PhD student | Shahid beheshti university | Iran
Short Bio 📚
I am Hojjatollah Shokri Kaveh, a mathematics researcher specializing in solving partial differential equations and numerical linear algebra. My research focuses on inverse problems and numerical algorithms, with a keen interest in programming.
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Education 🎓
I completed my Master’s degree at Amirkabir University of Technology under the supervision of Prof. Hojjatollah Adibi, graduating with a score of 16.50 in February 2017. Currently, I am pursuing a Ph.D. at Shahid Beheshti University of Tehran under the guidance of Prof. Masoud Hajarian.
Experience 💼
I have gained valuable teaching experience over the years. I served as a teacher at Ostadbank in Tehran for 2 years and later at Aloostad for 3 years, further enhancing my communication and pedagogical skills.
Research Interests 🧮
My research interests encompass a wide range of topics in mathematics and computer science, including MATLAB, Python, and C programming, data analysis and visualization, numerical linear algebra, numerical algorithms, partial differential equations, and inverse problems. I am passionate about applying computational methods to solve real-world mathematical challenges.
Awards 🏆
In recognition of my academic achievements, I secured the second rank in the doctoral entrance exam, highlighting my dedication and proficiency in mathematics and related fields.
Publications 📝
“Numerical Solution of Inverse Problems in Partial Differential Equations using Iterative Algorithms.” Journal of Computational Mathematics, 2022. Link
“Efficient Algorithms for Data Visualization in MATLAB: A Comparative Study.” International Journal of Numerical Analysis and Modeling, 2021. Link
“Application of Numerical Linear Algebra in Image Processing: A Case Study.” Journal of Mathematical Imaging and Vision, 2020. Link
“Advancements in Computational Methods for Solving Elliptic Partial Differential Equations.” Numerical Algorithms, 2019. Link
“Python Programming for Scientific Computing: A Practical Guide.” Journal of Computational Science, 2018. Link