Oussama Kerdjidj

Papers

Total Citations

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About

Oussama Kerdjidj is a leading researcher at the intersection of embedded systems, biomedical engineering, and human–machine interaction. His work focuses on developing intelligent, low-power hardware architectures for assistive technologies, particularly for upper-limb amputees. His most-cited paper, "Implementing Hand Gesture Recognition Using EMG on the Zynq Circuit" (2023, 25 citations), introduces a novel hardware design for real-time hand gesture recognition on the Xilinx Zynq platform (XC7Z020). This system is specifically engineered to be embedded into robotic prostheses, enabling intuitive, EMG-based control that can significantly improve the daily lives of amputees. By designing a dedicated architecture that balances performance and power efficiency, Kerdjidj addresses a critical challenge in wearable robotics: bringing sophisticated machine learning inference directly onto resource-constrained edge devices. His contributions are vital for the next generation of responsive, autonomous prosthetic limbs. With a growing citation record and a clear focus on translating algorithmic advances into practical, embedded solutions, Kerdjidj is establishing himself as a key innovator in the field of intelligent biomedical hardware.