Our theme, Cyber-Physical Infrastructure, is subdivided into six different tracks. Participants will choose a track in which they will perform research during the theme course. Company visits will relate to the tracks, and the company reports the participants will write during the study tour are focused on these tracks as well.
The current day infrastructure is highly focused on IT, introducing a lot of risks. Especially in the high-risk physical infrastructure, cyber security plays an important role. Examples are the protection of systems in power plants, dykes and airports.
Big Data & Deep Learning
The processing and extracting of meaningful information from large datasets is one of the main challenges in IT today. Big Data and Machine Learning can play important roles in cyber-physical infrastructure, for instance in developing self-driving vehicle algorithms.
With technology becoming more prominent in everyday life, technology acceptance has the potential to form a blockade for the implementation and integration of said technology. This track explores the technology acceptance, as well as legal and ethical problems that arise with new technology.
Embedded Systems are found in all cyber-physical infrastructure. These systems need to be dependable and easy to use.
Networks play a vital role in the distributed nature of cyber-physical systems and infrastructure. This track explores everything networking-related, from their stability to new networking technologies.
Sensoring & Robotics
In cyber-physical infrastructure, sensoring plays a vital role in collecting data for monitoring and decision-making. Robotics, while not widely available commercially, play an important role in factories and large physical systems.