Ayman El-Hag

Ayman El-Hag received his PhD degree from the University of Waterloo in 2003. He joined the Saudi Transformer Co. as a quality control and testing engineer from 1993 to 1999. His main duties included implementation of ISO 9001 provisions and the testing of distribution transformers as per IEC 60076.

Currently, Dr. El-Hag is an Associate Professor, Teaching Stream in the Department of Electrical and Computer Engineering at the University of Waterloo. His main area of interest is condition monitoring and diagnostics of electrical insulation. Dr. El-Hag received funding from NSERC and the Qatar foundation to conduct research related to the inspection of outdoor ceramic insulators, transformers and the design of non-ceramic insulators. The total value of the funds is more than two million Canadian dollars. He has published many referred journal and conference papers in the area of monitoring of outdoor insulators and transformers.

Dr. El-Hag is a registered engineer in Ontario, a senior member of IEEE, a guest editor for Energies special issue “High Voltage Engineering and Application”, was an associate editor for the IEEE Dielectric and Electrical Insulation Transaction (2018-2019) and the middle east editor for the IEEE Insulation magazine (2016-2018). He is also a member of the IEEE outdoor insulation committee and the IEEE Std 1523 (IEEE Guide for the Application, Maintenance, and Evaluation of Room Temperature Vulcanizing (RTV) Silicone Rubber Coatings for Outdoor Insulation Applications).

• Condition monitoring and diagnostics of electrical insulation.
• Partial discharge measurement.
• Design of electrical insulating materials.
• Electric stress control.
• Pulse power technology.
• Energy management and smart grid.
• Power system transients
• Engineering education.

• 2004, Doctorate Electrical and Computer Engineering, University of Waterloo, Canada
• 1998, Master of Science Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia
• 1993, Bachelor of Science (BSc) Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia

• 2022 - James A. Field Teaching Excellence Award, Department of Electrical and Computer Engineering, University of Waterloo
• 2012 - Award to recognize excellence in teaching at the college of engineering at the American University of Sharjah

• AE 123 - Electrical Circuits and Instrumentation
  • Taught in 2021, 2022, 2023, 2024
• CIVE 123 - Electrical Circuits and Instrumentation
  • Taught in 2021, 2022, 2023
• ECE 204 - Numerical Methods
  • Taught in 2019, 2020, 2023, 2024
• ECE 260 - Electromechanical Energy Conversion
  • Taught in 2022, 2023, 2024
• ECE 6609PD - High Voltage Engineering Applications
  • Taught in 2023
• ENVE 123 - Electrical Circuits and Instrumentation
  • Taught in 2021, 2022, 2023
• GENE 123 - Electrical Circuits and Instrumentation
  • Taught in 2019, 2020
• GEOE 123 - Electrical Circuits and Instrumentation
  • Taught in 2021, 2022, 2023
• ME 269 - Electromechanical Devices and Power Processing
  • Taught in 2022, 2023, 2024
• MTE 481 - Mechatronics Engineering Design Project
  • Taught in 2019, 2020, 2021
• MTE 482 - Mechatronics Engineering Project
  • Taught in 2019, 2020, 2021, 2022
• NE 140 - Linear Circuits
  • Taught in 2024

* Only courses taught in the past 5 years are displayed.

• Ahmad Nayyar Hassan and Ayman El-Hag, Two-Layer Ensemble-Based Soft Voting Classifier for Transformer Oil Interfacial Tension Prediction, Energies, 1, 2020
• Amr Ibrahim, Ahmad Dalbah, Ayaat Abualsaud, Usman Tariq and Ayman El-Hag, Application of Machine Learning to Evaluate Insulator Surface Erosion, IEEE Transactions on Instrumentation and Measurement, , 2020
• Daouda Koné, Refat Atef Ghunem, Ladji Cissé, Yazid Hadjadj and Ayman H. El-Hag, Effect of Residue Formed during the AC and DC Dry-Band Arcing on Silicone Rubber Filled with Natural Silica, IEEE Transactions on Dielectrics and Electrical Insulation, , 2019
• Amir Abbas Soltani and Ayman El-Hag, Denoising of Radio Frequency Partial Discharge Signals Using Artificial Neural Network, Energies, , 2019
• Alhaytham Alqudsi and Ayman El-Hag, Application of Machine Learning in Transformer Health Index Prediction, Energies, , 2019
• Satish Polisetty, Ayman El-Hag and Shesha Jayaram, Classification of Common Discharges in Outdoor Insulation Using Acoustic Signals and Artificial Neural Network, IET High Voltage, , 2019
• Kamel Benhmed, Abdelniser Mooman, Abdunnaser Younes, Khaled Shaban and Ayman El-Hag, Feature Selection for Effective Health Index Diagnoses of Power Transformers, Power Engineering Letters, IEEE Transactions on Power Delivery, , 2018
• Abdelrahman K. Abouzeid, Ayman El-Hag and Khaled Assaleh, Equivalent Salt Deposit Density Prediction of Silicone Rubber Insulators under Simulated Pollution Conditions, Electric power components and Systems, , 2018
• Alhaytham Alqudsi and Ayman El-Hag, Assessing the Power Transformer Insulation Health Condition Using a Feature-Reduced Predictor Model, IEEE Transactions on Dielectrics and Electrical Insulation, , 2018
• Ali Wadi, Wasim Al-Masri, Wisal Siyam, Mamoun F. Abdel-Hafez, Ayman H. El-Hag, Accurate Estimation of Partial Discharge Location using Maximum Likelihood, IEEE Sensors Letters, , 2017