Dr Nagi Fahmi

Dr Nagi Fahmi

Senior Lecturer / Director of BEng Professional Engineering Programmes 

Phone number:+44(0)121 2043575

Email: n.r.fahmi@aston.ac.uk  

Room number: NW411


Dr Nagi Fahmi is a staff member of the Power Engineering System Group at Aston University, UK. He is currently Director of the Professional Engineering programmes.  He has been Member of the Institution of Engineering & Technology and Chartered Engineering since 1993. His research focuses on power system analysis and power system control.  

Qualifications & education

  • PhD Aston University
  • MSc Power Systems – UMIST/Salford University
  • DipEE (5 years Programme- Electrical Power Systems) Sudan University of Technology


  • 1974 – 1976 Electrical Engineer – Union Carbide
  • 1977 – 1982 Lecturer Khartoum University – Sudan
  • 1982 – 1986 PG Research CEGB/Aston University
  • 1986 – 1988 Consultant/ Research CEGB/Aston University
  • 1988 – to date Lecturer/Senior Lecturer Aston University

Teaching activity

Lecturer on subjects related to Electrical Power Engineering and Generation in undergraduate BEng degree programmes.

MSc Professional Engineering Academic Supervisor

Research Interests

  • Development in power system analysis, protection and active and reactive power flow control
  • Stability of interconnected network and islanded systems
  • Development in microcontrollers and embedded systems for process control.
  • Machines and Electronic Drives
  • Sensors for Medical Applications
  • Research active in 'Technologies supporting healthy ageing'
  • Decentralisation of Power System Voltage Control using Artificial Neural Networks
  • Interest in research and development in Smart Grid Systems and HVDC links.
  • Research in Microprocessor Based Bus-bar Protection Relay
  • Applications of Artificial Neural Networks to Power Systems Transient Energy Margin Evaluation. 
  • Renewable and Low Carbon Electricity Generation    

PhD Supervision

Currently supervising three Ph.D. research students 
Supervisor on Project FALCON research for Network Techniques funded by LCNF

Member of Professional bodies


Excellent Different Distinctive