Huda Alhajjaj | AI in Education | Editorial Board Member

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/

 

JAINUL FATHIMA | Artificial Intelligence | Best Researcher Award

Dr. JAINUL FATHIMA | Artificial Intelligence | Best Researcher Award

Associate Professor, Francis Xavier Engineering College, India

📘 Dr. A. Jainul Fathima, B.Tech., M.E., Ph.D., is an innovative professor with a strong passion for fostering academic development and success for every student. With 12 years of combined experience in teaching, research, and industry, she excels in implementing technology-based curriculum delivery and assessment tools.

Profile

Scopus

Education🎓

Dr. Fathima holds a Ph.D. in Computational Drug Discovery from Kalasalingam Academy of Research and Education, where her interdisciplinary research focused on developing anti-viral drugs for dengue targets using AI techniques. She earned her M.E. in Computer Science and Engineering from Anna University with an 83% aggregate and a B.Tech. in Information Technology from Anna University with a 75% aggregate.

Experience 🛠️

👩‍🏫 With 12 years of total experience, Dr. Fathima has 6 years of teaching experience, currently serving as an Assistant Professor at Francis Xavier Engineering College. She has previously worked at K.L.N. College of Information Technology, Sethu Institute of Technology, and Kalasalingam University. Her research experience includes 3 years as a UGC Research Fellow and 2 years of teaching and instructing in Qatar. She also has 1 year of industrial experience as a Research Assistant in Computer-Aided Drug Design.

Research Interests 🔍

🔬 Dr. Fathima’s research interests are in the areas of computational drug discovery, machine learning, artificial intelligence, and bioinformatics. Her work focuses on applying advanced computational techniques to predict protein interactions and develop therapeutic solutions for diseases like dengue and Alzheimer’s.

Awards 🏆

🏆 Dr. Fathima has received several accolades, including the “Research Associate Award” from the Anti-viral Research Society in 2022, “Best Paper Award” at INCODS ’17 and NCAC ’09, and the “Outstanding Student Award” from Mepco Schlenk Engineering College.

Publications 📚

A comprehensive review on heart disease prognostication using different artificial intelligence algorithms, Computer Methods in Biomechanics and Biomedical Engineering, February 2024. Cited by 1.5

Alzheimer’s Patients Detection using Support Vector Machine (SVM) with Quantitative Analysis, Neuroscience Informatics, 2021. Cited by 0.5

IoT-Based Intelligent System for Garbage Level Monitoring in Smart Cities, International Conference on IoT, Communication and Automation Technology, 2023. Scopus Indexed

Intelligent Deep Learning Framework for Breast Cancer Prediction using Feature Ensemble Learning, IEEE Global Conference for Advancement in Technology, 2023. Scopus Indexed

Compressing Biosignal for diagnosing chronic diseases, Journal of Physics: Conference Series, 2021. Scopus Indexed