Owen is a PhD candidate at Baylor University specializing in the applied use of functional near-infrared spectroscopy (fNIRS) to assess mental workload and decision-making in occupationally relevant and thermally stressful environments. His research, both independent and collaborative, advances performance optimization and workload monitoring across military, clinical, and industry settings, with a focused interest in cold-weather operations and neuroergonomic applications.
In addition to his current research agenda, Owen has a background in utilizing wearable sensor technologies to investigate neuromuscular changes related to exertional fatigue and to track neuroplastic adaptations resulting from therapeutic interventions. He is actively exploring opportunities to expand his research network and transition into industry or academic roles that align with his research expertise.
Skills and Research Expertise:
In addition to his current research agenda, Owen has a background in utilizing wearable sensor technologies to investigate neuromuscular changes related to exertional fatigue and to track neuroplastic adaptations resulting from therapeutic interventions. He is actively exploring opportunities to expand his research network and transition into industry or academic roles that align with his research expertise.
Skills and Research Expertise:
- Functional Near-Infrared Spectroscopy (fNIRS)
- Cognitive Workload and Decision-Making Assessment
- Environmental Stressors: Heat, Cold, Hypoxia
- Non-invasive thermal monitoring techniques
- Acute Intermittent Hypoxia (AIH) Therapy
- Neuromuscular Rehabilitation
- Electromyography (EMG)
- Near-Infrared Spectroscopy (NIRS)
- Multimodal Sensor Integration
- Human Factors and Applied Neuroergonomics
- Applied Clinical Research
- Multivariate Statistical Analysis: R, SPSS
- Custom Programming for Data Analysis & Cognitive Testing Paradigms: R, SPSS, Python, LabVIEW