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 JafriApproximate Federated Learning
Kamran
Final Year Projects (FYPs) Supervision
SoC Implementation of RISC-V Vector Processor
Ali Aqdas, Muhammad Ibrahim, Farheen GulOut-of-Order RISC-V Microprocessor
Ammar Ahsan, Malik Saad Saleem, Hamdan AhmedCrypto-Accelerator for Real-Time Secure Communication
Ali Ashraf, Muhammad Mohsin Raza, Muhammad Shoaib SalmanEfficient Neural Network Processor based on RISC-V ISA
Zainab Jamil and Muhammad UmairNeural Networks Based Real-Time Unmasking of Masked Faces
Azlan Ikram, Abdul Moeed and Mughees QasimDesign of a Highly Configurable High-Speed Data Acquisition and Logging System
Muhammad Asad Imran Rafique and Ali Abdul Rehman