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About

Gulnur Kalimuldina is a leading researcher at the forefront of flexible electronics and energy harvesting, with a focus on developing advanced materials for self-powered sensing systems. Her work centers on piezoelectric and triboelectric nanogenerators (TENGs), polymer nanocomposites, and wearable sensors, addressing critical challenges in powering next-generation electronic devices. Kalimuldina’s major contributions include the preparation of piezoelectric PVDF sensors via electrospinning (21 citations), which established a foundational method for flexible sensor fabrication. She further advanced the field by engineering quenched PVDF/PMMA porous matrices for enhanced triboelectric energy harvesting and sensing (14 citations), and by incorporating MIL-125 metal-organic frameworks into TENGs for self-powered robotic gripper sensors (12 citations). Her work on key factors and performance criteria of wearable strain sensors (12 citations) provides essential guidelines for the design of high-performance, stretchable devices. Notably, her recent development of a novel pattern recognition method for TENG sensors embedded in robotic hands (2025) demonstrates the practical application of her research in soft robotics and human-machine interfaces. With a growing citation impact exceeding 60 total citations, Kalimuldina’s innovative materials and device architectures are paving the way for autonomous, energy-autonomous wearable electronics and intelligent robotic systems.