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Personal profile


My main area of research is resource-constrained embedded systems (modeling, analysis, optimization) with requirements for real-time, low power and energy constraints, relevant for applications in Internet-of-Things (IoT). In this context, I have also carried out research related to real-time scheduling, hardware-software co-design, custom hardware architectures, design for reliability, Java in embedded systems (native Java processors, hardware-assisted garbage collection, bytecode-to-hardware generation), communication infrastructures and networks-on-chip, streaming applications, and data-flow computing models. I am also involved in work applying machine learning to industrial and embedded applications as well as in signal processing for radar and radio astronomy.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

UKÄ subject classification

  • Embedded Systems
  • Computer Systems


Dive into the research topics where Flavius Gruian is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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