As part of the EluciDATA Lab by Sirris, Mathias focusses on supporting companies in creating new or improved products and services based on targeted data exploitation using data science and machine learning. He contributes, coordinates and sets up national and international, industry-driven R&D projects on different industrial topics, including fleet-based analytics, product usage monitoring, digital servitisation, and data-driven optimisation of machining processes.
Mathias holds a PhD in Artificial Intelligence from KU Leuven.
Publications
- Call for abstracts on fleet-based prognostics and health management of industrial assets
- Smartwatches and activity trackers continuously monitor blood pressure with AI
- Connecting digital services to your product, how to get started?
- Connecting digital services to your product, how to get started?
- The potential of fleet based analytics for data-driven operation and maintenance optimisation
- How to predict a smart audio device's battery life using data analytics
- Starter Kits help companies start to innovate with data
- Learn how to master the art of feature engineering
- Explore the potential of data innovation for your company with the EluciDATA Starter Kits
- Data innovation by accelerating insight through visual analytics