Profile
Naif Aljohani is an Associate Professor at the Faculty of Computing and Information Technology in King Abdul Aziz University, Jeddah, Saudi Arabia. He holds a PhD in Computer Science from the University of Southampton, UK. He received the Bachelor’s degree in Computer Education from King Abdul Aziz University, 2005. In 2009, he received the Master degree in Computer Networks from La Trobe University, Australia. His research interests are in the areas of mobile and ubiquitous computing, mobile and ubiquitous learning, learning and knowledge analytic, semantic web, Web Science ,technology enhanced learning and human computer interaction.
Education
- 2005
Bachelor degree from Computer Science DepartmentFaculty of Computing and Information Technology, King Abdulaziz University, جدة, المملكة العربية السعودية
- 2009
Master degree from Department of Computer Science & Computer EngineeringSchool of Engineering and Mathematical Sciences, LaTrobe University, Melbourne, اســـتراليا
- 2014
Doctorate degree from Computer ScienceSchool of Electronics and Computer Science, University of Southampton, Southampton, بريطانيا
Employment
- 2005-2014
Teacher Assistant, Faculty of Education, جدة, المملكة العربية السعودية
- 2014-حاليا
Assistant Professor, Faculty of Computing and Information Technology, جدة, المملكة العربية السعودية
- 2015-2017
Head of Department of Information System, Faculty of Computing and Information Technology, جدة, المملكة العربية السعودية
- 2015-حاليا
Manager of KAU Web Observatory for Web studies, Vice Presidency for Development, جدة, المملكة العربية السعودية
- 2015-حاليا
Deputy Manager of HPC Center for Technical Affairs, Vice Presidency for Development, جدة, المملكة العربية السعودية
- 2017-حاليا
Director of Decision Support Center , Vice President for Development, جدة, المملكة العربية السعودية
Research Interests
- Data Science and Big Data Analytic
- Web Science and Semantic Web
- Learning and Knowledge Analytic
- Educational Data Science and Technology Enhanced Learning
- Social Media and Network Analysis
- Scientometrics,Biblometrics and Evidence-based Policy Formulation
Scientific interests
Technology Enhanced Learning , Educational Data Science , Learning and Knowledge Analytic, Semantic Web, Web
Science, Big Data Analytics, Bibliometrics, Scientometrics and Evidence-based Policy Formulation.
Courses
| Fundamentals of Computer Network |
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| Multimedia Design |
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| Introduction to Computer Science |
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| Mobile and Pervasive Computing |
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| Entrepreneurship in IT |
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| Research methods |
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| Quantitative data analysis |
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