Dr. Okechukwu Jeremiah Obulezi, Ph.D., is a distinguished statistician whose academic trajectory, research productivity, and multidisciplinary impact make him exceptionally suitable for a Best Paper Award. With a strong foundation in Statistics from Nnamdi Azikiwe University and Abia State Polytechnic, culminating in a Ph.D. focused on developing innovative generalized distribution families through Logistic-X transformations, he has consistently advanced statistical theory and its applications. His research interests span probability distributions, machine learning models, survival analysis, competing risks, acceptance sampling, optimum sampling, mask data and censoring schemes—areas crucial to modern data-driven decision-making in engineering, biomedical sciences, public health, and socio-economic modelling. Dr. Obulezi’s publication record is extensive and impactful, with over forty peer-reviewed journal articles in reputable outlets such as Heliyon, Scientific African, Alexandria Engineering Journal, Entropy, Symmetry, AIP Advances, and Earthline Journal of Mathematical Sciences. His works introduce new probability distributions, propose enhanced estimation techniques, develop sampling plans, and apply machine learning to real-world problems such as financial volatility, disease survival modelling, COVID-19 mortality, rainfall analysis, transportation cost prediction, and biomedical datasets. His methodological sophistication and ability to translate theory into practical applications underscore his scholarly depth. Professionally, he serves as Lecturer I at Nnamdi Azikiwe University and holds several academic leadership roles, including Seminar & Project Coordinator and member of multiple university committees. His international academic influence is further demonstrated through active service as a reviewer for renowned journals under Springer, Elsevier, Taylor & Francis, and Scopus-indexed platforms. Dr. Obulezi’s conference contributions and book chapter reviews further affirm his commitment to advancing statistical knowledge. Collectively, his robust research output, innovative contributions to distribution theory, interdisciplinary relevance, and sustained scholarly engagement establish him as a highly deserving candidate for the Best Paper Award.
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