Umar Asghar

Papers

Total Citations

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About

Umar Asghar’s research lies at the intersection of flexible electronics, soft robotics, and human-machine interfaces, with a specific focus on auxetic metamaterials and their application as strain sensors. His major contributions center on the design and implementation of auxetic cTPU-based soft strain sensors, which leverage negative Poisson’s ratio behavior to enhance sensitivity and conformability. Asghar’s work demonstrates how these sensors can be integrated with artificial intelligence for advanced human gait analytics, enabling precise motion tracking and healthcare diagnostics. His most cited papers, including “CTPU Based MetaMetarial Behaviour as a Soft Strain Sensor” and “Auxetic cTPU Soft Strain Sensor Augmented with Artificial Intelligence for Human Gait Analytics,” both published in 2025, have each garnered 1 citation, reflecting early-stage but promising impact in the field. By combining material science with AI-driven data analysis, Asghar addresses critical challenges in wearable electronics, such as sensor accuracy and adaptability. His research is particularly notable for its potential applications in medical rehabilitation and soft robotics, offering scalable solutions for real-time biomechanical monitoring. Asghar’s work positions him as an emerging innovator in smart materials and intelligent sensing systems.