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Special Focus Issue on Energy-Autonomous Wearables

Research on Engineering Structures and Materials (RESM) is pleased to announce an upcoming Special Focus Issue dedicated to the latest innovations, structural designs, and advanced materials for energy-autonomous wearable systems intended for health and environmental monitoring.

Energy-autonomous wearable devices represent a paradigm shift in monitoring personal physiology and local environmental factors without relying on traditional, external charging infrastructure. By harvesting ambient energy from bodily motion, thermal gradients, or atmospheric conditions, these devices enable continuous data tracking. However, creating reliable, self-sustaining systems requires overcoming significant engineering bottlenecks, including dynamic power variability, electronic miniaturization, material breathability, and sensor longevity.

This Special Issue serves as an interdisciplinary platform for researchers, material scientists, and engineers to share pioneering research on advanced fabrication techniques, flexible electronics, hybrid energy harvesting, and intelligent power management. The objective is to highlight solutions that enhance the operational lifecycle, performance repeatability, and ergonomic comfort of future wearable technologies.

Scope and Topics

The Special Issue invites original research articles, comprehensive review papers, and detailed case studies. Topics of interest include, but are not limited to:

  • Piezoelectric and bioenergy harvesting mechanisms for motion-driven medical sensors

  • Flexible, stretchable, and breathable electronics for durable environmental monitoring

  • Thermoelectric energy scavenging for continuous, long-term wearable operation

  • AI-assisted and adaptive power management circuits in energy-autonomous systems

  • Hybrid energy systems and miniaturized storage technologies to enhance device resilience

  • Wireless data transmission optimization under extreme energy constraints

  • Self-powered UV exposure trackers and personalized ambient sensor networks

  • Low-power microcontrollers and stretchable battery designs maximizing user comfort

Guest Editors

  • Dr. J.N. Swaminathan (Managing Guest Editor), Department of Artificial Intelligence and Data Science, J.N.N Institute of Engineering, India

  • Dr. Oladapo Tolulope Ibitoye, Department of Electrical, Electronics and Computer Engineering, Afe Babalola University, Nigeria

  • Dr. Muhammad Nawaz Khan, Department of Smart Security, Gachon University, South Korea

Submission Details

📌 Now Open for Submissions

📌 Submission Deadline: December 1, 2026

📌 Submission Instructions: Authors should select the section titled “SFI: Auto Wearables” when uploading their manuscript through the journal’s submission system.

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