Ebrahim Khodaie | Social Sciences | Best Researcher Award

Best Researcher Award

Ebrahim Khodaie — University of Tehran

Ebrahim Khodaie
Affiliation University of Tehran
Country Iran
Scopus ID 23492563700
Documents 64
Citations 64
h-index 4
Subject Area Social Sciences
Event World Top Scientist Awards
ORCID 0000-0002-5634-5003

Ebrahim Khodaie is a researcher affiliated with the University of Tehran whose work focuses on educational assessment, psychometrics, learning analytics, and quantitative methodologies in the social sciences. His scholarly contributions emphasize evidence-based approaches to educational measurement and academic evaluation.[1]

Abstract

This article presents an overview of Ebrahim Khodaie’s academic profile in consideration for the Best Researcher Award. His work spans educational measurement, psychometric modeling, data mining, and learning analytics. Through interdisciplinary research, he has contributed to methodological advancements in assessment and educational decision-making.[2]

Keywords

Educational Assessment, Social Sciences, Psychometrics, Learning Analytics, Data Mining, Item Response Theory, Academic Evaluation.

Introduction

Educational assessment research increasingly depends on statistical and computational techniques for evaluating learning outcomes. Ebrahim Khodaie has contributed to this field through studies focused on fairness, predictive analytics, psychometric evaluation, and evidence-based educational methodologies. His work reflects a strong commitment to quantitative educational research.[3]

Research Profile

As a scholar at the University of Tehran, Khodaie has developed expertise in educational measurement and social science analytics. His publications address assessment systems, student performance evaluation, and statistical modeling techniques. His ORCID and Scopus records demonstrate continuous engagement in international scholarly communication.[1]

Research Contributions

Khodaie’s contributions include innovative approaches to cut-score determination, fairness in classroom assessment, educational data mining, and item response theory applications. His studies provide practical insights for researchers, institutions, and policymakers seeking reliable educational evaluation frameworks.[2]

Publications

  • Data-driven Cut Score Method Based on IRT, Clustering, and Gaussian Otsu Thresholding (2026).
  • Comparative Approach to Define Cutoff Scores Using Youden Index, Hurwicz Criterion and MLP Neural Networks (2025).
  • Fairness in Classroom Assessment: A Systematic Review (2022).
  • Application of Data Mining Techniques in Determining Student Academic Failure (2020).
  • Family Background and Socioeconomic Status Effects on Educational Performance (2016).

Research Impact

The researcher’s publications contribute to contemporary discussions on educational assessment quality and predictive learning analytics. His studies support improved measurement reliability, assessment fairness, and data-informed academic decision-making. These contributions have relevance across educational institutions and research communities.[4]

Award Suitability

The Best Researcher Award recognizes scholarly excellence, research quality, and sustained academic contribution. Khodaie’s publication portfolio and focus on rigorous methodological development align with the principles of academic recognition programs that emphasize innovation, impact, and scientific integrity.[5]

Conclusion

Ebrahim Khodaie has established a scholarly profile centered on educational measurement, data analytics, and social science research. His contributions demonstrate the value of quantitative methodologies in improving educational assessment practices. These achievements support consideration for recognition through international academic award programs.

References

  1. ORCID. (2026). Ebrahim Khodaie ORCID Record.
    https://orcid.org/0000-0002-5634-5003
  2. Parsaeian M, Khodaie E, Naderi H. Data-driven Cut Score Method Based on IRT, Clustering, and Gaussian Otsu Thresholding. Behaviormetrika. 2026.
    DOI:  https://doi.org/10.1007/s41237-026-00298-5
  3. Parsaeian M, Khodaie E, Izanloo B, Salehi K, NaghiZadeh S. Comparative Approach to Define Cutoff Scores Using Youden Index, Hurwicz Criterion and MLP Neural Networks. SN Computer Science. 2025.
    DOI: https://doi.org/10.1007/s42979-025-03974-7
  4. Khodaie E. Fairness in Classroom Assessment: A Systematic Review. The Asia-Pacific Education Researcher. 2022.
    DOI: https://doi.org/10.1007/s40299-021-00636-z
  5. Khodaie E. Application of Data Mining Techniques in Determining the Accuracy of the Models Predicting Student Academic Failure. Journal of Ilam University of Medical Sciences. 2020.
    DOI: https://doi.org/10.29252/sjimu.28.1.36

Nurul Azita Salleh | Social Sciences | Best Researcher Award

Assoc Prof Dr. Nurul Azita Salleh | Social Sciences | Best Researcher Award

Lecturer Universiti Utara Malaysia Malaysia

Associate Professor Dr. Nurul Azita Salleh is a dedicated academic in the field of technology management and logistics at Universiti Utara Malaysia. With a strong foundation in education technology, construction management, and green technology, she is committed to advancing knowledge in her areas of specialization. Dr. Salleh has made significant contributions to environmental and waste management, earning recognition both nationally and internationally.

profile

Scopus.com

Google scholar.com

Education 🎓

Dr. Salleh earned her PhD in Education Technology from Universiti Kebangsaan Malaysia in 2014. She also holds an M.Sc. in Project Management (2003) and a B.Sc. in Construction Management (2002) from Universiti Sains Malaysia. Additionally, she completed a Diploma in Quantity Surveying at Politeknik Kota Bharu Kelantan in 1999, showcasing her extensive educational background and expertise in construction and project management.

Experience 💼

Dr. Salleh has extensive experience in academia and research, focusing on construction management, safety, and environmental sustainability. She has successfully led various national and international research projects, including studies on solid waste management and the impacts of COVID-19 on farmers. Her roles have included mentoring graduate students and contributing to innovative research that informs best practices in her fields of expertise.

Research Interests 🔍

Her main research interests encompass construction management, construction safety, and environmental and waste management. Dr. Salleh actively investigates critical success factors in waste management systems, promoting green technologies and sustainability practices. She is particularly interested in how agricultural practices can be enhanced through environmentally friendly approaches, aligning with her commitment to sustainable development.

Awards 🏆

Dr. Salleh has received numerous accolades for her outstanding contributions to research and innovation. Notably, she was awarded a Silver Award at the Seoul International Invention Fair in 2014, as well as a Gold Award at the International Invention, Innovation and Technology Exhibition (ITEX) the same year. Additionally, she received the Best Paper Award at the 3rd Conference on Technology and Operations Management in 2021, and the Best Supervisor Award for her PhD students in 2021.

Publications Top Notes📚:

Dr. Salleh has an impressive publication record, contributing to various refereed journals and conference proceedings. Her notable works include:

Nur Khairiah Muhammad, Nor Hasni Osman & Nurul Azita Salleh (2024). Assessment of Data Quality Dimensions Influencing Big Data Analytics Role in Sustainable Development Growth Performance. Journal of Global Business and Social Entrepreneurship, 10(28), 94-104. Link to Publication

Maheera Mohamad, Nurul Azita Salleh, et al. (2023). Investigation of the Potential of Empty Fruit Bunch (EFB) and Pressmud for the Removal of Heavy Metals from Wastewater. Compendium by PaperASIA, 39(6b), 96-105. Link to Publication