Ranu Jung
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: University of Kentucky (1998–2002); University of Miami (2013); Florida International University (2011–2024); Innovative Research (United States) (2024–2026); Arizona State University (2005–2015)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ranu Jung's research focuses on neurostimulation for therapeutic applications, particularly in enhancing sensorimotor integration and improving bioelectronic selectivity. Jung is a Co-PI on two NIH/National Institute of Biomedical Imaging and Bioengineering grants totaling $773,526. The first, for $634,078, aims to enhance sensorimotor integration using a neural-enabled prosthetic hand system. The second, for $139,448, focuses on improving bioelectronic selectivity with intrafascicular stimulation through the Collaborative Research in Computational Neuroscience (CRCNS) program.
Jung's work has led to publications in areas such as channel-hopping during surface electrical neurostimulation, novel neurostimulation-based haptic feedback platforms for virtual object interactions, and the development of intraocular retinal prostheses. Jung also contributes to broader fields of cognition and computational neuroscience, with publications in related encyclopedias and journals.
With an h-index of 15 and 81 total publications, Jung has a citation count of 697. Key collaborators at the University of Arkansas at Fayetteville include James J. Abbas, Andres E. Pena, and Anil K. Thota, with whom Jung has co-authored multiple publications.
Metrics
- h-index: 16
- Publications: 84
- Citations: 700
Selected Publications
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Neural recruitment of inhibitory control in executive function among monolingual and bilingual preterm-born children: An fNIRS study (2026)
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Single-site non-invasive peripheral nerve stimulation with multidimensional encoding enables object differentiation using a myoelectric prosthetic hand (2026)
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Selective Activation of Nerve Fiber Subpopulations with Intrafascicular Stimulation (2026)
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Single-site non-invasive peripheral nerve stimulation with multidimensional encoding enables object differentiation using a myoelectric prosthetic hand (2025)
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Fascicle-selective kilohertz-frequency neural conduction block with longitudinal intrafascicular electrodes (2025)
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Enhancing Two-Dimensional Control via Single-Channel Haptic Feedback: A Multi-dimensional Encoding Strategy (2024)
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Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations (2024)
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Accelerating neurotechnology development using an Agile methodology (2024)
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Phase-Amplitude Coupling (2022)
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GEneral NEural SImulation System (2022)
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Stochastic Simulation Algorithm (2022)
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Probabilistic Models of Cognition (2022)
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Computational Glioscience (2022)
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Paired-Pulse Facilitation (2022)
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Leaky Integrate and Fire Model (2022)
Federal Grants 2 $773,526 total
Enhancing Sensorimotor Integration Using a Neural Enabled Prosthetic Hand System
CRCNS: Improving Bioelectronic Selectivity with Intrafascicular Stimulation
Collaboration Network
Top Collaborators
- Rational Models of Cognition
- Encyclopedia of Computational Neuroscience
- Probabilistic Models of Cognition
- Optimal Experimental Design
- Deep Learning Architectures
Showing 5 of 23 shared publications
- Intraocular Retinal Prosthesis
- Recurrent Neural Network
- Mathematical Modeling
- Cerebrovascular Disease
- Neural Simulation Tool
Showing 5 of 15 shared publications
- Modeling of Slow Waves in the Stomach
- Accelerating neurotechnology development using an Agile methodology
- Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations
- Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations
- Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations
- Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations
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