Talal Yusaf
Aviation Australia Pty Ltd, Australia
PhD Renewable Energy, Professor
Executive Dean - Higher Education and Emerging Technologies
Scopus ID: 23112065900
Researcher ID: C-2059-2008
Google Scholar profile: link
ORCID ID: https://orcid.org/0000-0002-5332-4792
Selected Publications:
- Hammoodi, A. K., A. Dhahad, H., H. Alawee, W., Omara, Z. M., Yusaf, T. (2023). “Pyramid solar distillers: A comprehensive review of recent techniques.” Results in Engineering, 18, 101157. doi: https://doi.org/10.1016/j.rineng.2023.101157
- Shalby, M., Gomaa, M. R., Salah, A., Marashli, A., Yusaf, T., Laimon, M. (2023). Impact of the Air Filtration in the Nacelle on the Wind Turbine Performance. Energies, 16 (9), 3715. doi: https://doi.org/10.3390/en16093715
- Nugroho, A., Mamat, R., Bo, Z., Hamzah AZMI, W., Yusaf, T., Khoerunnisa, F. (2023). Experimental assessment of tio2-poe nanolubricant stability and optimization process using one factor at a time (OFAT) based on response surface methodology. Journal of Thermal Engineering, 471–487. doi: https://doi.org/10.18186/thermal.1285208
- Ong, H. C., Masjuki, H. H., Mahlia, T. M. I., Silitonga, A. S., Chong, W. T., Yusaf, T. (2014). Engine performance and emissions using Jatropha curcas, Ceiba pentandra and Calophyllum inophyllum biodiesel in a CI diesel engine. Energy, 69, 427–445. doi: https://doi.org/10.1016/j.energy.2014.03.035
- Yusaf, T. F., Buttsworth, D. R., Saleh, K. H., Yousif, B. F. (2010). CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network. Applied Energy, 87 (5), 1661–1669. doi: https://doi.org/10.1016/j.apenergy.2009.10.009
- Ghobadian, B., Rahimi, H., Nikbakht, A. M., Najafi, G., Yusaf, T. F. (2009). Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network. Renewable Energy, 34 (4), 976–982. doi: https://doi.org/10.1016/j.renene.2008.08.008
- Najafi, G., Ghobadian, B., Tavakoli, T., Buttsworth, D. R., Yusaf, T. F., Faizollahnejad, M. (2009). Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network. Applied Energy, 86 (5), 630–639. doi: https://doi.org/10.1016/j.apenergy.2008.09.017