The Embodied AI Circuits, Architectures, and Systems Lab

Welcome to EACAS! We are a research group, led by Dr. Mohamed Ibrahim, in the Department of Electrical and Computer Engineering at the University of Texas at Dallas. Our research aims to shape the future of human-centered, brain-inspired, and energy-efficient AI systems, such as robots and prosthetic arms, through effective hardware–software co-design methods. We work on exciting projects at the intersection of brain-inspired computing, VLSI AI acceleration, domain-specific architectures, and cyber-physical system integration. We develop cutting-edge algorithms and build innovative hardware architectures, aiming to create embodied AI systems that are inherently adaptable, reliable, and trustworthy.

Research Themes

  • Computer Systems: AI Hardware; Embedded Systems; Domain-Specific Accelerators; Hardware-Software Co-Design.
  • Brain-Inspired Computing: Hyperdimensional Computing; Neuro-Symbolic AI; Foundation Models.
  • VLSI and CAD: Digital Circuits Design; Design-for-Test; Energy Efficiency; Electronic Design Automation.
  • Embodied Computing: Cyber-Physical Integration; Robotics; Smart Wearables.

Press