Flavius Gruian

Senior Lecturer, PhD, Reader

Research areas and keywords

UKÄ subject classification

  • Embedded Systems
  • Computer Systems

Research

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.

Recent research outputs

Arslan, M. A., Flavius Gruian, Krzysztof Kuchcinski & Karlsson, A., 2017, 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 90-97

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Gomez, R., Flavius Gruian & Liang Liu, 2016, The 14th International Workshop on Java Technologies for Real-Time and Embedded Systems. 8 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Flavius Gruian, 2015 Nov 25.

Research output: Contribution to conferencePaper, not in proceeding

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