Dr. Ramadan El Shatshat

Associate Professor

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Biography

Dr. Ramadan El-Shatshat is an Associate Professor in the Teaching Stream and the Director of the Electric Power Engineering program at the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on advancing distribution system engineering with particular emphasis on distribution automation, smart grids, and energy management. He explores the conversion of renewable energy sources into grid-quality AC power and is a registered Professional Engineer (P.Eng.) in the Province of Ontario, Canada. Dr. El-Shatshat has authored numerous papers in peer-reviewed journals and conference proceedings and has presented his work at national and international conferences.

Research Interests

Power Distribution Systems Smart Grids Microgrids Artificial Intelligence Applications in Power Systems Stochastic Optimization Models Distribution System Operation Planning Optimal Voltage/Reactive Power Control Deployment of Wind and Solar Power Energy Storage Systems Electric Vehicles Power Quality Analysis AI-Based Estimation and Monitoring Techniques

Awards

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University of Waterloo Outstanding Performance Award

2010-04-01
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Faculty of Engineering Distinguished Performance Award

2011-04-01
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Faculty of Engineering Distinguished Performance Award

2015-04-01
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James Field Teaching Excellence Award

2016-04-01
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University of Waterloo Outstanding Performance Award

2018-04-01

Courses

ECE 360 - Power Systems Smart Grids ECE 6604PD - Distributed Generation ECE 6614PD - Industrial Utilization of Electrical Energy ECE 662 - Power Systems Analysis Control ECE 668 - Distribution System Engineering MTE 320 - Actuators & Power Electronics

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.