Jalil Boudjadar
  • Helsingforsgade 10, 5123, 413

    8200 Aarhus N



Research activity per year

Personal profile


My current research is primarily on:

  • Cyberphysical systems: digitalization, digital twins and control.
  • Embedded systems: software design, hardware synthesis, acceleration, FPGA.
  • Real-time systems: scheduling theories, dynamic and intelligent scheduling.
  • AI and machine learning: state estimation and performance optimization.
  • Formal methods for safety and security.
  • Application domains: automotive, robotics, energy systems, ... 

Education/Academic qualification

Computer Science, PhD, Universite Toulouse III - Paul Sabatier

Award Date: 15 Jan 2013


  • Cyber-physical systems
  • Formal methods
  • Real-time Embedded Systems
  • Machine learning
  • Hardware-Software Codesign
  • System/software architectures


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Collaborations and top research areas from the last five years

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