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Contact Information
About
About
My name is Muhammad Ibrahim Abd Allah Muhammad Azeez. I am currently pursuing a Ph.D. in the Department of Mechanical Engineering at the Lyle School of Engineering, Southern Methodist University (SMU), where I am a research assistant at the Biological, Sensing, Actuation, and Transport (BAST) Laboratory under the supervision of professor Minjun Kim (2024 - Present).
Previously, I served as a demonstrator in the Department of Mechanical Design and Production Engineering at Zagazig University, Egypt (April 2021 to Jan 2024). Subsequently, I held the position of assistant lecturer in the same department (Jan 2024 - July 2024).
In August 2020, I received my Bachelor's degree with an excellent degree with first-class honors from Zagazig University, followed by the completion of a Master of Science degree in December 2023, both in Mechanical Design and Production Engineering from the same institution.
Future Goals
Future Goals
Obtain a PhD degree in the major of mechanical engineering.
Become a principal robotics design engineer in one of the well-known research labs.
Fields of Interest
Fields of Interest
Robotics.
Magnetic Actuation.
Dynamics and Control.
Modeling and simulation.
Optimization.
Academic Awards
Academic Awards
Fully funded PhD scholarship (2024)
Certificate of Academic Excellence from the University’s Faculty Members Club. (2022)
Recipient of University Annual Academic Distinction Award. (2016–2020)
Recipient of High School Distinction Award. (2015)
Master Experience
Master Experience
Familiar with Python, MATLAB, Solidworks, Grapher, and MSC Adams.
Vision-based control of modular robots.
Dealing with the Helmholtz coil system to manipulate small-scale robots.
Dealing with various Fused Filament Fabrication (FFF) devices (Resin and extruder 3D printing).
Experience in mathematical, MSC ADAMS, and Simscape modeling.
Trajectory tracking and path planning of a robotic manipulator.
Developing control algorithms for any DOF rigid-flexible robotic systems.
Optimizing complex systems and processes with metaheuristic algorithms.
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