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Table of Contents

Interest Research Area

  • Machine Learning: With a focus on advanced machine learning methodologies, including supervised, unsupervised, and semi-supervised learning.
  • Data and Text Mining: Specializing in knowledge discovery, text mining, text classification, and text analytics, contributing to substantial advancements in these domains.
  • Artificial Intelligence: Exploring the multifaceted dimensions of AI, including pattern recognition and automatic data processing.
  • Sentiment and Social Network Analysis: Employing sophisticated techniques to analyze social networks and gauge sentiment accurately.
  • Predictive and Statistical Analytics: Utilizing robust predictive models for effective statistical data analysis, feature extraction, and data preparation.
  • Web Mining: Focusing on semantic web analysis to glean insights and enhance the web experience.
  • Clustering and Classification:
    Employing advanced clustering and classification techniques to process and analyze large datasets.

Dr. Khaled Alomari

Associate Professor of Information Technology 

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About

Dr. Khaled Alomari is a seasoned Associate Professor of IT at Abu Dhabi University, with a robust background spanning various facets of Information Technology. His experience ranges from roles as an Instructor of IT, Senior Instructor, Assistant Professor, and an Academic Coordinator at Abu Dhabi University to a Computer Teacher and Trainer in Jordan. Dr. Alomari’s academic qualifications are equally impressive, including a Ph.D. in Computer Science and a Master of Business Administration. He has made significant contributions to the field with numerous publications, showcasing his in-depth research and knowledge. Dr. Alomari’s extensive training certifications and courses reflect his commitment to continuous learning and expertise in areas like Microsoft technologies, instructional design, and remote work foundations. His diverse teaching portfolio covers subjects from computer skills and data analysis to entrepreneurship and management information systems, underscoring his multifaceted proficiency in the realm of IT and education.

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Experience

Associate Professor of IT - Abu Dhabi University- UAE

2023 — Present

2018 : 2023

2020 : 2022

2015 : 2018

2012 : 2015

EDUCATION

2014 : 2017 – British University in Dubai (BUID)

2018 : 2021 – Abu Dhabi University

2006 : 2009 – Arab Academy for Banking and Financial Sciences (AABFS)

2001 : 2005 – Jerash Private University

Publication

  1. Mahade, A., Elmahi, A., Alomari, K. M., & Abdalla, A. A. (2025). Leveraging AI-driven insights to enhance sustainable human resource management performance: moderated mediation model: evidence from UAE higher education. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-01114-y

  2. Abubakr, A. A. M., khan, F., Alomari, K. M., Sahal, M. S. G., Yousif, N. A. I., & Yousif, H. K. (2025). The role of the internal auditor, stakeholders, and external auditor in discovering and reducing creative accounting practices in UAE companies. Security Journal, 38(1). https://doi.org/10.1057/s41284-025-00478-0

