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Xiaoyue Ni

Assistant Professor of the Thomas Lord Department of Mechanical Engineering and Materials Science
Thomas Lord Department of Mechanical Engineering and Materials Science

Overview


The Ni group aims to realize human-oriented materials intelligence through the combination of soft electronics and digital metamaterials—the materials can sense human signals, transform and adapt their functional properties according to human actions or status. The technical approach embraces epidermal electronics for advanced sensing of body mechanics, and micro/nanomechanics for closed-loop programmable matter. Our research focuses on creating digital-physical interfaces for dynamic control over materials properties via a full spectrum of mechanical and acoustic processes.

Current Appointments & Affiliations


Assistant Professor of the Thomas Lord Department of Mechanical Engineering and Materials Science · 2020 - Present Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering
Assistant Professor of Biostatistics & Bioinformatics · 2020 - Present Biostatistics & Bioinformatics, Basic Science Departments

In the News


Published October 27, 2025
Discover New Innovations at Invented at Duke 2025
Published March 19, 2025
Materials Morph for Easier Health Monitoring
Published September 30, 2024
Nursing, Pratt Collaborate to Tackle Health Challenges

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Recent Publications


Wireless, wearable elastography via mechano-acoustic wave sensing for ambulatory monitoring of tissue stiffness.

Journal Article Science advances · September 2025 Assessing the mechanical properties of soft tissues holds broad clinical relevance. Advances in flexible electronics offer possibilities for wearable monitoring of tissue stiffness. However, existing technologies often rely on tethered setups or require fr ... Full text Cite

Dynamics of plosive consonants via imaging, computations, and soft electronics.

Journal Article Proceedings of the National Academy of Sciences of the United States of America · November 2022 A quantitative understanding of the coupled dynamics of flow and particles in aerosol and droplet transmission associated with speech remains elusive. Here, we summarize an effort that integrates insights into flow-particle dynamics induced by the producti ... Full text Cite

A dynamically reprogrammable surface with self-evolving shape morphing.

Journal Article Nature · September 2022 Featured Publication Dynamic shape-morphing soft materials systems are ubiquitous in living organisms; they are also of rapidly increasing relevance to emerging technologies in soft machines1-3, flexible electronics4,5 and smart medicines6. Sof ... Full text Cite
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Recent Grants


Developing a 2-in-1 Wearable On-Demand Ultrasound Imaging & Stimulation System for Treating Post-Stroke Motor Impairment

ResearchCo-Principal Investigator · Awarded by American Heart Association · 2025 - 2028

Enabling Sentient Materials

ResearchPrincipal Investigator · Awarded by Lawrence Livermore National Laboratory · 2025 - 2027

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Education, Training & Certifications


California Institute of Technology · 2018 Ph.D.

External Links


Ni Lab