Haseena Bashir Muhammad

Papers

Total Citations

107

H-Index

About

Haseena Bashir Muhammad is a researcher specializing in microelectromechanical systems (MEMS) and bioinspired tactile sensing technologies, with a focus on developing advanced sensory solutions for robotic applications. Her most notable contribution is the development of a bioinspired MEMS-based capacitive tactile sensor for a robotic finger, published in 2010, which has garnered 104 citations and stands as a landmark work in the field of artificial touch sensing. This research drew inspiration from biological sensory systems to engineer miniaturized capacitive sensors capable of replicating the tactile capabilities of the human fingertip — a critical challenge in robotics and prosthetics. Building on this foundation, Muhammad expanded her work in her 2012 thesis, presenting the design, fabrication, and characterization of a bioinspired MEMS-based tactile sensor array for an artificial finger. This research comprehensively explored various transduction methods, advancing the understanding of how artificial systems can mimic natural touch perception. Her work sits at the compelling intersection of biomimetics, microsystems engineering, and robotics, addressing real-world challenges in creating dexterous, sensing-capable artificial hands. Her contributions have meaningfully advanced the development of next-generation robotic and prosthetic sensory technologies.