Associate Professor
jyousif@su.edu.om
Phone: +968 26850100 Extn: 307
Location: Rustaq building, Office no: 002
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- Ph.D. In Information Science & Technology (Artificial Intelligent &NLP) -National University of Malaysia (UKM) 2007.
- M.Sc. Computer Science, Basra University -Iraq, 1996.
- B.Sc. Computer Science, Basra University -Iraq, 1991.
- Artificial Intelligence & Expert Systems.
- Soft computing and its applications
- Neural Networks & Fuzzy Logic.
- Modeling & Visualization.
- Computer Graphics.
- System analysis & Design.
- Computer Simulation &Modeling.
- Compilers Construction.
- Data Structures with C#, C++, Pascal.
- Data Base Management System.
- Object oriented programming with C#.
- Introduction to Information Technology.
- Fundamentals of programming.
- Introduction to Computer Science & programming.
- Intelligent Agent,
- Soft Computing,
- Renewable energy,
- Forecasting Models,
- Cloud Computing, Artificial Neural Networks,
- Natural Language Processing,
- Virtual Reality.
- Ali H.A.Al-Waelia, Hussein A.Kazem, Jabar H.Yousif, Miqdam T.Chaichan, K.Sopian. “Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance”, Renewable Energy, Vol. 145 , pp963-980, January 2020, (Elsevier :Impact Factor: 6.274, SJR: 1.889, ISI, Scopus, Q1).
- Yousif, Jabar H.; N. Abdul Majeed, Saif; J. I. Al Azzawi, Fouad. 2020. "Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation" Infrastructures 5, no. 6: 45. (MDPI, ISI, Scopus)
- Kazem HA, Yousif J, Chaichan MT, Al‐Waeli AHA. Experimental and deep learning artificial neural network approach for evaluating grid‐connected photovoltaic systems. Int J Energy Res. 2019; 1–20.(John Wiley & Sons Ltd, Impact Factor: 3.34, ISI, Scopus, Q1)
- Al‐Waeli AHA, Kazem HA, Yousif JH, Chaichan MT, Sopian K. Mathematical and neural network models for predicting the electrical performance of a PV/T system. Int J Energy Res. 2019;43(10)1–18. (John Wiley & Sons Ltd, Impact Factor: 3.34, ISI, Scopus, Q1)
- Al-Waeli, A.H., Sopian, K., Yousif, J.H., Kazem, H.A., Boland, J. and Chaichan, M.T., 2019. Artificial neural network modeling and analysis of photovoltaic/thermal system based on the experimental study. Energy Conversion and Management, 186, pp.368-379. (Elsevier : Impact Factor: 8.208, ISI, Scopus, Q1-2016, ERA-2010-B, IPP 4.801 & SJR 2.92).
- Jabar H. Yousif, Hussein A. Kazem, Nebras N. Alattar and Imad I. Alhassan. “A comparison study based on artificial neural network for assessing PV/T solar energy production”, Case Studies in Thermal Engineering, 100407, 2019, (Elsevier :Impact Factor: 4.0, ISI, Scopus, Q1).
- Jabar H. Yousif, Haitham A. Al-Balushi, Hussein A. Kazem and Miqdam T, Chaichan Boland. “Analysis and forecasting of weather conditions in Oman for renewable energy applications”, Case Studies in Thermal Engineering 2018, (Elsevier :Impact Factor: 4.0, ISI, Scopus, Q1).
- Ali H A Al-Waeli, K Sopian; Hussein A. Kazem ,Jabar Yousif; Miqdam T Chaichan. “Comparison of prediction methods of PV/T nanofluid and nano-PCM system using a measured dataset and Artificial Neural Network”, Solar Energy 2018, ©Elsevier, 162,378-396, ISSN: 0038-092X. (Elsevier: Impact Factor: 4.608,, ISI, Scopus, Q1-2016 & SJR 1.54).
- Jabar H. Yousif, Hussein A. Kazem and John Boland. Predictive Models for Photovoltaic Electricity Production in Hot Weather Conditions”, Energies 2017, 10(7), 971; 2017. (MDPI: Impact Factor: 2.262, 2017, ISI, Scopus, Q1-2016, IPP 2.23 & SJR 0.69 for 2016).
- Hussein A. Kazem, Jabar H. Yousif, “Comparison of prediction methods of photovoltaic power system production using a measured dataset”, Energy Conversion and Management © Elsevier 148 (15 September 2017) 1070–1081. (Elsevier: Impact Factor: 8.208, ISI, Scopus, Q1-2016, ERA-2010-B, IPP 4.801 & SJR 2.92).
