Erdi Kara, Ph.D. has been a Faculty Member Since 2021 and is an assistant professor for mathematics.
Erdi Kara, Ph.D., studies numerical partial differential equations applied to problems arising in fluid dynamics and mathematical oncology. In addition, he has a deep passion for machine learning applications in biomedical sciences. Dr. Kara truly enjoys working with undergraduate students. He is looking for motivated students who would like to participate in research projects mainly in two fields. In the first option, he will work with those who are excited to learn and explore machine learning with modern practices. This is a great opportunity to discover industry standard Python-based machine learning tools such as Skilearn and Pytorch along with data analytics libraries such as Numpy, Pandas and Matplotlib, etc. In the second option, those who are interested in numerical analysis and its applications can participate in research to enhance their research skills in scientific computing as well as develop new coding skills in Matlab or Maple.
Ph.D., Mathematics and Statistics, Texas Tech University, TX, US
B.S., M.S., Mathematics, Hacettepe University, Ankara, Turkey
Business Calculus
Calculus-1
Calculus-2
Calculus-3
Linear Algebra
Differential Equations
Scientific Computing
Computational Fluid Dynamics
Mathematical Oncology
Machine Learning
Tumor ablation due to inhomogeneous – anisotropic diffusion in generic 3-dimensional topologies, Erdi Kara, Aminur Rahman, Eugenio Aulisa, Souparno Ghosh, Physical Review E.
Material Point Method with Nitsche-Type Unfitted Interface Coupling Applied to Fluid Structure Interaction Problems, Eugenio Aulisa, Erdi Kara, in preparation.
Mathematics of Marriage, Erdi Kara, Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations, SIMIODE.