Adnan Karaibrahimoglu | Biostatistics | Outstanding Contribution Award

Assoc. Prof. Dr. Adnan Karaibrahimoglu | Biostatistics | Outstanding Contribution Award

Assoc. Prof. Dr. Adnan Karaibrahimoglu | Suleyman Demirel University | Turkey

Assoc. Prof. Dr. Adnan Karaibrahimoglu is an accomplished academic in biostatistics and medical informatics, with extensive experience across higher education, government, and research institutions in Türkiye. He completed his doctoral studies in Statistics at Selçuk University after previously pursuing a Ph.D. in Biometry and Genetics at Atatürk University, building on his master’s degree in Statistics from Çukurova University and undergraduate studies in Mathematics at Middle East Technical University. Since 2017, he has served in the Department of Biostatistics and Medical Informatics at Süleyman Demirel University Faculty of Medicine, following academic appointments at Necmettin Erbakan University and administrative leadership roles at the Turkish Statistical Institute under the Ministry of Development. His earlier career includes nearly a decade as an educator in the Ministry of National Education, providing a strong foundation in teaching and statistical methodology. Dr. Karaibrahimoğlu has authored 47 scholarly documents with 271 citations across 265 citing sources and holds an h-index of 10, reflecting his influence in applied statistics, medical data analysis, categorical data modeling, and panel data approaches. He has contributed multiple book chapters, including works on categorical data structures, linear probability models, contingency table applications, and regional agricultural productivity modeling. His academic output demonstrates strong R&D competency and interdisciplinary impact, advancing quantitative methodologies for education studies, biomedical research, and applied sciences. His continued work strengthens the connection between statistical theory and real-world applications in health, agriculture, and social sciences, marking him as a leading figure in statistical research and academic development in Türkiye.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications

Asar, Y., Karaibrahimoglu, A., & Genç, A. (2014). Modified ridge regression parameters: A comparative Monte Carlo study. Hacettepe Journal of Mathematics and Statistics, 43(5), 827–841.

Duman, L., Karaibrahimoglu, A., Büyükyavuz, B. İ., & Savaş, M. Ç. (2022). Diagnostic value of monocyte-to-lymphocyte ratio against other biomarkers in children with appendicitis. Pediatric Emergency Care, 38(2), e739–e742.

Ulusan, S., Gülle, K., Peynirci, A., Sevimli, M., & Karaibrahimoglu, A. (2023). Dapagliflozin may protect against doxorubicin-induced cardiotoxicity. Anatolian Journal of Cardiology, 27(6), 339–346.

Karaibrahimoglu, A. (2014). Veri madenciliğinden birliktelik kuralı ile onkoloji verilerinin analiz edilmesi: Meram Tıp Fakültesi onkoloji örneği (Master’s thesis). Selçuk Üniversitesi, Fen Bilimleri Enstitüsü, İstatistik Anabilim Dalı.

Başbozkurt, H., Öztaş, T., Karaibrahimoglu, A., Gundogan, R., & Genç, A. (2013). Toprak özelliklerinin mekansal değişim desenlerinin jeoistatistiksel yöntemlerle belirlenmesi. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 44(2), 169–181.

Karaibrahimoglu, A., Asar, Y., & Genç, A. (2016). Some new modifications of Kibria’s and Dorugade’s methods: An application to Turkish GDP data. Journal of the Association of Arab Universities for Basic and Applied Sciences, 19(1), 1–9.

Duman, L., Cesur, Ö., Doğuç, D. K., Çelik, S., Karaibrahimoglu, A., & Savaş, M. Ç. (2020). Diagnostic value of serum pentraxin 3 level in children with acute appendicitis. Ulusal Travma ve Acil Cerrahi Dergisi / Turkish Journal of Trauma & Emergency Surgery, 26(6), 909–915.

Taşcı, H. İ., Erikoğlu, M., Toy, H., & Karaibrahimoglu, A. (2017). Course of sepsis in rats with thyroid dysfunction. Turkish Journal of Surgery, 33(3), 175–180.

Feyzioğlu, B., Teke, T., Özdemir, M., Karaibrahimoglu, A., Doğan, M., & Yavşan, M. (2014). The presence of Torque teno virus in chronic obstructive pulmonary disease. International Journal of Clinical and Experimental Medicine, 7(10), 3461–3467.

Prof. Ping-Feng Xu | Mathematical Statistics | Best Researcher Award

Prof. Ping-Feng Xu | Mathematical Statistics | Best Researcher Award

Northeast Normal University, China.

Ping-Feng Xu is the Deputy Dean at Northeast Normal University, specializing in complex network analysis, graphical models, causal inference, educational statistics, and psychological measurement. He earned his degree in Probability Theory and Mathematical Statistics from Northeast Normal University in 2010. He has held visiting positions at Hong Kong Baptist University, University of Wisconsin-Madison, Hang Seng School of Management, and Hang Seng University of Hong Kong. With a strong research background, he has contributed significantly to structural learning, latent variable selection, and high-dimensional graphical models.

Profile

Orcid

Education 🎓

Prof. Ping-Feng Xu completed his undergraduate studies at Northeast Normal University in 2010, where he majored in Probability Theory and Mathematical Statistics. Following his academic foundation, he expanded his research and professional experience through visiting scholar positions at several prestigious institutions. These include Hong Kong Baptist University, where he gained insights into advanced statistical methods, University of Wisconsin-Madison, which enhanced his expertise in complex network analysis, Hang Seng School of Management in Hong Kong, and Hang Seng University of Hong Kong, where he collaborated on projects involving educational statistics and causal inference.

Experience 🏫

Prof. Ping-Feng Xu currently serves as the Deputy Dean at Northeast Normal University, where he plays a key role in academic leadership and research direction. His professional contributions extend beyond the university, as he holds influential positions in major academic organizations. Since April 2023, he has been the Vice Chairman of the Education Statistics and Management Branch of the Chinese Society of Applied Statistics, where he helps shape the development of statistical education in China. Additionally, he has served as the Executive Director of the Data Science and Artificial Intelligence Branch of the same society since March 2018, working to promote the integration of data science and AI in applied statistics.

Research Interests 🔬

Complex Network Analysis

Graphical Models

Causal Inference

Educational Statistics

Psychological Measurement

Awards & Recognitions 🏆

Vice Chairman, Education Statistics and Management Branch, Chinese Society of Applied Statistics

Executive Director, Data Science and Artificial Intelligence Branch, Chinese Society of Applied Statistics

Selected Publications 📚

The Improved EMS Algorithm for Latent Variable Selection in M3PL Model
Applied Psychological Measurement (2025)
Contributors: Laixu Shang, Ping-Feng Xu, Na Shan, Man-Lai Tang, Qian-Zhen Zheng

Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm
Mathematics (2025)
Contributors: Shanyi Lin, Qian-Zhen Zheng, Laixu Shang, Ping-Feng Xu, Man-Lai Tang

Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
Journal of Educational and Behavioral Statistics (2024)
Contributors: Na, Ping-Feng Xu

A Generalized Expectation Model Selection Algorithm for Latent Variable Selection in Multidimensional Item Response Theory Models
Statistics and Computing (2024)
Contributors: Laixu Shang, Qian-Zhen Zheng, Ping-Feng Xu, Na Shan, Man-Lai Tang

Transmission Mechanisms of Geopolitical Risks to the Crude Oil Market—A Pioneering Two-Stage Geopolitical Risk Analysis Approach
Energy (2023)
Contributors: Jing-Wen Jiao, Jun-Ping Yin, Ping-Feng Xu, Juan Zhang, Yuan Liu