Staff Profile
Dr Salaheddine Ethni
Research Associate / MSc Project Supervisor
- Email: salaheddine.ethni@ncl.ac.uk
- Telephone: +44 (0) 191 208 7208
- Fax: +44 (0) 191 208 8180
- Address: School of Engineering
Merz Court
Newcastle University
Newcastle upon Tyne
NE1 7RU
Background
Background
Dr Salaheddine graduated from Bright Star University of Technology, Libya, with a B.Sc. (Hons) in Electrical Engineering in 1994, specializing in Automatic Control. He then studied for an MSc in Automation and Control, Newcastle University, UK in 2004, followed by a PhD in Electrical Engineering in 2011 from the same university. He joined the Electrical Power research group, School of Engineering, Newcastle University in September 2005.
Previous industrial experience:
Five years industry experience with Nissan, Renault and Radford.
Roles and Responsibilities:
MSc Postgraduate Supervision: EEE8097: Individual Project and EEE8084: Individual Project
Co-supervisor of several PhD students
As a project supervisor has steered 140 postgraduate students to MSc graduation so far in their areas of, power electrical converters, distributed generation systems, photovoltaic systems and automation & control.
Research Interests & Area of expertise:
Nature-inspired optimization algorithms, Control of electric drives, system identification (parameter estimation) of power electronic systems, electric power generation, condition monitoring and fault diagnosis of electrical machines, power electronic converters, adaptive control of power electronic systems, stand-alone and grid-connected PV systems and system simulation, modelling using Matlab/Simulink and Parkinson disease.
Previous Positions
Teaching fellow / MSc project supervisor (Newcastle University)
RA / MSc project supervisor (Newcastle University)
Teaching Assistant (Al Jabal Al Gharbi University)
Memberships:
Member of the Electrical Power research group https://www.ncl.ac.uk/engineering/research/eee/power/
Languages:
English, Arabic
Google Scholar: Click here.
Research
Salaheddine is a member of the Electrical Power research group and his profile can be viewed on Google Scholar
Research Interests & Area of expertise:
Nature-inspired optimization algorithms, Control of electric drives, system identification (parameter estimation) of power electronic systems, electric power generation, condition monitoring and fault diagnosis of electrical machines, power electronic converters, adaptive control of power electronic systems, stand-alone and grid-connected PV systems and system simulation, modelling using Matlab/Simulink and Parkinson disease.
Teaching
MSc Postgraduate Supervision
EEE8097: Individual Project,
EEE8084: Individual Project
co-supervisor of several PhD students
Publications
- Ethni SA, Zahawi B, Giaouris D, Acarnley PP. Comparison of Particle Swarm and Simulated Annealing Algorithms for Induction Motor Fault Identification. In: 7th IEEE International Conference on Industrial Informatics. 2009, Cardiff, Wales: IEEE.
- Ethny SA, Acarnley PP, Zahawi B, Giaouris D. Induction machine fault identification using particle swarm algorithms. In: International Conference on Power Electronics, Drives and Energy Systems, 2006 (PEDES '06). 2006, New Delhi, India: IEEE.
- Ethni S, Gadoue S, Zahawi B. Induction machine Winding Faults Identification using Bacterial Foraging Optimization technique. In: 7th IET international conference on Power Electronics, Machines and Drives (PEMD). 2014, Manchester, UK: IET.
- Abushafa O, Gadoue S, Dahidah M, Atkinson D, Ethni S. Control Strategies for Capacitor Voltage Balancing in Modular Multilevel Converters. In: 7th International Renewable Energy Congress (IREC). 2016, Hammamet, Tunisia: IEEE.
- Ethni S, Gadoue S, Zahawi B. Inter-turn Short Circuit Stator Fault Identification for Induction Machines using Computational Intelligence Algorithms. In: IEEE International Conference on Industrial Technology. 2015, Seville, Spain: IEEE.
- Khalfalla H, Ethni S, Al-Greer M, Pickert V, Armstrong M, Phan V. An Adaptive Proportional Resonant Controller for Single Phase PV Grid Connected Inverter Based on Band-Pass Filter Technique. In: 11th IEEE International Conference on Compatibility, Power Engineering (CPE-POWERENG). 2017, Cadiz, Spain: IEEE.