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.
Muhammad Saad Imtiaz
Emerging Memories Based DNN Accelerators, RISC-V Priveleged Architecture
Ali Aqdas
RISC-V Vector Processors, Design for Testability
Abdur Rehman
RISC-V Bit-Serial Implementations, RISC-V Priveleged Architecture
Hassaan Ahmed
Digital Signal Processor, Error-Correcting Codes for Memories
Muneeb Abrar
In-Memory Computing
Ahmed Rasheed
Deep Learning Inference Optimization
Salman Liaquat
In-Memory Computing
Nimra Mukhtiar
Approximate Computing Hardware
Namra Bibi
Deep Learning Inference Optimization
Saad Bin Shafique
Approximate Computing Hardware
Raja Muhammad Zohaib Tariq Kiani
Secure Approximate Systems
Ahmad Ali
Processing in Memory for Low Power AI
Kamran Sarfraz
In-Memory Computing using SRAM
Kamran
Approximate Computing and Federated Learning
Asad Ahmed, Abrar Ahmed and Muhammad Muaz Rauf
A Floating-Point RISC-V Vector Processor IP
Qazi Hamid Ullah, Afif Arif Siddiqi and Osama Manzoor
A Multicore RISC-V Processor IP
Mohammed Rishard Ahamad and Nasrun Sithara Ramees
A Superscalar RISC-V Processor IP
Abdur Rehman
Design of an FPGA Based Discrete Interlock and Status Card
Fasih Ul Hassan, Saad Bakhtiar and Muhammad Salman
Verification IP for AXI Interconnect
Syed Muhammad Murtaza Haider Jafri - MSEE 2023
Data Encoding Techniques to Enhance the Reliability of Emerging STT-MRAM Memory
Ali Aqdas, Muhammad Ibrahim, Farheen Gul - BEE 2023
SoC Implementation of RISC-V Vector Processor
Ammar Ahsan, Malik Saad Saleem, Hamdan Ahmed - BEE
Out-of-Order RISC-V Microprocessor
Ali Ashraf, Muhammad Mohsin Raza, Muhammad Shoaib Salman - BEE 2023
Crypto-Accelerator for Real-Time Secure Communication
Muhammad Asad Imran Rafique and Ali Abdul Rehman - BEE 2022
Design of a Highly Configurable High-Speed Data Acquisition and Logging System
Azlan Ikram, Abdul Moeed and Mughees Qasim - BEE 2022
Neural Networks Based Real-Time Unmasking of Masked Faces
Zainab Jameel and Muhammad Umair - BEE 2022
Efficient Neural Network Processor based on RISC-V Vector Extension