Mathematics Faculty

Ph.D., Mathematics and Statistics, Texas Tech University, TX, US
B.S., M.S., Mathematics, Hacettepe University, Ankara, Turkey

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. Please see Dr. Kara's Research Statement for a more detailed description of research interests.

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.

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.