Nathan Zavanelli

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Assistant Professor

Gonzaga University

United States

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About

Nathan Zavanelli is an Assistant Professor at Gonzaga University in the United States. His research primarily focuses on the development of advanced bioelectronic systems, soft electronics, and wearable technologies. Recent articles highlight work on flexible haptic interfaces, bio-inspired electrodes, and real-time assessment of cognitive stress. His innovative contributions aim to enhance multimodal sensing and human-computer interaction.

Recent Grants

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NSF GRFP

Open Date: 2021-09-01

Close Date: 2024-09-01

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ARCS Fellowship

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Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

Collaborators (4)

Wei (Dawid) Wang

Assistant Professor

Hanyang University

SOUTH KOREA

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Yoon Jae Lee

Assistant Professor

Georgia College & State University

UNITED STATES

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Jimin Lee

Georgia Institute of Technology

UNITED STATES

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Myunghee Kim

Assistant Professor

University of Chicago

UNITED STATES

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Nathan Zavanelli

Research Interests

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About

Recent Grants

Articles (10)

Intrinsically Soft Printed Electronics for Digitally Augmented Human Sensing and Vision

A flexible skin-mounted haptic interface for multimodal cutaneous feedback

Bio-inspired soft electrodes for robust and reusable bioelectronic stickers

Soft Nanomembrane Sensor-Enabled Wearable Multimodal Sensing and Feedback System for Upper-Limb Sensory Impairment Assistance

Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms

Stretchable Wearable Wireless Bioelectronics Using All Printed Pressure Sensors and Strain Gauges

Continuous real-time assessment of acute cognitive stress from cardiac mechanical signals captured by a skin-like patch

Intelligent upper-limb exoskeleton integrated with soft bioelectronics and deep learning for intention-driven augmentation

Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort

Soft wireless sternal patch to detect systemic vasoconstriction using photoplethysmography

Collaborators (4)

Wei (Dawid) Wang

Yoon Jae Lee

Jimin Lee

Myunghee Kim

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