My name is Soraya Ezazipour and I am a PhD student at Oklahoma State University in Stillwater, US. My PhD research focuses on developing algorithms and theorems for a variety of issues in combinatorial optimization, integer programming, network design and analysis, and operations research. I’m also passionate about employing heuristic algorithms to solve complex optimization problems in a more efficient and timely manner than traditional methods. Artificial neural networks, genetic algorithms, and the ant colony optimization method have all proven to be quite helpful in overcoming these problems.
You can download my CV here: CV-Ezazipour
- Operations research
- Combinatorial optimization
- Design and analysis of networks
- Artificial intelligence and Machine Learning.
- PhD in Applied mathematics, Iran University of Science and Technology, 2019.
- Ms in Applied Mathematics, Tarbiat Modares University, 2009
- BSc in Applied Mathematics, Yazd University, 2006.
- Recurrent neural networks and their application in solving mathematical programming problems with equilibrium constraints.
Description: Work done for my PhD dissertation in applied mathematics. You can download its summery here : PhDProject
- Projection neural networks for solving pseudoconvex optimization problems and pseudomonotone variational inequalities.
Description: Work done for my MSc thesis in Applied Mathematics. You can download its summery here : MSProject
- Soraya Ezazipour and Ahmad Golbabai, A globally convergent neurodynamics optimization
model for mathematical programming with equilibrium constraints, Kybernetika, vol. 56
(2020), issue 3, pp. 383-409. link
- Ahmad Golbabai and Soraya Ezazipour, A projection-based recurrent neural network
and its application in solving convex quadratic bilevel optimization problems, Neural
Computing and Applications, (2019), 1-14. link
- Ahmad Golbabai and Soraya Ezazipour, A high-performance nonlinear dynamic scheme
for the solution of equilibrium constrained optimization problems, Expert Systems with
Applications, (82) (2017), 291–300.link