Aaron S. Kemp
Instructor/Co-Director
Also affiliated: 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); NeuroComp Systems (United States) (2007); Arkansas Children's Research Institute (2025); University of Regensburg (1994); MathWorks (United States) (2023); Louisiana Tech University (2023)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Aaron S. Kemp is involved in research focused on neurological and psychiatric disorders, with recent work exploring machine learning applications for disease identification. His research has investigated Parkinson's disease through the analysis of voice samples and has examined schizophrenia, including therapeutic effects of transcranial magnetic stimulation (TMS) and psychometric comparisons of cognitive assessments. Kemp has also studied temporal patterns in self-injurious behavior correlated with stress hormone levels in individuals with developmental disabilities. His scholarly contributions include 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: 14
- Publications: 48
- Citations: 807
Positions
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Instructor/Co-Director 2024–presentUniversity of Arkansas for Medical Sciences Biomedical Informatics/Neurocognitive Dynamics Lab ORCID
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Director, Enterprise Innovation, US Quantum Lead publications 2020–2025University of Arkansas for Medical Sciences Listing
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Venture Fellow 2022–2024SymBiosis Capital Management ORCID
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Research Program Manager 2016–2024University of Arkansas for Medical Sciences Neurocognitive Dynamics Lab ORCID
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Director of Scientific Affairs 2000–2022NeuroComp Systems (United States) ORCID
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Director of Scientific Affairs 2014–2015Advanced Brain Monitoring (United States) ORCID
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Neurocognitive Research Specialist 1999–2014University of California Irvine Neuropsychiatric Research Institute ORCID
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Research Technologist II 1997–1999University of Arkansas for Medical Sciences Psychiatry ORCID
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Learning and Cognition Lab Manager 1995–1997Hendrix College Psychology ORCID
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
- 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
- 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)
Showing 5 of 16 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
- 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 14 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
- 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 13 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
- 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
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
Showing 5 of 11 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
- 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
- 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
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
- 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
Showing 5 of 6 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
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
Showing 5 of 6 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
Showing 5 of 6 shared publications
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- Establishing a digital health platform in an academic medical center supporting rural communities
- 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
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Objective Markers of Finger Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4468)
- Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease
- Objective Markers of Foot Tapping in Idiopathic Parkinson’s Disease with Freezing of Gait (4609)
- 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
- 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
- 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
- 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
- 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
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