Prof. Dr.-Ing. Jürgen Teich
image: J. Teich

Prof. Dr.-Ing. Jürgen Teich

Chair of Hardware Software Co-Design

  • “Lightweight AI”
    • Automated implementation of AI accelerators (FPGA-based or digital ASICs) for embedded systems (automotive, medical technology, industrial automation
    • Design flows and tools for targeting microcontroller and programmable system-on-chip (SoC) architectures as well as application-specific instruction set processors (e.g., RISC-V with custom function units)
    • Optimization of energy, performance, and resource requirements using compression techniques and hardware-aware neural architecture search (NAS)
  • Hardware/software co-design
    • AI processes for learning models in the design space exploration of hardware/software solutions
    • AI-optimized chip power management