
Assistant Professor komar@su.edu.om Phone: +968 26850100 Extn: 124 Location: Rustaq building, Office no: F2-15
- PhD in Computer Science, La Trobe University, Australia, 2012.
- MSc in Intelligent Systems, University Utara Malaysia, Malaysia, 2004.
- Bachelor in Computer Science, Sebha University, Libya, 2001.
- Computer Networks,
- Sensors and Wireless Communications,
- Computer Programming,
- Distributed Systems, Operating Systems,
- System Analysis and Design,
- Software Engineering, and
- Web Development.
- Primary Research Areas: Natural Language Processing (NLP), Text Mining (TM) and Computational Linguistics (CL).
- Sub-areas include: Word Sense Disambiguation, Semantic Text Similarity, Text Clustering, Sentiment Analysis, Knowledge Discovery from Textual Collections, Internet of Things, Smart Services and Wireless Networks.
- Abdalgader, K. & Al Shibli, A. (2021). Context Expansion Approach for Graph-based Word Sense Disambiguation. Expert Systems with Applications, vol. 168, (pages 114313).
- Abdalgader, K. & Al Shibli, A. (2020). Experimental Results on Customer Reviews Using Lexicon-Based Word Polarity Identification Method. IEEE Access, vol. 8, (pp. 179955-179969)
- Abdalgader, K., Al Ajmi, R., & Saini, D. K. (2020). IoT-based system to measure thermal insulation efficiency. Journal of Ambient Intelligence and Humanized Computing, 1–14
- Abdalgader, K., & Saini, D. K. (2020). Data Streams Scheduling Approach for WiMAX Networks. Journal of Communications. vol. 15, no. 6.
- Abdalgader, K. (2017). Clustering Short Text using a Centroid-Based Lexical Clustering Algorithm. IAENG International Journal of Computer Science. vol. 44, no. 4, pp. 523-536
- Skabar, A, & Abdalgader, K. (2013), Clustering Sentence-Level Text using a Novel Fuzzy Relational Clustering Algorithm. IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 1, pp. 62-75.
- Abdalgader, K., & Skabar, A. (2012), Unsupervised Similarity-Based Word Sense Disambiguation Using Context Vectors and Sentential Word Importance. ACM Transactions on Speech and Language Processing, vol. 9, no. 1, Article 2