Mr. Nikolaos Gkrekas | Mathematics | Best Researcher Award
Researcher at University of Kansas | United States
Mr. Nikolaos Gkrekas is a mathematician whose research and academic contributions bridge the domains of dynamical systems, mathematical modeling, and applied analysis. His scholarly work demonstrates an interdisciplinary approach, uniting mathematical theory with practical applications in science, engineering, and education. He has authored several peer-reviewed papers in internationally recognized journals, addressing complex phenomena such as chaos, quasi-geostrophic equations, and epidemiological models, while also exploring the evolving role of artificial intelligence in mathematics education and research. His research reveals a consistent focus on nonlinear dynamics, mathematical modeling, and the interplay between theoretical structures and real-world systems. In addition to his research, he has participated in numerous international conferences, seminars, and workshops hosted by institutions such as Harvard University, Kyoto University, and the University of Essex, reflecting his active engagement with the global mathematics community. His involvement as a peer reviewer for top-ranked journals, including Chaos, Solitons & Fractals and Nonlinear Engineering, alongside his editorial role in applied mathematics publications, underscores his academic credibility and contribution to maintaining high standards in scientific communication. Nikolaos is also affiliated with prominent mathematical societies and research groups, emphasizing his dedication to advancing mathematical sciences and fostering collaborative research. His intellectual versatility, combined with his passion for analytical problem-solving, positions him as an emerging figure in modern mathematical research, recognized for integrating rigorous mathematical theory with insightful applications to complex systems and education.
Featured Publications
Rizos, I., & Gkrekas, N. (2023). Incorporating history of mathematics in open-ended problem solving: An empirical study.
Rizos, I., & Gkrekas, N. (2022). Teaching and learning sciences within the COVID-19 pandemic era in a Greek university department.
Rizos, I., & Gkrekas, N. (2023). Is there room for conjectures in mathematics? The role of dynamic geometry environments.
Gkrekas, N. (2024). Applying Laplace transformation on epidemiological models as Caputo derivatives.
Rizos, I., & Gkrekas, N. (2022). The historical background of a famous indeterminate problem and some teaching perspectives.