Interconnected Resource-aware Intelligent Systems

We at the Interconnected Resource-aware Intelligent Systems cluster address (distributed embedded) systems performance challenges in terms of timing behavior, dependability, programmability, reliability, robustness, scalability, accuracy, energy and data computation efficiency, and trustworthiness.

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Industrial applications and collaborations inspire us in our research and ensure that our research has economic and societal impact. 

Science and technology have changed the way we live, communicate, work, and even spend our free time. We are surrounded by systems of varying sizes and forms that sense, communicate, and try to make sense of what happens, with, within, and around us or where they operate (e.g. in a car or at a factory). The goal of all these systems is to create a safer, healthier, more pleasant, and more productive environment and set of services.