CV

Download my full CV here

Education:

PhD Electrical Engineering | Georgia Institute of Technology | Atlanta, GA | (in progress)

M.S. Electrical Engineering | Georgia Institute of Technology | Atlanta, GA | 2020

B.S. Electrical Engineering | Brigham Young University | Provo, UT | 2017

Journal Papers: (see my google scholar profile for the most updated list)

• Unifying the Estimation of Blood Volume Decompensation Status in a Porcine Model of Relative and Absolute Hypovolemia via Wearable Sensing (2021)
• Reducing the Impact of External Vibrations on Fiducial Point Detection in Seismocardiogram Signals (2021)
• Accurate Ballistocardiogram Based Heart Rate Estimation Using an Array of Load Cells in a Hospital Bed (2021)
• Enabling the assessment of trauma-induced hemorrhage via smart wearable systems (2020)
• Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring During Hemorrhage (2020)
• Modeling Consistent Dynamics of Cardiogenic Vibrations in Low-Dimensional Subspace (2020)
• A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals (2019)
• Characterization of Anisotropic Leaky Mode Modulators for Holovideo (2016)
• Progress on Characterization and Optimization of Leaky Mode Modulators for Holographic Video (2015)

Conference Papers:

• Quantification of Posture-Induced Changes in Bed-Based Ballistocardiogram (2020)
• Mitigating Hypovolemia-Induced Miscalibration of Photoplethysmogram-Derived Blood Pressure (2020)
• Localizing Placement of Cardiomechanical Sensors during Dynamic Periods via Template Matching (2020)
• Preliminary evaluation of a noninvasive approach for monitoring severe hemorrhagic shock based on wearable technology in a porcine model [abstract] (2020)
• Automated Identification of Persistent Time-Domain Features in Seismocardiogram Signals (2019)
• Optimizations for robust, high-efficiency, waveguide based holographic video (2016)

Skills:

• Machine Learning
• Biosignal Processing
• Matlab, Python, C
• Experimental Design
• Data collection with human and animal subjects