Research Focus On:
The research focuses on exploring agentic LLM-based systems to support on-chip embedded hardware/software integration and design synthesis, aiming to make the design process faster and more reliable using domain adaptation, feedback loops, and compiler guidance. The project aims to develop intelligent, generative AI-assisted workflows for hardware/software co-design, improving automation, design efficiency, and reliability in embedded systems.
Key Technologies:
Generative AI, large language models (LLMs), embedded systems, hardware/software co-design, design automation.
Applications:
Smart embedded devices, AI-driven chip design, and automation in electronics engineering.
Research Group: Agentic Design Synthesis
Supervisors: Assoc . Prof. Benaoumeur Senouci
Duration : 2025–2028