Studetns Research

Our research group actively collaborates with students on cutting-edge projects that contribute to the advancement of e-government services. One of our students, Mohammad Shabarani, is working on enhancing the selection and integration of e-government services using AI algorithms within the CloudSim simulator. His research focuses on optimizing load balancing, power management, and resource allocation to improve the efficiency and scalability of e-government systems. The results of this project will directly benefit government entities that operate e-services, helping them optimize resource utilization, reduce operational costs, and enhance service performance. The findings will also contribute to multiple research publications and provide practical insights for improving digital service delivery in the public sector. This collaboration reflects our commitment to mentoring students, integrating research with real-world applications, and driving innovation in e-government transformation.

"Depression and anxiety in social media: Jordan case": This study, conducted by Fiaza Al Mehead, one of Prof. Evon Abu-Taieh master's degree students, explores the relationship between social media use and anxiety or depression among Arabic-speaking users in Jordan. Using TAM, telepresence, and data from 1,050 participants, it examines factors like perceived usefulness, trust, and social influence. Methods like SEM and machine learning reveal strong correlations between social media use and mental health issues.

AlHadid, I., Abu-Taieh, E., Alkhawaldeh, R., Khwaldeh, S., Masadeh, R. E., Alrowwad, A., ... & Almhai, F. (2023). Depression and anxiety in social media: Jordan case study. International Journal of Data and Network Science, 7(3), 1381-1396.

Sign Language AI Interpretation: the Sign Language AI Interpretation project aims to bridge communication gaps for the deaf and hard of hearing by utilizing AI to translate sign language into text or speech in real-time. Students will design and train machine learning models to recognize and interpret gestures accurately. This initiative combines innovation in computer vision, natural language processing, and inclusivity to promote accessible communication.

A master's thesis in Software Engineering titled "A Proposed Quality Model for Gaming as a Service Through Comparative Analysis of Cloud Gaming Platforms" was discussed at Al-Zaytouna University in Jordan. The thesis was presented by the student Rand Al-Bustani. The discussion committee consisted of Dr. Ahmad Al-Khatib, the main supervisor and chair, Dr. Ameen Shaheen, co-supervisor, Dr. Wael Jumaa Al-Zyadat, internal examiner, and Dr. Issam Al-Hadid, as an external examiner from the University of Jordan. The thesis was approved with minor revisions.

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Studetns Research