qualifications

  • Mechanical Design & Simulation Expertise
  • Machine Learning & Data Analysis
  • Engineering Research & Teaching Experience

i am mohsen masoomi ...

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... 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.

what services do i offer

  • Mechanical design and simulation (SolidWorks, MATLAB/Simulink, ABAQUS)

  • Machine learning and data analysis for engineering applications (Python, NumPy, Pandas, TensorFlow)

  • Failure diagnostics and structural optimization (FEA, vibration analysis, fatigue analysis)

  • Custom engineering software development (MATLAB GUI, automation tools)

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%