Arvin Tashakori

Papers

Total Citations

119

H-Index

About

Arvin Tashakori is a leading researcher at the intersection of wearable technology, machine learning, and human-computer interaction. His work centers on developing intelligent, stretchable textile-based sensors that capture complex hand movements and object interactions with unprecedented precision. Tashakori’s most notable contribution is his 2024 paper on machine learning-powered smart textile gloves, which has already garnered 119 citations—a testament to its immediate impact on the field. This work demonstrates how combining flexible electronics with advanced algorithms can enable real-time gesture recognition and tactile sensing, opening new possibilities for prosthetics, virtual reality, and robotic teleoperation. By integrating stretchable materials with deep learning models, Tashakori has addressed key challenges in wearable sensing, such as durability and accuracy under dynamic conditions. His research not only advances fundamental understanding of soft robotics and sensor design but also provides practical solutions for assistive technologies. With a growing citation record and a focus on translating lab innovations into real-world applications, Tashakori is shaping the future of how humans interact with machines through intuitive, wearable interfaces.