Secure, Autonomous and AI-Based Systems
Secure, Autonomous and AI-Based Systems
The digital transformation and expansion of cyber-physical systems increasingly require more collaborative solutions and human-machine interaction. Cognitive computing also increases the autonomy of systems (e.g. autonomous vehicles and flying objects). At the same time, it also poses challenges in communication and interface design between components and systems, data acquisition and analysis using artificial intelligence (e.g. Big Data, machine learning), and IT security.
Research in this area is conducted primarily at the Affective and Cognitive Institute (ACI), Institute for Machine Learning and Analytics (IMLA), Institute for Unmanned Aerial Systems (IUAS), and the Institute of Reliable Embedded Systems and Communication Electronics (ivESK).
Title | DAAD IoT Innovation Challenge |
Short Name | DAAD IoT Innovation Challenge |
Short Description | With funding from Deutscher Akademischer Austauschdienst (DAAD) in the program “Transformation: Kurzmaßnahmen 21“ we are implementing our project:"IoT Innovation Challenge" (IoTIC). We chose to consider the innovation in IoT as the guideline theme of this project that consists in 3 main actions that are planned over the span of 10 months (Mar – Dec 2021) and where theoretical knowledge meets practice, and opportunities for intercultural exchange are created. IoT continues therfore to be at the technical heart of all activities, with exposure to cutting-edge technologies. |
Year Of Acquisition | 2021 |
Start Date | 2021-03-01 |
End Date | 2021-12-31 |
Project Managers | Sikora, Axel, Prof. Dr. |
Faculties | EMI |
Institution | ivESK |