Current Projects
uPSP Dynamic Stability Filtering for Improved Pressure Localization in Launch Vehicles
Sponsor: NASA Langley Research Center – Advanced Measurement Data Systems Branch [2026-2028]
This study introduced advanced non-linear signal processing methods to uncover pressure dynamics for launch vehicle models (rockets) within NASA’s Transonic Dynamics Tunnel
Predicting Warfighter’s Physiological Impact of Consecutive Long-Duration Dives
Sponsor: US Naval Submarine Medical Research Laboratory (NSMRL) [2025-2026]
This study examines the effects of multiple consecutive bouts of Hyperoxia impacts a diver’s physiology for mission readiness.
Machine Learning Methods for Characterizing and Predicting Human Performance for the Development of Risk Prediction and Mitigation
Sponsor: AFRL/ NASA Langley Research Center – CSOB [2024-2027]
This study examines the relationships among Protective and Productive Safety and Cognitive State Monitoring using multimodal psychophysiological data. This work focuses on a pilot’s human performance using theoretical information fusion ML frameworks to evaluate risk and develop mitigation strategies.
Aerospace System-Wide Safety: Machine Learning and Signal Processing to Predict
Anomalies in Flight, Risks, and Human Performance
Sponsor: NASA Langley Research Center – CSOB [2022-2027]
We are supporting NASA’s System Wide Safety initiative by developing machine learning tools to analyze and classify high-risk aviation
flight patterns from human pilots and the translation to autonomous operations
Optimizing Gas Mix Selection for Saturation Diving: Respiratory Mechanics, Narcosis, and Work Capacity Across High-Density Breathing Conditions
Sponsor: US Naval Submarine Medical Research Laboratory (NSMRL) [2025-2026]
This study examines respiratory data such as pressure, instantaneous flow, and volume to describe how dives fatigue, work of breathing, and physical dropout during saturated dives.
Past Projects
Warfighter Task Termination Due to Breathing Mechanics and Compensation Paradigms
Sponsor: Office of Naval Research (ONR) [2022-2025]
The goal of this work is to characterize instantaneous flow breathing patterns to quantify a human’s Work of Breathing (WoB) and develop pattern recognition algorithms across breathing cycles to understand compensation paradigms. This work will then be translated to machine learning frameworks to predict a navy diver’s task termination using resistive respiratory loads and chest wall restriction as an analog to diving.
Risk Prediction and Mitigation Technology in Traditional Aviation Operations and
Autonomous Operation
Sponsor: L3 Harris Corporation [2022-2022]
The goal of this work is to develop interpretable analytics to understand how human pilot flight dynamics translate to autonomous operations in the aerospace domain.
Modeling of Breathing Dynamics to Discriminate Ventilatory Compensation and Failure
Sponsor: NIH’s National Heart, Lung, and Blood Institute (NHLBI) [2021-2026]
The goal of this work is to develop preliminary data and models to demonstrate how advanced bio-signal processing applied to respiratory data (flow, pressure, respiratory muscle) can be utilized within ML models to predict ventilatory compromise within neurological disease populations (e.g., ALS)
Acute Adenosine Receptor Antagonism to Promote Breathing Plasticity in ALS
Sponsor: ALS Association [2022-2025]
Examines the long-term neuroplastic respiratory effects of Istradefyllin, a selective A2A receptor agonist, paired with a therapeutic acute intermittent hypoxia in patients living with ALS and a matched control cohort.
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ENKIx: Enabling Knowledgeable Task Guidance In the Extremes
Sponsor: DARPA [2021-2024]
The development of ENKIx, a novel and effective AR-based task guidance system designed to handle the characteristics found at the extremes (e.g., volatility and uncertainty). This development of ENKIx focuses on advancements to the state-of-the-art in multiple domains, including task modeling formalisms, cognitive modeling, computer vision, AI, and human-computer interaction.
Predicting Human Performance in Flight for Future AI Flight Deck Systems
Sponsor: NASA Langley Research Center -CSOB [2018-2021]
The goal is to detect detrimental cognitive states in pilots during flight to improve human performance and develop advanced AI flight deck systems.
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Pilot Breathing Assessment
Sponsor: NASA Engineering Safety Center (NESC) [2018-2020]
This work focused on the detection and interpretation of detrimental breathing patterns within in F-18 Fighter pilots to understand how specific flight maneuvers physiologically compromise the pilot through changes in their respiratory system.
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