  3. Salloum, S.A., Alomari, K.M., Alfaisal, A.M. et al. Emotion recognition for enhanced learning: using AI to detect students’ emotions and adjust teaching methods. Smart Learn. Environ. 12, 21 (2025). https://doi.org/10.1186/s40561-025-00374-5
  4. Mahade, A., Elmahi, A., Abdalla, A.A., Said, R.A. and Alomari, K.M. (2025), Investigating the Association Between Human Resource Management Practices and Job Autonomy on Faculty Job Performance: Evidence From UAE Higher Education Sector. J Public Affairs, 25: e70009. https://doi.org/10.1002/pa.70009
  5. Mbaidin, H. O., Alomari, K. M., Sbaee, N. Q., AlMubydeen, I. O., & Chindo, U. M. (2024). The innovation role of artificial intelligence using data analytics to influence sustainable business practices and firms’ profitability in cars industry. Journal of Infrastructure, Policy and Development, 8(11), 4963. https://doi.org/10.24294/jipd.v8i11.4963
  6. Mohammed, A. A., Alomari, K. M., & Yousif, H. K. (2025). How does the External Auditor’s Commitment to Professional Ethics Affects the Reduction of Creative Accounting Practices in Companies? Evidence from External Audit Offices in the UAE–2024. In B. Alareeni & I. Elgedawy (Eds.), Studies in Systems, Decision and Control. Opportunities and Risks in AI for Business Development (Vol. 546, pp. 575–584). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65207-3_49
  7. AlLouzi, A. S., Alomari, K. M., & Maghaydah, S. (2024). Enhancing game classification systems with machine learning: A comparative study on techniques and legal implications. International Journal of Data and Network Science, 8(4), 2319–2332. https://doi.org/10.5267/j.ijdns.2024.5.024
  8. Mbaidin, H. O., Alomari, K. M., Sbaee, N. Q., AlMubydeen, I. O., & Chindo, U. M. (2024). The influential impact of business intelligence tools usage in establishing responsible business practices using knowledge management stages in the educational sector. Journal of Infrastructure, Policy and Development, 8(8), 4904. https://doi.org/10.24294/jipd.v8i8.4904
  9. Alomari, K. M., & Maghaydah, S. (2023b). Beyond Multivariate Analysis Methods: Proposing Sentiment Analysis as a Novel Approach in Analyzing UTAUT2 for Metaverse Adoption. In 2023 8th International Conference on Information Systems Engineering (ICISE2023). Association for Computing Machinery. https://doi.org/10.1145/3641032.3641040
  10. Mbaidin, H. O., Sbaee, N. Q., AlMubydeen, I. O., & Alomari, K. M. (2024). Key success drivers for implementation blockchain technology in UAE Islamic banking. Uncertain Supply Chain Management. Advance online publication. https://doi.org/10.5267/j.uscm.2023.11.016
  11. Mbaidin, H. O., Sbaee, N. Q., AlMubydeen, I. O., Chindo, U., & Alomari, K. M. (2024). The role of AI integration and governance standards: Enhancing financial reporting quality in Islamic banking. Decision Science Letters, 13(1), 83–98. https://doi.org/10.5267/j.dsl.2023.12.001
  12. Mbaidin, H. O., Alomari, K. M., AlMubydeen, I. O., & Sbaee, N. Q. (2024). The critical success factors (CSF) of blockchain technology effecting excel performance of banking sector: Case of UAE Islamic Banks. International Journal of Data and Network Science, 8(1), 289–306. https://doi.org/10.5267/j.ijdns.2023.9.024
  13. Allozi, A. S., Alomari, K. M., (2023). Adequate legal rules in settling metaverse disputes: Hybrid legal framework for metaverse dispute resolution (HLFMDR), International Journal of Data and Network Science 7 (2023) 1627–1642, https://doi.org/10.5267/j.ijdns.2023.8.001
  14. Maghaydah, P. Maheshwari and K. M. Alomari, “Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin,” 2023 International Conference on Business Analytics for Technology and Security (ICBATS), Dubai, United Arab Emirates, 2023, pp. 1-7, doi: https://doi.org/10.1109/ICBATS57792.2023.10111239
  15. Alomari, K. M., Mbaidin, H. O., Al Jbour, R. S. Y Allahawiah, S. R. (2022). The Impact Of Quality Mobile E-Governement Servicis on Service Usage: The Mediating Role Citizen’s Satisfaction. Journal of Theoretical and Applied Information Technology, 100(24). http://www.jatit.org/volumes/Vol100No24/3Vol100No24.pdf
  16. AlHamad, A. Q., ALOMARI, K. M., Alshurideh, M., Al Kurdi, B., Salloum, S. y Al-Hamad, A. Q. (11/16/2022 – 11/18/2022). The Adoption of Metaverse Systems: A hybrid SEM – ML Method. En 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1–5). IEEE. https://doi.org/10.1109/ICECCME55909.2022.9988215
  17. Khaled M. A. 2022. Predicting the intention to use social media among medical students in the United Arab Emirates: A machine learning approach. South Eastern European Journal of Public Health (SEEJPH), Special Volume No. 5, 2022: Modern Health Systems Developments In the United Arab Emirates. SEEJPH. DOI: https://doi.org/10.11576/seejph-5827
  18. AlHamad, M. Alshurideh, Alomari, B. Kurdi, H. Alzoubi, S. Hamouche, and S. Al-Hawary. 2022. The effect of electronic human resources management on organizational health of telecommunications companies in Jordan. International Journal of Data and Network Science 6, 2, 429–438. http://dx.doi.org/10.5267/j.ijdns.2021.12.011
  19. Hisham Mbaidin, Khaled Mohammad Alomari & Radwan Saleh Al Jbour (2021): The impact of e-services quality on citizens’ satisfaction: an applied study at al Ain municipality UAE. In International Journal of Entrepreneurship 25(5).
  20. Mobaideen, Hisham; Allahawiah, Sattam; Alomari, Khaled Mohammad (2019): The Impact of Human Resources Information Systems on Human Resources Selection and Recruitment Strategy: An applied study on Arab Potash Company in the Hashemite Kingdom of Jordan. In International Journal of Advanced Trends in Computer Science and Engineering 8 (5), pp. 2475–2484.
  21. Alomari, K. M., Alhamad, A. Q., Mbaidin, H. o., & Salloum, S. (2019). Prediction of the Digital Game Rating Systems based on the ESRB. Opción, 35(19), 1368–1393.
  22. ElSherif, H. M., Alomari, K. M., AlHamad, A. Q., & Shaalan, K. (2019). Arabic Rule-based Named Entity Recognition System Using GATE. 15th International Conference on Machine Learning and Data Mining, MLDM 2019, 1–15.
  23. Alomari K.M., Ncube C., Shaalan K. (2018) Predicting Success of a Mobile Game: A Proposed Data Analytics-Based Prediction Model. In: Mouhoub M., Sadaoui S., Ait Mohamed O., Ali M. (eds) Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science, vol 10868. Springer, Cham
  24. Alomari K.M., ElSherif H.M., Shaalan K. (2017) Arabic Tweets Sentimental Analysis Using Machine Learning. In: Benferhat S., Tabia K., Ali M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science, vol 10350. Springer, Cham.
  25. Alomari, K. M., Soomro, T. R., & Shaalan, K. (2016). Mobile Gaming Trends and Revenue Models. In K. M. Fujita H., Ali M., Selamat A., Sasaki J. (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9799, pp. 671–683). Morioka, Japan: Springer, Cham. http://doi.org/10.1007/978-3-319-42007-3_58
  26. Elsherif, H. M., Alomari, K. M., Alhaddad, A. S., & Alkatheeri, A. O. (2016). Mobile Government Services Satisfaction and Usage Analysis: UAE Government Smart Services Case Study. International Journal of Computer Science and Mobile Computing, 53(3), 291–302.
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