Vuk Stojiljkovic | Mathematical Inequalities | Young Researcher Award

Mr. Vuk Stojiljkovic | Mathematical inequalities | Young Researcher Award

 Mathematical Institute of the Serbian Academy of Sciences and Arts | Serbia

Mr. Vuk Stojiljković is a mathematics researcher specializing in functional analysis, operator theory, and inequalities in Hilbert spaces. His work focuses on numerical radius inequalities, tensorial inequalities, and applications of convexity and fractional calculus. He has authored numerous research papers in reputed international journals and contributed to advanced mathematical theory. His research demonstrates strong interdisciplinary applications across pure and applied mathematics. He has achieved significant academic impact with over 27 publications, 193+ citations, and an h-index of 9.

Citation Metrics (Scopus)

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Citations
193

Documents
27

h-index
9

 


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Featured Publications

Twice differentiable Ostrowski type tensorial norm inequality for continuous functions of selfadjoint operators in Hilbert spaces

– Electronic Journal of Mathematical Analysis and Applications, 2023 | Citations: 19

Hermite Hadamard Type Inequalities Involving (kp) Fractional Operator with (α, h−m)-p convexity

– European Journal of Pure and Applied Mathematics, 2023 | Citations: 15

Joseph Odunayo Braimah | Mathematics | Young Scientist Award

Dr. Joseph Odunayo Braimah | Mathematics
| Young Scientist Award

Ambrose Alli University, Ekpoma, Nigeria | Nigeria

Dr. Joseph Odunayo Braimah is a Nigerian statistician and academic whose expertise spans industrial statistics, reliability engineering, acceptance sampling, biostatistics, and applied statistical modelling. He holds a Ph.D. in Statistics from the University of Ilorin, Nigeria, where his doctoral research focused on evaluating the performance of truncated sampling plans. He also earned an M.Sc. and B.Sc. in Statistics from the same institution, along with a Postgraduate Diploma in Education from the National Teachers’ Institute, Kaduna. He currently serves as a Lecturer I in the Department of Mathematics and Statistics at Ambrose Alli University, Ekpoma, Nigeria. In 2024, he completed a competitive Postdoctoral Research Fellowship at the University of the Free State, South Africa, within the Department of Mathematical Statistics and Actuarial Sciences. His earlier academic roles at Al-Hikmah University and AROIF College of Advanced Studies reflect his strong contributions to teaching, curriculum development, and student mentorship. Dr. Braimah’s research covers statistical quality control, time-to-event modelling, medical statistics, epidemiology, time series analysis, and probability distributions. He has authored over 70 Scopus-indexed publications in reputable international journals and has collaborated extensively with scholars across Africa, including South Africa and Zimbabwe. His work advances understanding in public health analytics, product reliability, epidemic monitoring, and industrial process optimization. He has also developed multiple new probability distributions and innovative acceptance sampling schemes that support decision-making in quality management and risk assessment. His current project, the National Road Traffic Crash Risk Index (NRTCRi), employs spatial and multiscale statistical modelling to assess and predict road-traffic crash risks across Nigeria, contributing to improved national safety policies. He also holds the Google Data Analytics Professional Certificate and is a registered member of the Teachers’ Registration Council of Nigeria.

Featured Publications

Braimah, J. O., Sule, I., Bello, O. A., & Correa, F. M. (2025). A new modified extended generalized inverted exponential (NMEGIEx) distribution: A distribution for flexible and accurate data analysis. Contemporary Mathematics, 6. https://doi.org/10.37256/cm.6620257771

Braimah, J. O., & Correa, F. M. (2025). Reliability assessment of products with Weibull lifetimes: A two-sided linked lots deferred sampling plan (T-SLLDSP). Scientific African. https://doi.org/10.1016/j.sciaf.2025.e03039

Omaku, P. E., Braimah, J. O., & Correa, F. M. (2025). Bayesian accelerated failure time model for zero-inflated survival data with application to liver cirrhosis. Journal of Probability and Statistics, (Wiley), 1–12. https://doi.org/10.1155/jpas/5562074