Scott Stewart
Group Leader, Data Science and Engineering for Nonproliferation
faculty
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Biography and Research Information
OverviewAI-generated summary
Scott Stewart's research interests encompass the application of data science and engineering principles to diverse fields, including public health, medical research, and nuclear engineering. His work has investigated the impact of nonpharmaceutical interventions on pediatric asthma during pandemics, contributing to the understanding of disease management in public health crises. Stewart has also explored advanced computational techniques, such as deep learning for signal analysis in projects like PickerXL, which measures arrival times from seismic signals. His research extends to materials science, including the analysis of cylindrical metasurfaces and open-loop control of electrically conductive materials in magnetic fields. Stewart also contributes to the field of medical education and research, with publications analyzing student matching trends in dermatology during the COVID-19 pandemic and comparative outcomes analyses in pediatric severe asthma care. His scholarly output is reflected in an h-index of 17 and over 1,300 citations across 139 publications.
Metrics
- h-index: 17
- Publications: 139
- Citations: 1,303
Selected Publications
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Video directly observed therapy to improve inhaler technique among pediatric patients with persistent asthma (2025)
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Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections (2024)
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Prenatal Supervised Physical Activity Maintains Glycemic Patterns in Women With Obesity During Pregnancy (2024)
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Video Directly Observed Therapy To Improve Pediatric Inhaler Technique (2024)
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Viral Infections are Associated with More Severe Clinical Outcomes During Pediatric Asthma Exacerbations (2024)
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Author Correction: Reversal of the diabetic bone signature with anabolic therapies in mice (2023)
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Reversal of the diabetic bone signature with anabolic therapies in mice (2023)
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Evaluation of Severe Asthma Management: An Investigational Analysis of Health Outcomes from Multidisciplinary Clinics (2023)
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The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas (2023)
Collaboration Network
Top Collaborators
- Looking for and Avoiding Trouble
- The Butler Did It
- A Rapid Attack Cycle in Bel Air
- Trends Shaping the Future of Protection and Protective Intelligence
- Don't Dox Yourself
Showing 5 of 10 shared publications
- PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
- Curifactory: A research experiment manager
- Dimensionally Aligned Signal Projection AlgorithmsLibrary
- Preprocessing for Unintended Conducted Emissions Classification with ResNet
- Design of a Scientific Data Analysis Support Platform
Showing 5 of 9 shared publications
- PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
- Curifactory: A research experiment manager
- Dimensionally Aligned Signal Projection AlgorithmsLibrary
- TX$^2$: Transformer eXplainability and eXploration
- Design of a Scientific Data Analysis Support Platform
Showing 5 of 9 shared publications
- Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections
- Multidisciplinary care in pediatric severe asthma: A comparative outcomes analysis
- The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas
- Evaluation of Severe Asthma Management: An Investigational Analysis of Health Outcomes from Multidisciplinary Clinics
- Viral Infections are Associated with More Severe Clinical Outcomes During Pediatric Asthma Exacerbations
Showing 5 of 7 shared publications
- Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections
- The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas
- Evaluation of Severe Asthma Management: An Investigational Analysis of Health Outcomes from Multidisciplinary Clinics
- Viral Infections are Associated with More Severe Clinical Outcomes During Pediatric Asthma Exacerbations
- Video Directly Observed Therapy To Improve Pediatric Inhaler Technique
Showing 5 of 6 shared publications
- PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
- Dimensionally Aligned Signal Projection AlgorithmsLibrary
- Preprocessing for Unintended Conducted Emissions Classification with ResNet
- Harmonic Signals Dataset
- Model Card for PickerXL
- The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas
- Evaluation of Severe Asthma Management: An Investigational Analysis of Health Outcomes from Multidisciplinary Clinics
- Viral Infections are Associated with More Severe Clinical Outcomes During Pediatric Asthma Exacerbations
- Video Directly Observed Therapy To Improve Pediatric Inhaler Technique
- Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections
- Multidisciplinary care in pediatric severe asthma: A comparative outcomes analysis
- The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas
- Evaluation of Severe Asthma Management: An Investigational Analysis of Health Outcomes from Multidisciplinary Clinics
- Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections
- Multidisciplinary care in pediatric severe asthma: A comparative outcomes analysis
- The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas
- Evaluation of Severe Asthma Management: An Investigational Analysis of Health Outcomes from Multidisciplinary Clinics
- PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
- IPyOverlay
- Toward path-invariant embeddings for local distance source characterization
- Model Card for PickerXL
- PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
- Toward path-invariant embeddings for local distance source characterization
- Model Card for PickerXL
- PickerXL
- Curifactory: A research experiment manager
- Design of a Scientific Data Analysis Support Platform
- IPyOverlay
- Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections
- The Presence of Non-pharmaceutical Interventions Correlates with Decreased Rates of Asthma Exacerbations and RSV infections in Arkansas
- Viral Infections are Associated with More Severe Clinical Outcomes During Pediatric Asthma Exacerbations
- Effects of nonpharmaceutical interventions during COVID-19 pandemic on pediatric asthma exacerbations and viral infections
- Multidisciplinary care in pediatric severe asthma: A comparative outcomes analysis
- Video directly observed therapy to improve inhaler technique among pediatric patients with persistent asthma
- PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals
- Model Card for PickerXL
- PickerXL
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