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M. Abdullah

M. Abdullah

Lecturer
  • Department of Electrical Engineering
  • muhammad.abdullah@nu.edu.pk
  • (041) 111-128-128
  • Ext: 145

Introduction

Dr. Muhammad Abdullah is a Lecturer in the Electrical Engineering Department at FAST-NUCES, Chiniot-Faisalabad Campus, where he has been serving since July 2013. He recently completed his Ph.D. in Electrical Engineering from FAST-NUCES in 2026. He also holds an M.S. in Electrical Engineering with specialization in Control Systems from the University of Engineering and Technology, Lahore in 2017, and a B.S. in Electrical Engineering with specialization in Power from UET Lahore in 2013.

His research interests include Control Systems, Unmanned Aerial Vehicles (UAVs), and Digital System Design and Implementation on FPGA platforms. His work focuses on developing practical and innovative engineering solutions, particularly in fault-tolerant control systems and hardware-in-the-loop implementations. He has contributed to both academia and applied research, addressing real-world engineering challenges through modern control and digital design techniques. His areas of interest include;

  1. Control System Analysis and Design
  2. Digital System Design and FPGA-Based Implementation
  3. FPGA Prototyping and Hardware-in-the-Loop Testing using MATLAB/Simulink HDL Coder

Education

Ph.D. Electrical Engineering (Control Systems and Digital Systems), FAST-NUCES, Pakistan (2026)

M.S. Electrical Engineering (Control Systems), UET Lahore, Pakistan (2017)

B.S. Electrical Engineering (Power), UET Lahore, Pakistan (2013)

Publications

Thomson JCR Impact Factor Journals

  1. Abdullah, M., Zulfiqar, A., Zeeshan Babar, M., Arman, J. H., Hafeez, G., Alsafran, A. S., & Rawa, M. (2025). Hardware-in-the-Loop Experimental Validation of a Fault-Tolerant Control System for Quadcopter UAV Motor Faults. Fractal and Fractional, 9(11), 682. https://doi.org/10.3390/fractalfract9110682
  2. Abdullah, M., Zulfiqar, A., & Arman, J. H. (2025). An integral backstepping and nonlinear disturbance observer-based sliding mode control for active fault-tolerant quadcopter UAVs with simulation as well as hardware-in-the-loop experiments. International Journal of Dynamics and Control, 13(4), 159. https://doi.org/10.1007/s40435-025-01676-9
  3. Abdullah, M., Zulfiqar, A., Arman, J. H., et al. (2026). A Comprehensive Review on UAV Control Systems: From Linear to Intelligent Approaches. ACM Computing Surveys. (Accepted for publication) (HEC W Category, Impact Factor: 28, Platinum Category).

HEC Recognized Impact Factor Publications

    1. M. Abdullah, A. A. Amin, S. Iqbal, and K. Mahmood-ul-Hasan, “Swing up and stabilization control of rotary inverted pendulum based on energy balance, fuzzy logic, and LQR controllers,” Measurement and Control, vol. 54, no. 9–10, pp. 1356–1370, 2021. doi: 10.1177/00202940211035406
    2. A. A. Amin and M. Abdullah, “A Comparative Study of DC-DC Buck, Boost, and Buck-Boost Converters with Proportional-Integral, Sliding Mode, and Fuzzy Logic Controllers,” Recent Advances in Electrical & Electronic Engineering, vol. 15, 2022. doi: 10.2174/2352096515666220225115809

Conference Papers

      1. M. Abdullah, S. Iqbal, and U. Shahid, “On the Study of Chaotic Colpitts Oscillator Using Simulations and Experiments,” in 2018 International Conference on Electrical Engineering (ICEE), 2018. doi: 10.1109/ICEE.2018.8566960
      2. F. Ghaffar, S. Iqbal, U. Shahid, and M. Abdullah, “Implementation of a BJT based jerk circuit: route to chaos with multiple attractors,” in 2018 IEEE UEMCON, 2018. doi: 10.1109/UEMCON.2018.8796760

 

Collaborations at National and International Level

Detail of Funded Projects

Dr. Muhammad Abdullah is serving as Principal Investigator of a Faculty Research Support Grant (FRSG), Fall 2023. The funded project titled “Fault Tolerant Control of Unmanned Aerial Vehicle (UAV) based on Hardware-in-the-Loop Implementation” has received funding of PKR 1.5 million for a duration of 24 months starting from 01-Feb-2026. The project focuses on advanced control strategies and real-time FPGA-based implementation for UAV systems.