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  • Efficient hardware accelerators for AI and security applications.
  • Neuromorphic computing using traditional and emerging RRAM technology.
  • Low-latency generative AI and compact Large Language Models (LLMs).
  • Theoretical frameworks for cognitive computing and information processing.
  • Quantum Computing.
  • Parallel & Distributed computing at the edge and the cloud.
  • Secure and safe drone operations.

 

Affiliated CIE Faculty:

Associated Projects:

  • External Grants:
    • RISC-V-Based SoC for Secure Flight Computer System.
    • Secure FPGA as a Cloud Microservice.
    • Secure Robotic Process Automation.
    • Advanced System-on-Chip for Secure UAV Operation.
    • Zero trust-based, secure, resilient, and autonomous system for drone-UTM. interactions (ZT-UTM).
  • Internal Grants: