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.
25 november 2021
Frans A. Oliehoek delivers keynote address at Workshop Computational Intelligence 2021
The audience of the annual workshop has a strong background of the different methods of computational intelligence. About half of the participants are computer scientist. The other half comes from engineering sciences focusing on control theory/automation control in process engineering, industrial automation, power systems, automotive engineering, robotics, and medical engineering.
25 november 2021
Mauro Conti elevated to IEEE Fellow
Recognizing his achievements the IEEE Fellow Committee has elevated Mauro Conti to IEEE Fellow with the following citation: - for contributions to communications network security
24 november 2021
Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
Dr. Stjepan Picek, Prof. Mauro Conti, and their colleagues from the University of Padova published a work where they investigated the security of the PIN mechanism for ATMs. They showed that even if a user covers the typing hand with the other hand, a deep learning-based attack can infer the correct PIN.
23 november 2021
Hoe de Belastingdienst lage inkomens profileerde in de jacht op fraude
Om fraude beter te kunnen opsporen begon de Belastingdienst in 2013 met een zelflerend algoritme bij de controle op toeslagen. Dat keek vooral naar de allerlaagste inkomens.
17 november 2021
Mark Neerincx delivers keynote address at ICSR conference
Due to the loss of cognitive and behavioral abilities, people with dementia (PwD) become more dependent on their (in)formal carers and may stop engaging in meaningful activities. Carers often feel burdened when they cannot provide enduring support to engage the PwD in such activities. An adjustable combination of Social AI (SAI) technology could help to initiate, coordinate, guide, stimulate and personalize the activities of PwD.