0000-0002-3877-4437 About
Abdulbasit A. Almhafdy is an assistant professor at the architecture department; College of architecture and planning, Qassim University; Head of Quality Assurance Unit ([email protected]). He received his Ph.D. degree in Building energy efficiency from Universiti Teknologi Mara (UiTM), Malaysia. He received his Master’s degree, dean listed, in Geographical Information Science and landscape modeling from the same university. His research interests include sustainability assessment in buildings, architecture acoustics, urban heat mitigation, passive design, and CFD modeling. He has a body of funded research comprising over SAR 0.5M since 2018 until the present. He is a member of the International Scientific Committee (ISC) editorial board at the Association of Behavioral Researchers on Asians (ABRA), Malaysia. He was a recipient of the Invention, Innovation, and Design Exhibition (IIDX’16) Award, Malaysia, and the Three Minutes Thesis competition (3MT’16) Award, Malaysia.
Employment
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Qassim University Assistant Professor; Head of Quality Assurance Unit2018 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Deep learning for sensible cooling and heating loads associated with solar panels of residential buildings in arid climate Save
- The effect of window design factors on the cooling load in hospitals wards Save
- Development of trust-based autonomous driving framework in New Zealand Save
- Numerical modelling of ventilation strategies for mitigating cough particles transmission and infection risk in hospital isolation rooms Save
- Airflow distribution in hospital isolation rooms with different ventilation and exhaust vent configurations Save
- Field Measurements and Human Perception to Remediate Noise Pollution in the Urban Public Parks in Saudi Arabia Save
- Techno-Environmental Assessment of Insulation Materials in Saudi Arabia: Integrating Thermal Performance and LCA Save
- Evaluating the Impact of Natural Ventilation on Indoor Thermal Conditions in Hot and Arid Climate School Buildings Save
- Machine Learning Approach in Orange Fruit Grading Using Close Range Photogrammetry Save
- The use of statistical and machine learning tools to accurately quantify the energy performance of residential buildings Save