Experience

Research

  • NSF REU Intern


    • I conducted mechanical characterization of self-healing PDMS-based polymers through tensile testing to evaluate healing efficiency. During this process, I discovered a 30% increase in healing performance when alcohol was introduced during the repair process. I developed Python scripts to automate the analysis of force and distance data, which saved over 10 hours per week while improving the accuracy of stress and strain calculations through repeatable tests. Additionally, I integrated a sensor and an Arduino microcontroller into the tensile tester, enabling real-time distance measurement that improved strain rate precision by 15%.

    Presentaions

    Investigating the Relationship of Molecular Attributes and Intrinsic Self-Healing Efficiency in PDMS Based Polymers With Application Towards Coatings in UAVs
    AIAA SciTech Forum, January 8, 2025

    Self-Healing Sensors for Advanced Health Monitoring
    40th Southern Biomedical Engineering Conference, Sept 13-15, 2024

    Determination of Self-healing Efficiency for PDMS Based Polymers
    NSF-REU Embry-Riddle Aeronautical University Poster Presentations, Jul 17, 2024

    Work Experience

      Supplemental Instruction Leader, Teaching Assistant


      I boosted the student pass rate by 9% in introductory physics courses over the course of a year. I instruct up to 40 students at a time on core concepts and numerical questions, emphasizing group engagement to enhance learning. I collaborate with co-tutors to align sessions with course objectives, adjusting pacing and structure to optimize student learning outcomes.