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 | Improving the transformation to reliable wireless communication for the IoT |
Short Name | ReWiComm |
Short Description | This overarching objective of our proposal is automation using IoT with a special focus on smart city and smart agriculture applications, where requirements of ultra-high reliability and (for some applications) short latency are of paramount importance trading-off with the necessity of ultra-low energy operation, low-cost and scalability. |
Year Of Acquisition | 2019 |
Start Date | 2019-10-01 |
End Date | 2019-12-31 |
Project Managers | Sikora, Axel, Prof. Dr. |
Faculties | EMI |
Institution | ivESK |