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.
