Alumni
False
Eng.
Ghadah K. Shehadah
Teaching Assistant
Work Email
Office Location
N04C1066
Specialty
Power systems
Research Interests
- Renewable energy
- Smart grid
- Power system economics
Education
Degree | Field | Institution | Year |
---|---|---|---|
M.S. | Electrical Engineering | Kuwait University | 2011–2015 |
B.Eng. | Electrical Engineering | Kuwait University | 2006–2011 |
Journal Papers
- Ghannam, M., Abdulraheem, Y., & Shehada, G. (2016). Interpretation of the degradation of silicon HIT solar cells due to inadequate front contact TCO work function. Solar Energy Materials and Solar Cells, 145, 423–431. https://doi.org/10.1016/j.solmat.2015.11.007
- Ghannam, M., Shehadah, G., Abdulraheem, Y., & Poortmans, J. (2015). On the possible role of the interfacial inversion layer in the improvement of the performance of hydrogenated amorphous silicon/crystalline silicon heterojunction solar cells [HIT]. Solar Energy Materials and Solar Cells, 132, 320–328. https://doi.org/10.1016/j.solmat.2014.09.008
Conference Papers
- Ghannam, M., Shehadah, G., Abdulraheem, Y., & Poortmans, J. (2013). Basic understanding of the role of the interfacial inversion layer in the operation of silicon solar cells with a-Si/c-Si heterojunction (HIT). In the 28th European Photovoltaic Solar Energy Conference and Exhibition, Paris, France (Vol. 30).
Experience (Academic)
Institution | Designation | Period |
---|---|---|
Kuwait University | Teaching Assistant | 2017–Present |
American University of the Middle East | Instructor | 2014–2017 |
Kuwait University | Research Assistant | 2013–2014 |
Kuwait Institute for Scientific Research | Research Assistant | 2011–2013 |
Courses, Workshops and Certifications
Title | Location | Period |
---|---|---|
Neurophysiology: How the Brain Thinks | UCLA Extension | 2022 |
Neural Networks and Deep Learning | DeepLearning.AI | 2022 |
Off Grid Systems | SMA Solar Academy | 2013 |
Grid-connected inverter | SMA Solar Academy | 2013 |