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 


    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.


    Associate Professor of IT - Abu Dhabi University- UAE

    2023 — Present


    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


    • AlHamad, A. Q., Alomari, K. M., Alshurideh, M., Al Kurdi, B., Salloum, S., & Al-Hamad, A. Q. (2022). The Adoption of Metaverse Systems: A hybrid SEM – ML Method. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1–5). IEEE.
    • AlLouzi, 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(4), 1627–1642.
    • Alomari, K. M. (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)), 5.
    • Alomari, K. M., ElSherif, H. M., & Shaalan, K [Khaled]. (2017). Arabic Tweets Sentimental Analysis Using Machine Learning. In S. Benferhat, K. Tabia, & M. Ali (Eds.), Lecture Notes in Computer Science: Vol. 10350. Advances in Artificial Intelligence: From Theory to Practice (Vol. 10350, pp. 602–610). Springer International Publishing.
    • Alomari, K. M., Mbaidin, H. O., Al Jbour, R. S., & 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).
    • Alomari, K. M., Ncube, C., & Shaalan, K [Khaled]. (2018). Predicting Success of a Mobile Game: A Proposed Data Analytics-Based Prediction Model. In M. Mouhoub, S. Sadaoui, O. Ait Mohamed, & M. Ali (Eds.), Lecture Notes in Computer Science: Vol. 10868. Recent Trends and Future Technology in Applied Intelligence (Vol. 10868, pp. 127–134). Springer International Publishing.
    • Alomari, K. M., Soomro, T. R., & Shaalan, K [Khaled]. (2016). Mobile Gaming Trends and Revenue Models. In H. Fujita, M. Ali, A. Selamat, J. Sasaki, & M. Kurematsu (Eds.), Lecture Notes in Computer Science: Vol. 9799. Trends in Applied Knowledge-Based Systems and Data Science (Vol. 9799, pp. 671–683). Springer International Publishing.
    • Alomari,, K. M., AlHamad, Q. A., Mbaidin, H. O., & Salloum, S. (2019). Prediction of the Digital Game Rating Systems based on the ESRB. Opción, 35(19), 1368–1393.
    • Elsherif, H. M., Alomari, K. M., Alhaddad, A., & 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, 5(3), 291–302. Find Here
    • Elsherif, H. M., Alomari, K. M., Alhamad, A. Q., & Shaalan, K [K.]. (2019). Arabic Rule-based Named Entity Recognition System Using GATE. In P. Perner (Ed.), 15th International Conference on Machine Learning and Data Mining, MLDM 2019. Click here
    • Maghaydah, S., Maheshwari, P., & Alomari, K. M. (2023). Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1–7). IEEE.
    • Mbaidin, H. O., Alomari, K. M., & Al Jbour, R. S. (2021). The Impact of E-Services Quality on Citizens Satisfaction: An Applied Study at Al Ain Municipality UAE. International Journal of Entrepreneurship, 25(5S), 1–13. Find here
    • Mobideen, H., Allahawiah, S., & Alomari, K. M. (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. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2475–2484.