Huda Alhajjaj | AI in Education | Editorial Board Member

Published on by Computer Scientists Awards

Editorial Board Member

Huda Alhajjaj
Affiliation University of Jordan
Country Jordan
Documents 15
Citations 45
h-index 5
Subject Area AI in Education
Event Computer Scientists Awards
ORCID 0000-0003-2535-4377

Huda Alhajjaj
University of Jordan

Huda Alhajjaj is an academic researcher affiliated with the University of Jordan, Jordan, whose research interests focus on artificial intelligence in education. Her scholarly profile is associated with the application of artificial intelligence and emerging digital technologies within educational contexts.

Abstract

Huda Alhajjaj is a researcher at the University of Jordan whose academic interests include artificial intelligence in education. Her research profile reflects engagement with the intersection of computational technologies and educational practice. The available scholarly record identifies 15 documents, 45 citations, and an h-index of 5. These indicators provide a quantitative description of her documented research activity and scholarly visibility.

Keywords

  • Artificial Intelligence
  • AI in Education
  • Educational Technology
  • Intelligent Learning
  • Digital Education

Introduction

Artificial intelligence is an increasingly important area of research in contemporary education. Applications include intelligent learning environments, educational analytics, adaptive systems, digital assistance, and technology-supported teaching. Research in this field examines how computational methods can complement educational practice while considering effectiveness, accessibility, and responsible implementation. Alhajjaj’s specialization in AI in education places her academic work within this interdisciplinary research area.

Research Profile

Alhajjaj is affiliated with the University of Jordan in Jordan. Her reported scholarly record includes 15 documents, 45 citations, and an h-index of 5. These indicators offer a concise overview of her documented publication and citation activity. Scholarly assessment, however, may also consider research methodology, originality, collaboration, publication venues, and the practical relevance of individual studies. [1]

Research Contributions

AI in education encompasses a broad range of research involving intelligent computational methods and educational applications. Relevant areas include personalized learning, educational data analysis, intelligent tutoring, automated support, and technology-enhanced learning. Alhajjaj’s research specialization contributes to this broader academic discussion by focusing on the relationship between artificial intelligence and educational environments.

Publications

The available academic profile records 15 documents associated with Huda Alhajjaj. These publications form part of her documented scholarly output and provide a basis for examining her research interests and contributions. Complete bibliographic information, including individual article titles, publication venues, and DOI identifiers, should be verified through the relevant scholarly records. [2]

Research Impact

The reported 45 citations and h-index of 5 provide quantitative indicators of citation activity associated with the researcher’s scholarly output. Citation measures can vary according to field, publication age, database coverage, and disciplinary citation practices. Consequently, these metrics are best interpreted together with qualitative assessment of research contributions and scholarly relevance.

Award Suitability

Alhajjaj’s academic affiliation, documented research activity, and specialization in AI in education provide a relevant scholarly profile for consideration in the context of the Computer Scientists Awards. Her subject area corresponds with an important and rapidly developing intersection of computer science, artificial intelligence, and education. Any formal award decision remains subject to the event’s applicable nomination, evaluation, and selection procedures. [3]

Conclusion

Huda Alhajjaj’s academic profile reflects research engagement in artificial intelligence in education at the University of Jordan. Her documented output of 15 publications, 45 citations, and an h-index of 5 provides measurable evidence of scholarly activity. Her research specialization places her within an interdisciplinary field that connects artificial intelligence, educational technology, and contemporary learning practices.

References

  1. ORCID. (n.d.). ORCID profile: Huda Alhajjaj.
    https://orcid.org/0000-0003-2535-4377
  2. Google Scholar. (n.d.). Huda Alhajjaj scholarly profile.
    https://scholar.google.com/citations?user=ELpp3X8AAAAJ&hl=en&oi=sra
  3. Computer Scientists Awards. (n.d.). Official website.
    https://computerscientists.net/

 

Ms. Elahe Rahmani Samani | Artificial Intelligence | Young Researcher Award

Published on by Computer Scientists Awards

Ms. Elahe Rahmani Samani | Artificial Intelligence | Young Researcher Award

Ms. Elahe Rahmani Samani, Undergraduate Researcher, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Ms. Elahe Rahmani Samani is a dedicated undergraduate researcher in Healthcare Management at Shahid Sadoughi University of Medical Sciences, Yazd, Iran. With a strong commitment to advancing health systems through innovative technologies, she has emerged as a promising young voice in the intersection of healthcare and artificial intelligence. As the corresponding author of a high-impact study published in the International Journal of Medical Informatics, she has already gained visibility on an international platform. Elahe is also an editorial board member of a university-affiliated journal and actively engages in research collaboration, demonstrating leadership and academic excellence early in her career.

