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.

Research groups


16 februari 2020

State-Space Network Topology Identification from Partial Observations

Identifying how entities are connected by observing the evolution of time series is an important problem is biology, finance, and sensor networks. The problem known as "network topology identification (NTI)" is both challenging to solve and difficult to be characterised theoretically. In our work, we undust some old tools from system identification literature and show how they can be used for NTI. This link allowed us to provide theoretical guarantees on when a topology is identifiable from partial measurements and to develop an algorithm for retreiving it. When the theoretical conditions are met, our proposed algorithm finds the #true network being responsible for the dynamics.

27 januari 2020

De computer als herdershond

Hybrid Intelligence stimuleert zowel de menselijke intelligentie als de ontwikkeling van de kunstmatige variant.

22 januari 2020

Pepper in aktie bij Pieter van Foreest

Geslaagde demo van de muziekrobot voor ouderen tijdens het Symposium Pieter van Foreest in Delft

12 december 2019

The 11th edition of IEEE International Workshop on Information Forensics and Security took place at Science Center between December 9 and 12

We gladly announce that 4TU.Federation Netherlands Institute for Research on ICT (NIRICT) is supporting IEEE Workshop on Information Forensics and Security to be held in Delft, December 9-12.

26 november 2019

Odette Scharenborg keynote speaker at Speech Technology Deep Dive

On Wednesday November 27, 2019, Odette Scharenborg is a keynote speaker and discussant at the Speech Technology Deep Dive of the Dutch ministries of Justice and Internal Affairs. During TechNovember, which lasts the entire month of November, 12 so-called "deepdives" take place. In such a deep dive, a scientist by name and fame always plunges into depth with the participants from both departments.