I am a computational scientist with engineering background and really passionate about mathematics and its real-world applications. I am motivated self-starter and analytical problem solver who views obstacles as challenges!

I have completed two master’s degrees in petroleum engineering and applied mathematics with overlapping areas of interest in fluid dynamics in porous media. As a motivated problem solver and diligent learner, I have developed proficiency in mathematical modelling and numerical skills. I have focused my applied mathematics degree on the numerical solution of fluid dynamics problems, taking graduate-level courses in numerical analysis, finite element analysis, and numerical solution of PDE problems. I have also gained significant experience adapting to different CFD packages (e.g., OpenFOAM) and programming languages for scientific computing and machine learning, including MATLAB, Python, and C++.

My research interests

I consider myself a computational scientist. I am currently focusing on learning about deep learning and computer vision.
My research interests are centered around:
– Numerical Methods for PDEs
– Optimization and Control Theory
– Machine Learning and Deep Learning

My Projects

1. Direct numerical simulations of multiphase flows
2. Data-driven control system (particularly Reinforcement Learning-Based)
3. Deep Learning for Computer vision and Digital image processing

My Career Perspective

My career perspective includes Data Analyst/Scientist, Mathematical Analyst/Modeller, Operations Research Analyst, Economic Analyst, Computational Analyst, and Scientific Software developer.

My contact information

Email: mmzallaghi@gmail.com
Skype: mmzallaghi