Embedded AI

The research area embedded AI is motivated by the megatrend of things getting smart, connected and energy sustainable. Moving AI from cloud to the edge and hence embedded systems will be a key enabler and catalyst for afore mentioned megatrend.

Research Focus

  • Innovative system approaches (HW&SW) through interdisciplinary research in Machine Learning, Signal Processing and Integrated Circuits Design
  • Intelligent multisensor data processing and fusion as well as distributed reasoning, decision-making, automation and control to establish design principles for collectives of ultra-reliable and ultra-scalable autonomous systems.
  • Machine Learning for formal methods and formal methods for Machine Learning for next order dependability of critical embedded SW and complete systems


Research Competencies

  • Neuromorphic architectures and neural networks HW/SW systems engineering
  • Combining advance signal processing with Machine, Deep and Reinforcement Learning
  • Analog, mixed-signal and digital integrated circuit design
  • Sensor data processing, sensor fusion and perceptive computing with Machine Learning (including DL)
  • Cyber-physical systems and wireless sensor & actuator networks
  • Embedded real-time SW design
  • embedded HW/SW systems engineering, embedded AI systems, GPU, FPGA and micro-controller programming


Beyond these competencies, the interdisciplinary approach we at SAL are following within and beyond research areas enables us to not only push enabling technologies to next levels, but even more importantly allows us to truly embrace challenges from various application fields.


  • NNbased RF
  • Radar Tomography
  • selforganizing
    • multi-sensor arrays
    • autonomous vehicles and drones
    • robots for industrial applications
  • Verification and Testing of embedded systems of highest complexity (eg Mobile Phone Field Testing,..., Autonomous Driving)

Your contact person

Dr. Pedro Julian

Head of Research Unit Embedded AI

e-mail: pedro.julian@silicon-austria.com