Table of Contents

tag

Contact

    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 

    user

    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.

    globe

    Experience

    Associate Professor of IT - Abu Dhabi University- UAE

    2023 — Present

    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

    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

    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. https://doi.org/10.1109/ICECCME55909.2022.9988215 

    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 Science7(4), 1627–1642. https://doi.org/10.5267/j.ijdns.2023.8.001 

    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. https://doi.org/10.11576/seejph-5827 

    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. https://doi.org/10.1007/978-3-319-60042-0_66 

    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 Technology100(24). http://www.jatit.org/volumes/Vol100No24/3Vol100No24.pdf

    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. https://doi.org/10.1007/978-3-319-92058-0_12 

    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. https://doi.org/10.1007/978-3-319-42007-3_58 

    Alomari,, K. M., AlHamad, Q. A., Mbaidin, H. O., & Salloum, S. (2019). Prediction of the Digital Game Rating Systems based on the ESRB. Opción35(19), 1368–1393. https://produccioncientificaluz.org/index.php/opcion/article/view/24085

    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 Computing5(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. https://doi.org/10.1109/ICBATS57792.2023.10111239 

    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 Entrepreneurship25(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 Engineering8(5), 2475–2484. https://doi.org/10.30534/ijatcse/2019/93852019