matching Structured Data

16 juni 2022

online seminar - een AI for Times Series-seminarie met Romain Tavenard (Université de Rennes, LETG-COSTEL) - VAIA, Flanders AI Research & KU Leuven STADIUS

Yoeri Uyttendaele Uyttendaele

Yoeri Uyttendaele

Doctoral Researcher at KU Leuven

Yves Moreau Moreau

Yves Moreau

KU Leuven, KU Leuven ESAT STADIUS
Bart De Moor De Moor

Bart De Moor

Voorzitter VAIA (Vlaamse AI Academie), Co-auteur van het Vlaamse Beleidplan Artificiële Intelligentie, Gewoon hoogleraar - KU Leuven

Oranje robot ster Govindarajan

Nithin Govindarajan

KU Leuven ESAT STADIUS

Georges Gielen Gielen

Georges Gielen

KU Leuven ESAT STADIUS

Johan suykens Suykens

Johan Suykens

KU Leuven ESAT STADIUS