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Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
A
Aaron S. Kemp
Director, Enterprise Innovation, US Quantum Lead
Also affiliated: Google (United States) (2018); Arkansas Children's Hospital (2025); Barrow Neurological Institute (2023); University of California, Irvine (2004–2016); University of Arkansas Medical Center (2022–2023); University of California, Irvine Medical Center (2008–2011); Biomedical Informatics Research Center Antwerp (2021); Arkansas Children's Nutrition Center (2025); NeuroComp Systems (United States) (2007); University of Regensburg (1994); MathWorks (United States) (2023); Louisiana Tech University (2023)
Faculty Researcher
15 h-index
50 pubs
825 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Aaron S. Kemp's research focuses on the application of machine learning and advanced computational techniques to understand and diagnose neurological disorders, particularly Parkinson's disease. His work has explored processing voice samples using machine learning and pre-trained convolutional neural networks to identify Parkinson's disease from spectrogram images. Kemp has also investigated the feasibility of telemedicine for research visits in individuals with Parkinson's disease, especially those in medically underserved areas, and examined caregiver burden through social media analysis. His research integrates multi-modal data, including neuroimaging results, within platforms like PRISM and ARIES. Kemp's scholarship includes 50 publications, with an h-index of 15 and over 800 citations. He has collaborated extensively with researchers at the University of Arkansas for Medical Sciences, including Linda Larson-Prior, Lakshmi Pillai, Tuhin Virmani, and Aliyah Glover.
Metrics
- h-index: 15
- Publications: 50
- Citations: 825
Selected Publications
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Author Correction: A machine learning method to process voice samples for identification of Parkinson’s disease (2026)
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Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples (2025)
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Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples (2024)
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Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)
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Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease (2023)
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A machine learning method to process voice samples for identification of Parkinson’s disease (2023)
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Automated rodent sleep spindle detector: MATLAB app using two complementary search algorithms (2023)
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A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease (2023)
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235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms (2023)
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Development and Implementation of The Frog-In-Maze Game to Study Upper limb Movement in People with Parkinson’s Disease (2023)
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Analysis of Caregiver Burden Expressed in Social Media Discussions (2023)
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The informed consent form navigator: a tool for producing readable and compliant consent documents (2022)
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Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022)
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Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease (2022)
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Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES) (2022)
Collaboration Network
Top Collaborators
Linda Larson‐Prior
University of Arkansas for Medical Sciences
13 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
Showing 5 of 13 shared publications
Lakshmi Pillai
University of Arkansas for Medical Sciences
11 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 11 shared publications
Tuhin Virmani
University of Arkansas for Medical Sciences
11 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 11 shared publications
Aliyah Glover
University of Arkansas for Medical Sciences
8 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
- Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease
Showing 5 of 8 shared publications
Fred Prior
University of Arkansas for Medical Sciences
7 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Showing 5 of 7 shared publications
Horace J. Spencer
University of Arkansas for Medical Sciences
5 shared publications
In database
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
- Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Development and Implementation of The Frog-In-Maze Game to Study Upper limb Movement in People with Parkinson’s Disease
Anu Iyer
Georgia Institute of Technology (US)
5 shared publications
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease
- Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples
Mitesh Lotia
University of Arkansas for Medical Sciences (US)
4 shared publications
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Jonathan P. Bona
University of Arkansas for Medical Sciences
4 shared publications
In database
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- The informed consent form navigator: a tool for producing readable and compliant consent documents
- 235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms
Yasir Rahmatallah
University of Arkansas for Medical Sciences
4 shared publications
In database
- A machine learning method to process voice samples for identification of Parkinson’s disease
- Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
- A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease
- Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples
Jennifer Gan
University of Arkansas for Medical Sciences
3 shared publications
In database
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- The informed consent form navigator: a tool for producing readable and compliant consent documents
- 235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms
Hafsa Bareen Syeda
University of Arkansas for Medical Sciences (US)
2 shared publications
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Phillip Farmer
University of Arkansas for Medical Sciences
2 shared publications
In database
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Shorabuddin Syed
University of Arkansas for Medical Sciences (US)
2 shared publications
- Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas
- Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease
Joseph Utecht
University of Arkansas Medical Center
2 shared publications
In database
- The informed consent form navigator: a tool for producing readable and compliant consent documents
- 235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms
Similar Researchers
Based on overlapping research topics
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University of Arkansas for Medical Sciences
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