Prof. Yeliz Karaca
University of Massachusetts (UMass), Department of Mathematics and Department of Neurology, MA, USA
Biography:
Yeliz Karaca is an Associate Professor of Applied Mathematics and a Researcher Professor at the University of Massachusetts Chan Medical School (UMASS), USA.
She received her Ph.D. degree in Mathematics in 2012. Along with the other awards she has been conferred, she was granted the Cooperation in Neurological Sciences and Support Award by Turkish Neurology Association as the first mathematician in Türkiye. Besides these, she holds a medical card, based on the long-term various medical and clinical-related trainings she has received and been certified, as the only mathematician entitled to it. Furthermore, she received the Outstanding Young Scientist Award in 2012 and Best Paper Awards in her specialized discipline, among the other national and international awards in different categories as well as grants. Another award of hers is Outstanding Reviewer Award (Mathematics Journal, MDPI) in 2021.
Dr. Karaca is the Editor-in-Chief of the book series named Systems Science & Nonlinear Intelligence Dynamics by World Scientific, and she has been acting as the lead editor, editor and associate editor in many different SCI indexed journals. She has books some of which are Computational Methods for Data Analysis published in 2018 by De Gruyter, an edited book named Computational Science and Its Applications – Lecture Notes in Computer Science (ICCSA 2023, with series 1-9) by Springer, another edited book entitled Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems by Elsevier in 2022, an edited book entitled Intelligent Fractal-Based Image Analysis: Applications in Pattern Recognition and Machine Vision by Elsevier and a book named Computational and Mathematical Neuroscience, Biology, & Medicine: Clinical and Medical Applications due for 2025 by Wiley-IEEE Press.
Dr. Karaca’s research interests mainly focus on complex systems sciences with applications in various terrains, applied mathematics, advanced computational methods, AI applications, computational complexity, fractional calculus, fractals and multifractals, stochastic processes, mathematical systems, different kinds of differential and difference equations, discrete mathematics, algebraic complexity, complexity science, wavelet and entropy, solutions of advanced mathematical challenges, mathematical neuroscience and biology as well as advanced data analysis in medicine and other related theoretical, computational and applied domains.