Publication Profile

ORCID

🎓 Education Background

Ms. Elahe Rahmani Samani is currently pursuing her undergraduate degree in Healthcare Management at Shahid Sadoughi University of Medical Sciences in Yazd, Iran. Her academic journey has been marked by an early passion for healthcare innovation and policy development. As a student member of the Health Policy and Management Research Center, she has access to extensive research mentorship and academic resources, which support her pursuits in AI integration in health systems. Her education equips her with both practical management knowledge and technical understanding essential for modern health leadership. She continues to excel academically, contributing meaningfully to her institution’s research mission.

💼 Professional Experience

Although still an undergraduate student, Ms. Rahmani Samani has demonstrated remarkable initiative by leading and collaborating on several research projects. Her standout experience includes serving as the primary researcher and corresponding author for a study on AI adoption in hospital settings, presented at the International Congress on Artificial Intelligence in Health. She also serves on the editorial board of a university-affiliated journal, where she helps shape academic content for peer learning. Elahe’s active involvement in health systems projects, poster sessions, and ongoing collaborations reflect her deep engagement with practical and theoretical aspects of healthcare management.

🏆 Awards and Honors

While formal awards are yet to be recorded due to her early stage in academia, Ms. Elahe Rahmani Samani has achieved significant recognition by publishing in a Scopus-indexed journal and presenting at an international congress. She earned certificates of participation from the International Congress on Artificial Intelligence in Health and is continuously contributing to scholarly work in health systems. Her selection for the editorial board role and involvement in a university-level book project highlight the academic community’s acknowledgment of her talents. Her publication is already accessible through global platforms and is poised to gain academic citations in the near future.

🔬 Research Focus

Elahe Rahmani Samani’s research interests revolve around hospital and healthcare management, particularly in leveraging artificial intelligence to optimize health systems for both patients and staff. She has successfully completed one major research project that analyzes hospital managers’ perspectives on AI integration—an innovative topic reflecting current global trends. Her work aims to influence strategic decision-making within health institutions by promoting the adoption of intelligent systems. She is also contributing to an ongoing book project in healthcare management and continues to work on four other health-related research studies, exploring themes of efficiency, technology adoption, and patient-centered care in health policy.

🧭 Conclusion

Ms. Elahe Rahmani Samani exemplifies the drive and intellect of a next-generation healthcare researcher. Her early publication in a high-impact journal and involvement in both local and international academic platforms underscore her potential to become a leader in the field. With a unique blend of management insight and technological perspective, she aims to transform how healthcare institutions approach innovation. Her commitment to research excellence, combined with her growing professional network and academic contributions, positions her as a strong contender for the Young Researcher Award. Her journey is only beginning, and she is already contributing to global discussions in health innovation.

📚 Top Publication Note

Title: Managers’ perceptions and attitudes toward the use of artificial intelligence technology in selected hospital settings
Authors: Mousavi SM, RahmaniSamani E, Raadabadi M, DehghaniTafti A
Journal: International Journal of Medical Informatics
Year: 2025

Mr. Pingjie Ou | artificial intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Pingjie Ou | artificial intelligence | Best Researcher Award

Student, Guangxi University, China

Pingjie Ou is a passionate master’s student at Guangxi University, China, specializing in edge computing, cloud computing, and machine learning. With a strong academic foundation and growing research portfolio, he is actively contributing to next-generation computing paradigms. His early contributions in deep reinforcement learning applications for vehicular networks have already gained traction within the academic community. 🧠💡

Professional Profile

Scopus

🎓 Education Background

Pingjie Ou is currently pursuing his master’s degree at Guangxi University, one of the prominent institutions in China. His academic focus lies in electrical and computer engineering, with emphasis on distributed computing and artificial intelligence. 📘🏫

💼 Professional Experience

Although a student, Pingjie Ou has engaged in substantial research activities under funded projects including The National Natural Science Foundation of China (No. 62162003) and GuikeZY24212059 supported by the Guangxi Province. His active involvement in real-time research scenarios demonstrates promising professional potential. 🔬📊

🏅 Awards and Honors

As an emerging scholar, Pingjie Ou has not yet accumulated major awards but has gained recognition through impactful publications and research citations. His growing citation record and h-index reflect the potential for future accolades. 🏆📈

🔍 Research Focus

His core research interests include edge computing, cloud computing, vehicular networks, and machine learning. He is particularly focused on cooperative caching, resource management, and optimizing network efficiency using artificial intelligence approaches such as deep reinforcement learning. 🚗☁️📶

🧾 Conclusion

Pingjie Ou is a driven young researcher dedicated to advancing intelligent computing technologies. With strong academic grounding, collaborative research exposure, and early citation impact, he stands as a promising candidate for recognition in the domain of computer science and engineering. His scholarly journey is on a clear upward trajectory. 🚀📚

📚 Publication Top Note

  1. PDRL-CM: An efficient cooperative caching management method for vehicular networks based on deep reinforcement learning
    📅 Published Year: 2025
    📖 Journal: Ad Hoc Networks
    🔗 10.1016/j.adhoc.2025.103888