Nashmin Yeganeh – Ph.D student i Engineering

Nashmin Yeganeh is a Ph.D. student at the University of Iceland specializing in wearable technology, haptics, and human–computer interaction. She holds B.Sc. and M.Sc. degrees in Mechanical Engineering and has expertise in signal processing, system optimization and integration, programming, and the performance evaluation of haptic systems.
Her doctoral research, begun in September 2021, focuses on the VibroSleeve, a wearable vibrotactile device designed to deliver high-resolution tactile feedback through forearm stimulation. By systematically investigating the spatial and temporal parameters that shape tactile perception, her work advances the psychophysical understanding of vibrotactile processing while addressing challenges of accuracy, usability, and accessibility.
Nashmin’s research contributes to next-generation assistive technologies, sensory substitution systems for individuals with sensory impairments specially visually impaired individuals, and inclusive interaction methods in virtual and augmented reality. Her interdisciplinary approach bridges engineering and human factors, with the overarching goal of enabling reliable, real-time communication through touch

— Short Title of Project
Development of a Vibrotactile Wearable for Real-Time Information Communication

— Funding
University of Iceland – The Icelandic Technological Development Fund (Project No. 1910271) Collaborative Partners: ACUTE Lab,

— University of Iceland Timeline
September 2021 – Expected February 2026

— Purpose
This project focuses on the design and optimization of wearable vibrotactile systems by fine-tuning the parameters that influence tactile perception to ensure the effective transmission of vibrotactile information through the skin. By advancing methods of tactile feedback via the sense of touch, the research contributes to applications in assistive technology, sensory substitution for users with sensory impairments, and accessibility. The VibroSleeve delivers high-resolution tactile feedback to enhance deficient sensations, extend interaction possibilities in virtual reality and human–computer interaction, support inclusive interaction, and improve vibrotactile perception accuracy by minimizing perceptual errors, refining spatiotemporal resolution, and optimizing stimulus encoding strategies.

— Research Questions
The central research questions guiding this project are: How can vibrotactile stimulation patterns be optimized to maximize both accuracy and intuitiveness? What is the minimum