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EISA M J ALHARBI

EISA M J ALHARBI

Faculty of Computer Studies
Faculty of Computer Studies
Dean - Faculty of Computer Studies
Contact Information
4294
ealharbi@aou.edu.kw
Office GE647

Professional Biography

Dr. Eisa has 15 years experience at Kuwait Oil Company and 3 years experience as a lecturer at the University of Brighton, UK. Strong research professional with a Doctor of Philosophy (PhD) focused on Knowledge Representation and Reasoning from the University of Brighton. Current research interests are Knowledge Representation and Reasoning, Formal Logic and Visualization.

Courses Taught

·      Learning and Information Technology

·      Introduction to Programming 

·      Python Programming 

·      Discrete Mathematics 

·      Introduction to Computing and Information Technology

·      Communication and Information Technologies – Part B 

·      Object-Oriented Programming using Java 

·      Algorithms, Data Structures and Computability 

·      Ethics, Law and the Governance in IT 

·      Data Management and Analysis 

·      Graduation Project 

Professional Experience

2023 – Present

Assistant Professor

2013 – 2017

Lecturer at University of Brighton

2007 – 2023

 Kuwait Oli Company

Research Publications

4 Alharbi, E., Howse, J., Stapleton, G., Hamie, A.: Evaluating Diagrammatic Patterns for Ontology Engineering. In: International Conference on Theory and Application of Diagrams. pp. 51–66. Springer (2016)

4 Alharbi, E., Howse, J., Stapleton, G., Hamie, A., Touloumis, A.: Visual Logics Help People: An Evaluation of Diagrammatic, Textual and Symbolic Notations. In: Visual Languages and Human- Centric Computing (VL/HCC). pp. 255–295. IEEE (2017)

4 Alharbi, E., Howse, J., Stapleton, G., Hamie, A., Touloumis, A.: The Efficacy of OWL and DL on User Understanding of Axioms and Their Entailments. In: International Semantic Web Conference. pp. 20–36. Springer (2017)

4 Alharbi, E. The Relative efficacy of Diagrams, Textual and Symbolic Logics on User Interpretation of Axioms. In: the 10th International Conference on Theory and Application of Diagrams, Graduate Symposium. Vol. 1. (2018).

4 Alharbi, E. Truth Graph: A Novel Method for Minimizing Boolean Algebra Expressions by Using Graphs . In: the 11th International Conference on Theory and Application of Diagrams. pp. 43–51. Springer (2020)


Scopus Author ID: 57190375869