Vyacheslav Abramov | Mathematics | Research Excellence Award

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Dr. Vyacheslav Abramov | Mathematics | Research Excellence Award

Retired Academician, Monash University | Australia

Dr. Vyacheslav Abramov is an internationally recognized mathematician whose research centers on probability theory, stochastic processes, and queueing systems, with strong applications to telecommunications, computer networks, and applied stochastic modelling. His scholarly work has made foundational contributions to the theory of Markov chains, random walks, loss systems, Toeplitz and circulant matrices, and asymptotic methods in queueing networks. He is also known for extending classical convergence tests, recurrence criteria, and fixed-point theorems to infinite-dimensional settings. His research bridges rigorous mathematical theory with practical modelling problems in engineering and networked systems.

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Featured Publications


A new criterion for recurrence of Markov chains with an infinitely countable set of states

– Theory of Probability and Mathematical Statistics, 112(5), October 2024


CONDITIONS FOR RECURRENCE AND TRANSIENCE FOR TIME-INHOMOGENEOUS BIRTH-AND-DEATH PROCESSES

– Bulletin of the Australian Mathematical Society, 109(2), May 2023

Rowena Merkel | Mathematics | Young Scientist Award

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Mrs. Rowena Merkel | Mathematics | Young Scientist Award

University of Education Freiburg | Germany

Rowena Merkel, M.Ed., is an emerging scholar and Ph.D. candidate at the Pädagogische Hochschule Freiburg, Germany, specializing in mathematics didactics and cognitive learning research. Her academic journey reflects strong interdisciplinary training, having earned a Master of Education and a Bachelor’s degree in Mathematics and Spanish from the Albert-Ludwigs-Universität Freiburg. Currently pursuing her doctoral research in Psychology and Mathematics Didactics, Rowena focuses on understanding how digital modeling tools can foster effective cognitive learning processes in developing students’ conceptual understanding of fractions. She has served as an Academic Associate at the Pädagogische Hochschule Freiburg, where she contributed to advancing digital pedagogical innovations and teaching methodologies. Her research interests span mathematics education, cognitive engagement, digital learning environments, and instructional design in STEM education. Rowena’s recent publication, Learning Activities in a Dynamic Learning Environment to Foster a Basic Fraction Concept (International Journal of Science and Mathematics Education, 2025 cited by 7 articles*), exemplifies her contributions to developing research-based digital tools for mathematics instruction. Her academic achievements demonstrate a commitment to evidence-based education, blending theory and practice to enhance cognitive development through technology-enhanced learning. Through her innovative approach, Rowena Merkel aims to bridge psychology and pedagogy, making complex mathematical concepts accessible to diverse learners. Her work holds promise for shaping the future of mathematics education, positioning her as a dynamic and deserving nominee for the Young Scientist Award.

Profile: ORCID | LinkedIn

Featured Publications

Merkel, R., Leuders, T., Reinhold, F., & Loibl, K. (2025). Learning activities in a dynamic learning environment to foster a basic fraction concept. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-025-10602-6