معرفی
Mohammad Narimani is a Senior Lecturer in the Department of Mechatronic Systems Engineering at Simon Fraser University’s Faculty of Applied Sciences. He holds a PhD in Mechatronics Engineering from King's College London (2011), a MASc in Electrical Engineering from Isfahan University of Technology (2001), and a B.Sc. in Electrical Engineering from Sharif & Isfahan University of Technology (1997). His teaching focuses on core mechatronic disciplines, including Control Theories, Mechatronic Design, Signal Processing, and Digital Logic Circuits.
Dr. Narimani’s research spans multiple domains:
- Biomedical Engineering: Developing machine learning models for healthcare applications like blood pressure estimation and spinal injury detection.
- Control Systems: Stability analysis in fuzzy logic-based systems and nonlinear control theory.
- Renewable Energy: Investigating fuel cell dynamics during oxygen starvation to improve efficiency and safety.
- Machine Learning: Multimodal sensing for activity recognition and physical monitoring systems.
Recent work emphasizes practical applications such as wearable sensor integration for health monitoring and smart home systems. His articles reflect a trend toward combining traditional engineering principles with modern AI-driven methodologies.
Advising and grants: No formal advisees listed, but his courses (e.g., MSE 381 Feedback Control Systems, MSE 250 Electric Circuits) suggest involvement in student mentorship. No specific grants mentioned in available texts.
Lab affiliations: Active within the Faculty of Applied Sciences’ research ecosystem, though specific lab names are not detailed in the provided materials.
