Khaled Mohammad Alomari
Academic Profile

Khaled Mohammad Alomari

Associate Professor of Information Technology · Abu Dhabi University, UAE

Machine Learning & Deep Learning Predictive Maintenance Technology Adoption Arabic NLP Data Analytics
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About

Khaled Mohammad Alomari earned his B.Sc. in Computer Science, M.Sc. in Computer Information Systems, and M.B.A. from Abu Dhabi University, and his Ph.D. in Computer Science from The British University in Dubai. He is currently an Associate Professor of Information Technology at Abu Dhabi University, UAE.

His research applies machine learning and deep learning to real-world problems across engineering, business, and the public sector — including predictive maintenance and remaining-useful-life estimation, Arabic natural language processing (sentiment analysis and named-entity recognition), and classification in healthcare and bioinformatics. A complementary strand examines digital transformation and technology adoption — metaverse and e-learning adoption, ERP implementation in higher education, e-government service quality, and the diffusion of emerging technologies — alongside cybersecurity, sustainable HRM, and IT governance. His work appears in Scopus- and Web of Science-indexed journals and at international conferences across Asia, Europe, and North America.

Machine Learning & Deep Learning

Predictive modelling, NLP, and classification across domains.

Predictive Maintenance

Health Index and remaining-useful-life (RUL) estimation.

Digital Transformation & Adoption

Metaverse, e-government, ERP, and diffusion of innovation.

Publications
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Source: Scopus via faculty.komari.org