Research Interests

  • Efficient and Reliable Architectures for Emerging Memory Technologies

  • Fault-Tolerant System Architectures for Deep Neural Networks

  • Computer Architecture

  • Emerging Computing Paradigms

  • Approximate Computing

  • Reconfigurable Computing

Graduate Thesis Supervision

  • Data Encoding Techniques to Enhance the Reliability of Emerging STT-MRAM Memory
    Syed Muhammad Murtaza Haider Jafri

  • Approximate Federated Learning
    Kamran

Final Year Projects (FYPs) Supervision

  • SoC Implementation of RISC-V Vector Processor
    Ali Aqdas, Muhammad Ib
    rahim, Farheen Gul

  • Out-of-Order RISC-V Microprocessor
    Ammar Ahsan, Malik Saad Saleem, Hamdan Ahmed

  • Crypto-Accelerator for Real-Time Secure Communication
    Ali Ashraf, Muhammad Mohsin Raza, Muhammad Shoaib Salman

  • Efficient Neural Network Processor based on RISC-V ISA
    Zainab Jamil and Muhammad Umair

  • Neural Networks Based Real-Time Unmasking of Masked Faces
    Azlan Ikram, Abdul Moeed and Mughees Qasim

  • Design of a Highly Configurable High-Speed Data Acquisition and Logging System
    Muhammad Asad Imran Rafique and Ali Abdul Rehman