Assoc. Prof. Dr. Ozgur Afsar | Analytical Chemistry | Best Researcher Award
Ege University, Turkey
Profiles
Early Academic Pursuits
Assoc. Prof. Dr. Ozgur Afsar began his academic journey at Ege University, where he pursued his Ph.D. in Physics. His early academic interests centered around complex systems and nonequilibrium thermodynamics, fields that would go on to shape his future research path. He was also affiliated with Celal Bayar University in his early years, contributing to nuclear statistical mechanics through ARDEB 3501-funded research.
Professional Endeavors
Currently serving as a faculty member at the Faculty of Science, Ege University, Dr. Afsar has also carried out prestigious postdoctoral research at the Potsdam Institute for Climate Impact Research (PIK) in Germany. His academic career is marked by a strong foundation in theoretical physics, complexity, and entropy analysis, with leadership and consultancy roles in numerous TÜBİTAK and BAP-funded national research projects.
Contributions and Research Focus
Dr. Afsar’s research delves into entropy-based complexity measures, dynamical systems, and statistical mechanics. His work has practical implications, particularly in analyzing physiological signals in neurodegenerative disorders such as Parkinson's, ALS, and Huntington’s disease. He has applied advanced mathematical models to real-world problems, blending theoretical frameworks with experimental data, and has developed robust measures for complexity in both natural and synthetic time series.
Impact and Influence
With 16 publications in high-impact journals such as Physica D, Entropy, Scientific Reports, and Chaos, Dr. Afsar has established himself as a prominent researcher in his field. His citation index of 8 reflects a growing academic footprint, supported by fruitful collaborations with renowned scholars like Prof. Dr. Juergen Kurths and Dr. Norbert Marwan. His studies on entropy, nonequilibrium states, and complex dynamics have enhanced our understanding of chaotic systems and self-organization.
Academic Cites and Collaborations
Dr. Afsar maintains an active Google Scholar profile here, where his research is accessible to the global academic community. He is deeply involved in interdisciplinary collaborations, notably with institutions in Germany and Türkiye, which amplify the international scope and relevance of his work.
Technical Skills
His expertise spans time series analysis, recurrence quantification, entropy metrics, nonextensive statistical mechanics, and computational modeling. These tools are foundational in his research on both physical systems and biological signals, revealing patterns that contribute to diagnostics and system behavior analysis.
Teaching Experience
As an associate professor, Dr. Afsar has mentored undergraduate and graduate students at Ege University, guiding them through complex theoretical and experimental physics. His consultancy role in TÜBİTAK’s BİDEB 2209-A projects also reflects his engagement in academic development and support of emerging scholars in the field of entropy analysis and dynamical systems.
Legacy and Future Contributions
Looking ahead, Dr. Afsar aims to expand the application of complexity measures to broader scientific problems, including climate dynamics and medical diagnostics. His interdisciplinary methodology and commitment to research excellence position him as a vital contributor to the evolution of statistical physics and applied mathematics. His trajectory promises to influence both theoretical exploration and practical innovation in the years to come.
Notable Publications
Recurrence Quantification Analysis at work: Quasi-periodicity based interpretation of gait force profiles for patients with Parkinson disease
Authors: O. Afsar, U. Tirnakli, N. Marwan
Journal: Scientific Reports
Year: 2018
Probability densities for the sums of iterates of the sine-circle map in the vicinity of the quasiperiodic edge of chaos
Authors: O. Afsar, U. Tirnakli
Journal: Physical Review E—Statistical, Nonlinear, and Soft Matter Physics
Year: 2010
Generalized Huberman-Rudnick scaling law and robustness of q-Gaussian probability distributions
Authors: O. Afsar, U. Tirnakli
Journal: Europhysics Letters
Year: 2013
Entropy-based complexity measures for gait data of patients with Parkinson's disease
Authors: O. Afsar, U. Tirnakli, J. Kurths
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Year: 2016
Renormalized entropy for one dimensional discrete maps: periodic and quasi-periodic route to chaos and their robustness
Authors: O. Afsar, G.B. Bagci, U. Tirnakli
Journal: The European Physical Journal B
Year: 2013