Alfaisal University, Saudi Arabia
Profile
ScopusÂ
Ealy Academic Pursuits 🎓
Dr. Burhanettin Ozdemir’s academic journey began with a passion for measurement and statistics, which ultimately led him to pursue a Ph.D. at Hacettepe University, Ankara. His doctoral research focused on multidimensional computerized adaptive testing (MCAT), a critical area in the advancement of educational assessments. His work, specifically on item-level dimensionality models, contributed significantly to the development of more accurate and adaptive testing systems. The ability to develop a live-CAT system capable of adaptively measuring student language abilities set the stage for his subsequent academic pursuits and laid the foundation for his future contributions in psychometrics and educational assessment.
During his time at Hacettepe University, Dr. Ozdemir deepened his understanding of the complexities of statistical methods and psychometric models, ensuring that his academic work would have a lasting impact on the field. His research addressed pressing issues in educational measurement, particularly in the realm of language testing, which remains an essential aspect of educational systems worldwide.
Professional Endeavors đź’Ľ
After completing his Ph.D., Dr. Ozdemir’s professional path took a decisive turn when he was appointed as a psychometrician at the National Centre for Assessment (NCA, Qiyas) in Saudi Arabia. His role involved applying his expertise to the development and implementation of high-stakes testing programs, primarily focused on language proficiency assessments. During his tenure from 2017 to 2019, Dr. Ozdemir contributed to refining the psychometric techniques used to evaluate test takers and ensure the validity and reliability of assessments across various domains.
In 2019, Dr. Ozdemir joined Prince Sultan University as both a faculty member and the Director of the Center for Statistics and Information (CSI). His leadership in this role was instrumental in enhancing the university’s statistical capabilities and fostering research in statistical modeling and measurement techniques. He played a pivotal role in organizing workshops and seminars that contributed to advancing statistical practices and knowledge-sharing within the academic community. Additionally, his research expanded to areas such as multilevel modeling and structural equation modeling (SEM), further enriching his contribution to educational research.
Currently, Dr. Ozdemir holds a faculty position at Alfaisal University in Riyadh, Saudi Arabia, where he continues to make a profound impact in the fields of operations management and project management. His ongoing research and teaching activities at Alfaisal University contribute to shaping the next generation of scholars in both statistical theory and applied methodologies.
Contributions and Research Focus 🔬
Dr. Ozdemir’s research has had a significant influence on the fields of adaptive testing, psychometrics, and statistical modeling. His focus on multidimensional computerized adaptive testing (MCAT) has helped to redefine how educational assessments are designed and implemented. The core of his research lies in exploring the item-level dimensionality models that aim to improve the accuracy of adaptive tests, which is crucial for both educational institutions and testing agencies worldwide.
His research in item response theory (IRT) and multistage adaptive testing (MSAT) aims to create testing systems that are both efficient and adaptive, offering a more personalized testing experience for students. Dr. Ozdemir’s work also delves deeply into language testing, which has become even more critical as educational systems strive to assess language proficiency in an increasingly globalized world.
Moreover, his contributions to structural equation modeling (SEM) and multilevel modeling have broadened the scope of statistical tools used in social sciences, education, and psychology. His research has pushed the boundaries of how complex data can be interpreted and analyzed, providing insights that inform policy, curriculum development, and assessment practices.
Accolades and Recognition 🏆
Dr. Ozdemir’s academic achievements and contributions have not gone unnoticed. His work has earned him numerous accolades and recognition both within the academic community and in professional circles. A key highlight in his career was his selection for a visiting scholar position at the University of Illinois at Urbana-Champaign (USA), under the guidance of Dr. Hua Hua Chang. This prestigious opportunity allowed him to expand his academic network and engage in high-level research collaborations, further strengthening his expertise in psychometrics and statistical modeling.
In addition, Dr. Ozdemir’s research has been featured in leading international journals and conferences, cementing his reputation as a thought leader in the fields of adaptive testing and psychometrics. His role as a mentor and research advisor has also been instrumental in guiding graduate students and junior researchers, further amplifying his impact in academia.
Impact and Influence 🌍
Dr. Ozdemir’s work has had a profound impact on the field of educational measurement and assessment. By contributing to the development of more adaptive, personalized, and accurate testing systems, his research has influenced how educational institutions worldwide approach student assessment. The multidimensional computerized adaptive testing (MCAT) systems he helped develop have made significant strides in improving the quality of language assessments, ensuring that they are both reliable and fair.
Furthermore, his leadership roles at both Prince Sultan University and Alfaisal University have allowed him to influence academic curricula, shape research priorities, and mentor the next generation of scholars and professionals in the field of statistical modeling and psychometrics. His professional work at Qiyas and other organizations has helped shape assessment practices in Saudi Arabia, contributing to the evolution of educational standards in the region.
Legacy and Future Contributions 🌱
Looking to the future, Dr. Ozdemir is committed to continuing his work in adaptive testing, psychometrics, and statistical modeling. His future research will likely delve deeper into the intersection of machine learning and adaptive assessment systems, exploring ways to integrate more sophisticated algorithms to improve the precision and flexibility of assessments.
As he continues his academic career at Alfaisal University, Dr. Ozdemir plans to expand his research into multivariate statistics and structural equation modeling (SEM), exploring new methodologies for data analysis and contributing to the growing body of knowledge in these areas. His legacy will undoubtedly live on in the students he teaches, the colleagues he mentors, and the lasting influence of his contributions to educational assessment systems around the world.
In conclusion, Dr. Burhanettin Ozdemir’s career exemplifies a relentless pursuit of excellence in the field of educational measurement and statistics. His research, leadership, and passion for advancing psychometric practices have left an indelible mark on both academia and professional testing organizations.
đź“ťNotable Publications
An Innovative Deep Learning Framework for Skin Cancer Detection Employing ConvNeXtV2 and Focal Self-Attention Mechanisms
Authors: Ozdemir, B., Pacal, I.
Journal: Results in Engineering
Year: 2025
On Theoretical and Numerical Results of Serum Hepatitis Disease Using Piecewise Fractal–Fractional Perspectives
Authors: Khan, Z.A., Ali, A., Irshad, A.U.R., Ozdemir, B., Alrabaiah, H.
Journal: Fractal and Fractional
Year: 2024
 Development and Validation of Simulation Scenario Quality Instrument (SSQI)
Authors: Mujlli, G., Al-Ghosen, A., Alrabah, R., Munshi, F., Ozdemir, B.
Journal: BMC Medical Education
Year: 2023
 Using Advanced Analysis Together with Fractional Order Derivative to Investigate a Smoking Tobacco Cancer Model
Authors: Shah, I., Eiman, Alrabaiah, H., Ozdemir, B., Irshad, A.U.R.
Journal: Results in Physics
Year: 2023
 Stability and Numerical Analysis via Non-Standard Finite Difference Scheme of a Nonlinear Classical and Fractional Order Model
Authors: Alrabaiah, H., Din, R.U., Ansari, K.J., ur Rehman Irshad, A., Ozdemir, B.
Journal: Results in Physics
Year: 2023