Hojatollah Rezaei Nejad

Tufts University, University of British Columbia

Papers

Total Citations

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About

Hojatollah Rezaei Nejad is a researcher at the forefront of flexible electronics and human-machine interaction, with a focus on developing wearable technologies for biomedical applications. His work centers on creating low-cost, highly stretchable strain sensors that can precisely monitor human motion and physiological bio-signals—a critical advancement for prosthetics, rehabilitation, and health monitoring. His most cited paper, "Low-cost ultra-stretchable strain sensors for monitoring human motion and bio-signals" (2018, 83 citations), demonstrates a scalable approach to fabricating sensors with exceptional mechanical compliance, enabling accurate tracking of complex body movements. In a notable complementary study, "Control of artificial human finger using wearable device and adaptive network-based fuzzy inference system" (2016, 7 citations), Rezaei Nejad pioneered a method to translate human finger gestures to a robotic counterpart using multiple strain sensors on a flexible finger band. This work integrates adaptive fuzzy logic control to enhance precision, showcasing his ability to bridge soft sensing with intelligent control systems. His contributions are shaping next-generation wearable devices, with potential impacts on assistive robotics and personalized healthcare.