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Faculty Profile

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Dr Saghir Ahmad

Assistant Professor
Area of Interest: Power System Stability & Control
Email: sagheer@cuiatd.edu.pk
Phone: 0992-383591-6
 
Academics/ Degrees

  • PhD Electrical Engineering, 2018, COMSATS University Islamabad, Abbottabad Campus
  • MS Electrical Engineering, 2011, University of Engineering & Technology Taxila, Pakistan
  • BS Electrical Engineering, 1998, NWFP University of Engineering & Technology, Pakistan

 
Journal Publications
1. Tayyab Ashfaq ,S.Ahmed,S.Mumtaz,Basharat Ullah,Fahad R. Albogamy Automatic Generation Control in Renewables-Integrated Multi-Area Power Systems: A Comparative Control Analysis, Sustainability, 2024
2. Raheel Chan Zab Mughal,Ahmed Mohammed Saleh,Usman Nawaz,S.Ahmed,S.Mumtaz,Muhammad Waseem A novel FFA-GWO-based optimization paradigm for solving adynamic economic emission dispatch in power plants, IET Renewable Power Generation, 2023
3. L.Khan,S.Mumtaz,S.Ahmed A Finite-Time Robust Distributed Cooperative Secondary Control Protocol for Droop-Based Islanded AC Microgrids, Energies, 19 May 2021 , 2021
4. L.Khan,S.Ahmed,S.Mumtaz Legendre-Wavelet embedded NeuroFuzzy feedback linearization based control scheme for PHEVs charging station in a microgrid, Turkish Journal of Electrical Engineering and Computer Sciences, Apr 2021, 2021
5. L.Khan,S.Ahmed,S.Mumtaz RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system, Plos one, Apr 2021, 2021
6. Muhammad Awais ,Mohsin Jamil,L.Khan,S.Ahmed Feedback-Linearization-Based Fuel-Cell Adaptive-Control Paradigm in a Microgrid Using a Wavelet-Entrenched NeuroFuzzy Framework, Energies, 2021
7. Ameen Ullah,L.Khan,Qudrat Khan,S.Ahmed Variable gain high order sliding mode control approaches for PMSG based variable speed wind energy conversion system, Turkish Journal of Electrical Engineering & Computer Sciences, 2020
8. L.Khan,S.Ahmed,Uzair Khan Neuro-Adaptive Backstepping Integral Sliding Mode Control Design for Nonlinear Wind Energy Conversion System, Turkish Journal of Electrical Engineering and Computer Sciences, 2020
9. L.Khan,S.Ahmed,S.Mumtaz Nonlinear adaptive NeuroFuzzy feedback linearization based MPPT control schemes for photovoltaic system in microgrid, Plos one. 2020 Jun 30, 2020
10. Kamran Ali,L.Khan,S.Ahmed,Qudrat Khan,Shafaat Ullah,S.Mumtaz,Fazal Wahab Karam,Naghmash Robust Integral Backstepping Based Nonlinear MPPT Control for a PV System, Energies, 2019
11. S.Mumtaz,S.Ahmed,L.Khan,S.Ali Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System, Energies, 9 March 2018, 2018
12. S.Mumtaz,S.Ali,S.Ahmed,L.Khan Energy Management and Control of Plug-In Hybrid Electric Vehicle Charging Stations in a Grid-Connected Hybrid Power System, Energies, 21 November 2017, 2017
13. S.Mumtaz,L.Khan,S.Ahmed Indirect adaptive soft computing based wavelet-embedded control paradigms for WT/PV/SOFC in a grid/charging station connected hybrid power system, PLOS ONE, 2017
14. S.Mumtaz,S.Ahmed,L.Khan Indirect adaptive NeuroFuzzyHermite- wavelet based control of PV in a grid-connected hybrid power system, Turkish Journal of Electrical Engineering & Computer Sciences, 2017
15. S.Ahmed,L.Khan Performances analysis of conjugate gradient algorithms applied to the Neuro-Fuzzy Feedback linearization-based adaptive control paradigm for multiple HVDC links in AC/DC power system, energies, 2017
16. S.Ahmed,L.Khan A self-tuning NeuroFuzzy feedback linearization-based damping control strategy for multiple HVDC links, 2017, 2017
 
 
Profile/Bio

  • Jan. 2007 till now: Assistant Professor , Department of Electrical & Computer Engineering , COMSATS Institute of Information Technology, Abbottabad, Pakistan
  • Feb. 2005 till Jan. 2007: Lecturer , Department of Electrical & Computer Engineering , COMSATS Institute of Information Technology, Abbottabad, Pakistan
  • July 2004 to Feb 2005, Executive Engineer, System & Project Engineeing, Islamabad
  • Nov 2001 to July 2004, Executive Engineer, Siemens Pakistan Engineering Co. Ltd. Islamabad

 
 
Research Interests

  • Power system stability
  • High voltage DC transmission
  • Flexible AC transmission systems
  • Renewable Energy resources