Advisor
Muhammad Imran
Assistant Professor
Department of Electrical Engineering
School of Electrical Engineering and Computer Science
National University of Sciences and Technology
Faculty Homepage
Dr. Muhammad Imran received his Ph.D. in Electronic and Electrical Engineering from the College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea in 2020. He received his BE in Electrical Engineering from the University of Sciences and Technology (UET), Lahore in 2012. He received superior research award at Sungkyunkwan University in Fall 2019. He is also recipient of HEC faculty development scholarship program for MS-PhD.
Collaborators
Students
Research Assistants
Muhammad Saad Imtiaz
Emerging Memories Based DNN Accelerators, RISC-V Priveleged ArchitectureAli Aqdas
RISC-V Vector Processors, Design for TestabilityAbdur Rehman
RISC-V Bit-Serial Implementations, RISC-V Priveleged ArchitectureHassaan Ahmed
Digital Signal Processor, Error-Correcting Codes for Memories
PhD
Muneeb Abrar
In-Memory ComputingAhmed Rasheed
Deep Learning Inference Optimization
MS
Salman Liaquat
In-Memory ComputingNimra Mukhtiar
Approximate Computing HardwareNamra Bibi
Deep Learning Inference OptimizationSaad Bin Shafique
Approximate Computing HardwareRaja Muhammad Zohaib Tariq Kiani
Secure Approximate SystemsAhmad Ali
Processing in Memory for Low Power AIKamran Sarfraz
In-Memory Computing using SRAMKamran
Approximate Computing and Federated Learning
Undergraduate
Asad Ahmed, Abrar Ahmed and Muhammad Muaz Rauf
A Floating-Point RISC-V Vector Processor IPQazi Hamid Ullah, Afif Arif Siddiqi and Osama Manzoor
A Multicore RISC-V Processor IPMohammed Rishard Ahamad and Nasrun Sithara Ramees
A Superscalar RISC-V Processor IPAbdur Rehman
Design of an FPGA Based Discrete Interlock and Status CardFasih Ul Hassan, Saad Bakhtiar and Muhammad Salman
Verification IP for AXI Interconnect
Alumni
Syed Muhammad Murtaza Haider Jafri - MSEE 2023
Data Encoding Techniques to Enhance the Reliability of Emerging STT-MRAM MemoryAli Aqdas, Muhammad Ibrahim, Farheen Gul - BEE 2023
SoC Implementation of RISC-V Vector ProcessorAmmar Ahsan, Malik Saad Saleem, Hamdan Ahmed - BEE
Out-of-Order RISC-V MicroprocessorAli Ashraf, Muhammad Mohsin Raza, Muhammad Shoaib Salman - BEE 2023
Crypto-Accelerator for Real-Time Secure CommunicationMuhammad Asad Imran Rafique and Ali Abdul Rehman - BEE 2022
Design of a Highly Configurable High-Speed Data Acquisition and Logging SystemAzlan Ikram, Abdul Moeed and Mughees Qasim - BEE 2022
Neural Networks Based Real-Time Unmasking of Masked FacesZainab Jameel and Muhammad Umair - BEE 2022
Efficient Neural Network Processor based on RISC-V Vector Extension