qualifications
- Mechanical Design & Simulation Expertise
- Machine Learning & Data Analysis
- Engineering Research & Teaching Experience
i am Mohsen Masoomi …
... a mechanical engineer specializing in mechanical system design, simulation, and data-driven modeling. My expertise includes component design, vibration analysis, robot simulation, and advanced computational techniques to enhance system performance, reliability, and efficiency. With proficiency in industry-standard engineering tools and programming languages, I excel in mechanical analysis, dynamic system modeling, and AI-driven optimization.
Currently, I am a graduate researcher at Memorial University, where I integrate machine learning and AI-driven strategies into engineering solutions. My work bridges traditional analytical methods with modern AI-based modeling to develop high-performance, cutting-edge systems.
With a strong mechanical design and system analysis foundation, I am passionate about advancing engineering methodologies through innovative research and technology-driven solutions. I thrive in collaborative environments that foster innovation and problem-solving, always seeking new opportunities to enhance efficiency and optimize complex systems.
working experiences
Research Assistant – Memorial University of Newfoundland (2023–Present)
- Designed and simulated bio-inspired robots using MATLAB/Simulink and SolidWorks
- Developed machine learning models to predict wind turbine performance, improving accuracy by 15%
- Modeled and optimized vibration energy harvesting systems for improved efficiency
Teaching Assistant – Memorial University of Newfoundland (2023–Present)
- Conducted labs and supervised hands-on experiments for mechanical engineering courses
- Developed a streamlined approach for vibration measurement labs, reducing testing time by 30%
- Created automated data filtering and visualization tools in MATLAB and Excel for student reports
Research Assistant – Yazd University, Iran (2021–2023)
- Designed a wing structural solution for electric motor integration, optimizing stress distribution
- Engineered an underwater vehicle compliant with ISO standards using FEA tools
- Developed MATLAB-based software for pressure vessel design, reducing design time by 40%