Associate Professor
H.Kazem@su.edu.om
Phone: +968 26850100 Extn: 168
Location: Barka building, Office no: 321
 |
 |
 |
- PhD in Electrical and Computer Engineering, Newcastle University, UK, 2009
- MSc in Electrical Engineering, University of Technology, Iraq, 1994
- BSc in Electrical Engineering, University of Technology, Iraq, 1991
- Renewable & Sustainable Energy
- Advance Electronics & Power Electronics Design
- Power Electronics
- Power Systems Analysis
- Project Management
- Calculus and Linear Algebra
- Renewable & Energy Management
- Fundamental of Electrical Engineering
- Calculus and Statistics
- Photovoltaic. Photovoltaic Power Systems. PV/T
- Renewable Energy.
- Hybrid Renewable Energy Systems Optimization
- Power Electronics and Power Quality.
- Power Systems and Electrical Machines
- Kazem, H. A., Yousif, J., Chaichan, M. T., & Al‐Waeli, A. H. (2019). Experimental and deep learning artificial neural network approach for evaluating grid‐connected photovoltaic systems. International Journal of Energy Research, 43(14), 8572-8591.
- Kazem, H. A., & Chaichan, M. T. (2019). The effect of dust accumulation and cleaning methods on PV panels’ outcomes based on an experimental study of six locations in Northern Oman. Solar Energy, 187, 30-38.
- Kazem, H. A. (2019). Evaluation and analysis of water-based photovoltaic/thermal (PV/T) system. Case Studies in Thermal Engineering, 13, 100401.
- Al-Waeli, A. H., Kazem, H. A., Yousif, J. H., Chaichan, M. T., & Sopian, K. (2020). Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance. Renewable Energy, 145, 963-980.
- Kazem, H. A., & Yousif, J. H. (2017). Comparison of prediction methods of photovoltaic power system production using a measured dataset. Energy Conversion and Management, 148, 1070-1081.
Click here to contact us directly 
General Enquiries