Dr Tareq Al Jaber

Dr Tareq Al Jaber

Lecturer/Assistant Professor

+44 (0)1482 463629 | T.Al-Jaber@hull.ac.uk

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Related groups

  • Computer Science

Qualifications

  • BSc
  • FHEA (University of Hull)
  • MSc (University of Hull)
  • PhD / DPhil (University of Hull)

Summary

Lecturer in Computer Science, My Ph.D. research was designing and ranking mobile health apps,

Tareq Is a Fellow of the Higher Education Academy.

He teaches on modules across the range of levels, from level 3 ) through to taught Masters. Modules include:

Level 3 " Web Skills Technology" .

Level 7 "MSc Research Project, Programming for Artificial Intelligence".

Level 7 " Fundamentals of Data Science".

Level 7 " Big Data and Data Mining" and other modules for AI and Data science ".

Tareq also supervises postgraduate project students.

Recent outputs

View more outputs

Journal Article

Application of Artificial Intelligence and Data Science in Detecting the Impact of Usability from Evaluation of Mobile Health Applications

Kayode, O., Al Jaber, T., & Gordon, N. (2024). Application of Artificial Intelligence and Data Science in Detecting the Impact of Usability from Evaluation of Mobile Health Applications. International Journal on Engineering Technologies and Informatics, 5(1), 1-9. https://doi.org/10.51626/ijeti.2024.05.00070

Neil Gordon

A literature review of fault diagnosis based on ensemble learning

Mian, Z., Deng, X., Dong, X., Tian, Y., Cao, T., Chen, K., & Jaber, T. A. (2024). A literature review of fault diagnosis based on ensemble learning. Engineering applications of artificial intelligence, 127, Article 107357. https://doi.org/10.1016/j.engappai.2023.107357

Zhibao Mian

Why the Educational Metaverse Is Not All About Virtual Reality Apps

Gordon, N., Brayshaw, M., Kambili-Mzembe, F., & Al Jaber, T. (2023). Why the Educational Metaverse Is Not All About Virtual Reality Apps. Lecture notes in computer science, 14041 LNCS, 22-32. https://doi.org/10.1007/978-3-031-34550-0_2

Neil Gordon

Creating a Classification Module to Analysis the Usage of Mobile Health Apps

Azuma, K., Al Jaber, T., & Gordon, N. (2022). Creating a Classification Module to Analysis the Usage of Mobile Health Apps. Acta Scientific Computer Sciences, 4(12), 34-42

Neil Gordon

Thesis

An evaluation framework and selection tool for education apps usability, with a case study from health education apps

Aljaber, T. (2019). An evaluation framework and selection tool for education apps usability, with a case study from health education apps. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4223074

Research interests

I am actively looking for potential PhD students, please get in touch T.Al-Jaber@hull.ac.uk

Tareq Al Jaber is currently working as a Lecturer/Assistant Professor in computer science at the School of Computer Science, University of Hull.

As a lecturer, I am leading various modules (Fundamentals of Data Science Level-7, Big Data and Data Mining Level-7). Before this, I worked as programme leader and lecturer in several universities for the last 12 years. My main teaching modules at the University of Hull are related to Artificial Intelligence, Machine learning and Data Science.

My research interests at Data Science, Machine learning, safety Machine learning Artificial Intelligence and aspects of Human-Computer Interaction (HCI), in particular User Experience, Software Evaluation, Heuristic Evaluation, Usability Evaluation and Mobile Health Education Applications.

After completing MSc in .NET Distributed Systems Development, he went on to complete a PhD in Computer Science (An evaluation framework and selection tool for education apps usability, with a case study from health education apps).

I am Guest Editor for Plos One journal

I am a member of the:

British Computer Society.

Python Data Science and Machine Learning

Postgraduate supervision

Mobile Health applications and digital health

Deploy AI to enhance the sustainability in Mobile Health applications

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