For the European Horizon 2020 innovation project MaTHiSiS, researchers taught machines how to teach you by learning from watching you learn.
As part of the European consortium behind the ICT4Life project, Dr. Stelios Asteriadis and his group developed personalized care solutions for patients with neurodegenerative disorders.
What would you ask someone who, in the words of the organizers, played a major role in the story of science in the last 70 years?
Kateřina Staňková, assistant professor at the Department of Data Science and Knowledge Engineering (DKE), co-led her team through a great challenge, resulting in a seed grant to advance their strategy to combat thyroid cancer.
A portrait of Ralf Peeters, professor of Mathematics. Without him, the Department of Data Science and Knowledge Engineering, which offers one of UM’s most successful study programmes, would have been swallowed up by another faculty long ago. Not that he’d ever say as much himself. Read on for portrait of a bridge builder, a puzzler, an art lover and, above all, a scientist.
Research that transcends individual disciplines is highly regarded in academia, yet known to be incredibly challenging. Matthijs Cluitmans demonstrates that it is not only possible, but also of great added value. He obtained a joint PhD in 2016 from the Department of Data Science and Knowledge Engineering (DKE) and the School for Cardiovascular Diseases (CARIM). Before that, he studied both disciplines in Maastricht, and he now works for both institutes as well as at Philips Research.
The EU-wide General Data Protection Regulation (GDPR) will oblige companies to have a data protection officer, to inform authorities and affected individuals of security breaches, and to invest in data encryption and intrusion prevention and detection systems. This should improve the security of sensitive personal data – but it is important to remember that there’s no such thing as a perfectly secure system, according to Apostolis Zarras, cybersecurity expert.
How many spells are cast by the characters in the seven Harry Potter books? That’s what master’s students of Data Science for Decision Making Moritz Haine and Markus Dienstknecht wanted to find out in celebration of Harry Potter’s 20th anniversary. To answer their question, they used text mining, an information retrieval technique common in computer science.