About
I am a researcher specializing in transportation systems, assistive technologies and biomedical engineering. My work focuses on sustainable mobility solutions, accessibility improvements, and the integration of sensor technologies in engineering applications. I hold a PhD in Mechanical Engineering from UiTM and am currently a research assistant at the Malaysia Institute of Transport (MITRANS).
My goal is to drive the innovative technologies that create meaningful impact for communities. I am passionate about applying engineering and technological solutions to address real-world challenges, improve quality of life and promote inclusive, sustainable progress across various sectors.
Employment
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Universiti Teknologi MARA Researcher2024 - Present
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Universiti Teknologi MARA Teaching Asisstant2015 - 2023
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Universiti Teknologi MARA Graduate Research Assistant2014 - 2024
Education
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Universiti Teknologi MARA PhD in Mechanical Engineering2018 - 2024
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Universiti Teknologi MARA Master of Science (Mechanical Engineering)2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Quantifying Spasticity: Developing a Data-Driven Approach Through the Modified Ashworth Scale and Simulated Spasticity Model Save
- Advancements in Spasticity Management: A Design Framework with PID Integration for Upper Limb Spasticity Training Device (ULSTraD) Save
- ULSMeD: Assisted Measurement Device for Quantitative Evaluation of Upper Limb Spasticity Save
- Palm Gripper Measurement Device for Post-Stroke Rehabilitation Progressive Tracking Save
- Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision Save
- Graphical user interface programming for a spasticity diagnosis system Save
- Quantifying the Performance of Wireless Data Acquisition System to Assess Upper Limb Spasticity Save
- Velocity-Dependent Analysis During Spasticity Assessment Save
- User Interface Design for Upper Limb Spasticity Smart Diagnosis System Save
- Elucidating factors influencing machine learning algorithm prediction in spasticity assessment: a prospective observational study Save