Aspire to Achieve

    • https://www.effatuniversity.edu.sa/English/Research/Pages/default.aspx, A researcherhttps://www.effatuniversity.edu.sa/Arabic/Research/pages/default.aspx, باحث
      A researcher
    • https://www.effatuniversity.edu.sa/English/Academics/Undergraduate/, An undergraduatehttps://www.effatuniversity.edu.sa/Arabic/Academics/Undergraduate/, البكالوريوس
      An undergraduate
    • https://www.effatuniversity.edu.sa/English/Academics/Graduate/, A graduatehttps://www.effatuniversity.edu.sa/Arabic/Academics/Graduate/, الدراسات العليا
      A graduate

Research / Projects

  • Research Interests:

Research and Development, Effat University, 2013 - Present

•​ Artificial Intelligence and Machine Learning in the Wind Power Industry

• Wind Farm Layout Modeling and Optimization Using Genetic Algorithm

• Wave Energy Prediction in the Red Sea

• Modeling and Numerical Analysis of Atmospheric Water Harvesting

• Atmospheric Water Harvesting Technology: Modelling vs. Experimental Approach

• Atmospheric Icing on Wind turbines and Aircraft

• Aerodynamic Analysis and Performance Prediction of Wind Turbines

• Wind Speed Distribution Using Machine Learning

• Prediction of Wind Speed Distribution Using Artificial Neural Networks

• Solar Radiation Forecasting in Saudi Arabia Using Machine Learning

• Wind Energy in Saudi Arabia Opportunities and Challenges

• Bibliometric Analysis and Data Mining Research and Analysis

• Machine Learning Applied to Childhood Obesity, ADHD, and other Diseases

• Artificial Intelligence and Machine Learning Research: Digital Transformation

• Sustainable Development Goals. SDG#4, 7, 11

• Coping with Covid-19 in HEs

• Coping with Covid-19 Economy in the GCC Countries

• Research and Trends in COVID-19 Vaccines Using VOSviewer

• Artificial Intelligence and Covid-19: A Bibliometric Analysis

• A Survey of AI Solutions in response to the COVID-19 Pandemic in Saudi Arabia

• A Meta-Analysis of AI Application for Tracking COVID-19: The Case of UAE

• Monitoring the operation of transmission line in a smart grid system through IoT

• Smartphone-Based Human Activity Recognition using Bagging and Boosting

• ICT Education for Sustainable Development: Saudi Institutions of Higher Learning

• Powering makerspace wirelessly: Opportunities and challenges

• Makerspace: A Novel Approach to Creative Learning

• The Impact of Accreditation on Student Outcomes

• Learning Outside the Classroom through MOOCs

Research Scientists, Bombardier Chair, University Montreal, 1992-1998

Group leader for the various state-of-the-art mathematical models used to simulate ice accretion and de/anti-icing simulation on an aircraft wing sections to enhance flight safety under natural icing conditions and facilitate the certification process. The developed code, CANICE, for single/multi-element airfoils and complete wing configurations is currently used by Bombardier Aerospace in the certification process. A version of ice accretion was also coupled with CARDAAV aerodynamic wind turbine code (https://www.iopara.ca/software).
Research Associate, Ecole Polytechnique, University Montreal, 1987-1992
Group leader for the various state-of-the-art aerodynamic modeling of atmospheric turbulent wind and its effect on the loads and performance of Darrieus wind turbine. The developed computer code, CARDAAS-1D/-3D computer codes, are being used worldwide for to produce appropriate needs of VAWT designers (https://www.iopara.ca/software).
Current Research Areas/Topics: 
Renewable Energy (Wind, Solar, Wave), Artificial Intelligence, sustainability, simulation, atmospheric water harvesting, engineering education, testing and quality assurance for component-based software, knowledge management, data mining, bibliometric analysis.​​


Effat Alumnae