معرفی
Dr. Andreas Aristotelous is an Associate Professor in the Department of Mathematics at the University of Akron's College of Engineering and Polymer Science. His research focuses on computational mathematics, mathematical biology, and numerical analysis, with applications in biomedical modeling, fluid dynamics, and materials science. He specializes in developing and analyzing numerical methods for partial differential equations, particularly those modeling complex biological systems and physical phenomena.
His work integrates advanced computational techniques like discontinuous Galerkin methods, hybrid discrete-continuum models, and deep learning approaches to study problems such as biofilm dynamics, SARS-CoV-2 infection mechanisms, and developmental biology processes like dorsal closure in Drosophila. Recent studies emphasize heterogeneity in medical data, immune response modeling, and microgravity biofilm growth.
Dr. Aristotelous's publications span computational epidemiology, fluid dynamics, and interdisciplinary applications of mathematical modeling. He actively contributes to the scientific community through peer-reviewed articles and maintains a research website at https://blogs.uakron.edu/aaristot/.
