Mohammad Wedyan

University of Technology Sydney, Al-Balqa Applied University

Papers

Total Citations

H-Index

About

Mohammad Wedyan’s research lies at the intersection of robotics, computer vision, and intelligent health systems, with a focus on creating practical, assistive technologies. His most-cited work, “A Wearable Robotics Assistive Device: Design, Technical Solutions, and Implementation” (2017, 9 citations), addresses a critical need in physical rehabilitation—improving upper-limb function for stroke patients. By developing a wearable robotic solution, Wedyan contributes to making rehabilitation more accessible and effective, bridging the gap between clinical robotics and real-world therapy. In computer vision, his paper “Hybrid Features for Object Detection in RGB-D Scenes” (2021) explores novel feature fusion techniques to enhance detection accuracy, a fundamental challenge for applications in surveillance, robotics, and fine-grained activity recognition. More recently, Wedyan has applied IoT principles to healthcare, as seen in “A Smart Device for a Preliminary Dental Examination Based on the Internet of Things” (2022), which responds to the pandemic’s strain on medical services by enabling remote, preliminary dental assessments. This work demonstrates his commitment to leveraging technology for accessible, low-contact care. Through these contributions, Wedyan shows a consistent drive to integrate robotics, sensing, and smart systems into solutions that directly improve human well-being and clinical practice.