Aurélie Akossi, Ph.D.
Assistant Professor of Mathematics
School of Science and Engineering (SSE), International University of Grand-Bassam (IUGB)
Dr. Aurélie Akossi is an applied mathematician specializing in mathematical epidemiology and inverse and ill-posed problems. Her research focuses on stable parameter estimation for infectious disease models and the development of reliable forecasting methods under noisy data conditions. More generally, she is interested in mathematical modelling and numerical simulation in medicine.
Education
- Ph.D. in Mathematics — Georgia State University, USA (2019)
Research Interests
- Mathematical Epidemiology
- Inverse and Ill-Posed Problems
- Stable Parameter Estimation for Infectious Disease Models
- Epidemic Forecasting Methods
- Mathematical Modelling in Medicine
- Numerical Simulation
- Image Registration
Selected Publications
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"Numerical Study of Discretization Algorithms for Stable Estimation of Disease Parameters and Epidemic Forecasting"
Mathematical Biosciences and Engineering, 16(5): 3674–3693 (2019) -
"Image Registration with Optimal Regularization Parameter Selection by Learned Auto Encoder Features"
Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), 2021 (published 2022)
Dissertation
"Comparison of Various Discretization Algorithms for Stable Estimation of Disease Parameters and Forecasting in Epidemiology"
Ph.D. Dissertation, Georgia State University (2019)