One pervasive trend is to quantify more and more aspects of the world and our lives through data. Datafication is radically influencing the way people, companies, societies, and governments exist and operate. This creates new opportunities as well as new hazards. The INSY department aims to enable man and machine to deal with the increasing volume and complexity of data, in close cooperation with their environment.
Together with the software technology department, INSY is responsible for the Computer Science bachelor programme and the two master tracks, Software Technology (ST) and Data Science & Technology (DST). The department also contributes to the Computer Science specializations Cybersecurity, Bioinformatics, and EIT Innovation of the master in Digital Media Technology.
The department integrates fundamental research, engineering and design in the interlocking fields of data processing, interpretation, visualization and interaction using model- and knowledge-based methods and algorithms. The research is inspired by challenges from the domains of consumer electronics and entertainment, cultural heritage, social media, medical and health sciences, security and privacy, and safety and incident management. The department underpins the EEMCS thematic research lines Data Science, Safety & Security, and Health & Wellbeing.
28 september 2020
Cyber Security Next Generation 6th annual workshop on November 27, 2020
Cyber Security Next Generation is organizing its 6th annual workshop for PhD and MSc students to present and discuss their work with peers. The workshop is meant as a platform for young cybersecurity researchers from all fields to meet new (and old) colleagues, and share ideas.
23 september 2020
AI moet geen pijn doen
In the NRC newspaper of September 18, 2020, professor Catholijn Jonker contributed to an article about AI in the series "Met machines meer mens" (dutch)
15 september 2020
Test of Time Award for CYS paper
Toon Calders and Sicco Verwer received the Test of Time Award for their paper 'Three naive Bayes approaches for discrimination-free classification'.
14 september 2020
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
Youri Coppens presents joint work on Machine Learning & Knowledge Representation at the TAILOR 2020 Workshop.
09 september 2020
Apostolis Zarras will join CYS as of November 1, 2020
Dr. Apostolis Zarras, currently an assistant professor at Maastricht University, will join the cyber security group at EEMCS as of November 1, 2020.