Research And Technology Demonstration
MMAARS–NAUTILUS OPS integrates a portfolio of advanced research and technology demonstration initiatives designed to support human performance, health, and operational capability in extreme environments. These projects span artificial intelligence, behavioral health, multi-omics, space pharmacology, and ocean science, forming a unified framework for translational research applicable to both deep-sea and space exploration.
MAGSBHO: AI Governance for Crew Health Safety & Operations
MAGSBHO(Multi-Agentic AI Governance System for Behavioral Health and Operations) is a governance-constrained, multi-agent artificial intelligence framework designed to support safe, interpretable, and reliable decision-making in high-risk, isolated, confined, and extreme environments (I.C.E.E). Built on a human-in-the-loop architecture, the system prioritizes safety, transparency, and controlled autonomy in environments where decisions di...
ISPS-VETA: A Clinical AI Sim for Behavioral Health Triage
(ISPS-VETA) The Integrated Space Psychiatry System – Virtual Embodiment Tele-Psychiatrist Avatar is an AI-driven clinical simulation and behavioral health triage platform designed to support psychological monitoring, assessment, and intervention in isolated, confined, and extreme (I.C.E.) environments. The system integrates virtual embodiment, telepresence, and intelligent decision-support to enable real-time evaluation of cognitive, emot...
VASTX: AI-Driven Digital Twin for Precision Space Pharmacokinetics
VASTX (Virtual Astronaut Simulator for Therapeutics and Exploration) is an AI-powered digital twin platform designed to model human physiology and drug behavior in spaceflight and extreme environments. The system integrates physiologically based pharmacokinetic (PBPK) modeling, machine learning, and real-time wearable biosensor data to simulate how medications are absorbed, distributed, metabolized, and excreted under altered physiologica...
AAOLP: Analog Astronaut OMICS Library Project
AAOLP (Analog Astronaut OMICS Library Project) is a longitudinal, high-fidelity research initiative designed to characterize the biopsychosocial, genetic, epigenetic, and physiological responses of humans operating in isolated, confined, and extreme environments (I.C.E.E). The project integrates multi-omics data, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiome profiling, with continuous physiolog...
VOICE-ICEE: Voice Biomarkers in Isolated, Confined, and Extreme Environments
VOICE–I.C.E.E (Voice and Speech Analysis in Isolated, Confined, and Extreme Environments) is an AI-driven research initiative investigating speech and voice as non-invasive digital biomarkers for detecting neurobehavioral, cognitive, and physiological stress in isolated, confined, and extreme environments (I.C.E.E). Leveraging advanced signal processing, machine learning, and longitudinal voice analysis, the system identifies subtle chang...
Deep Sleep Study
DEEP SLEEP is a translational research initiative investigating the effects of hyperbaric pressure, environmental conditions, and operational stress on sleep architecture, recovery, and neurophysiological performance in isolated, confined, and extreme environments (I.C.E.E). Leveraging high-fidelity aquanaut missions, the study integrates wearable biosensors, physiological monitoring, and environmental data to quantify changes in deep and...
Publications
Advancing Research in Space Medicine, AI, and Human Performance
MMAARS–NAUTILUS OPS advances a multidisciplinary research program at the intersection of space medicine, artificial intelligence, analog astronautics, and human performance in isolated, confined, and extreme environments (I.C.E.E). Through high-fidelity mission simulations, AI-driven systems, and translational biomedical research, our work develops predictive, adaptive, and scalable solutions for long-duration spaceflight and extreme environments on Earth.
Selected Research Highlights
AI Governance & Behavioral Health Systems
Development of MAGSBHO, a multi-agent AI governance framework for behavioral health, safety, and decision-making in analog astronaut missions.
- Accepted for presentation at Aerospace Medical Association (AsMA) 2026
Digital Twin Pharmacology for Space Medicine
Development of VASTX, an AI-driven physiologically based pharmacokinetic (PBPK) digital twin platform for predicting drug behavior in microgravity and extreme environments.
- Accepted for presentation at AsMA 2026 and AIAA ASCEND ISS R&D Program
Integrated Human Systems for Space Adaptation
Systems-level research integrating molecular biology, physiology, cognition, and environmental stressors to understand human adaptation in spaceflight.
- Published in Frontiers in Space Technologies (2025)
Human Physiology in Extreme Environments
Research in hyperbaric and extreme environments investigating physiological adaptation, stress response, and human performance under pressure.
Accepted Abstracts & Presentations
Aerospace Medical Association (AsMA) 2026
Jewell, S. (2026).
MAGSBH: A Multi-Agentic AI Governance System for Behavioral Health in Analog Astronaut I.C.E.E Missions.
Slide Presentation, Aerospace Medical Association Annual Scientific Meeting
May 21, 2026 | 10:00–11:30 AM
Abstract ID: 15582 (Accepted Oral Presentation)
Badhan, R. K., et al. (2026).
VASTX: Digital Twin Pharmacokinetics Framework for Predicting Drug Behavior in Microgravity.
Slide Presentation, Aerospace Medical Association (AsMA) Annual Scientific Meeting
May 18, 2026 | 2:00–3:30 PM
Abstract ID: 15018 (Accepted Oral Presentation)
AIAA ASCEND / ISS R&D Program (2026)
The ISS R&D Technical Sessions at the 2026 ASCEND conference are sponsored by the ISS National Laboratory®. The ISS National Lab, managed by the Center for the Advancement of Science in Space® (CASIS®)
Badhan, R. K., et al. (2026).
Development and application of a translational digital twin platform for space medicine pharmacology and ISS research.
AIAA ASCEND 2026 – ISS R&D Technical Session (Accepted Presentation)
American Institute of Aeronautics and Astronautics (AIAA) ASCEND (2026)
Jewell, S., & Badhan, R. K. (2026).
VASTX: Virtual Astronaut Simulator for Therapeutics and Exploration: A Digital Twin Physiological-Based Pharmacokinetics (PBPK) Model for Space Pharmacy.
AIAA ASCEND 2026 Conference – Technical Paper Session
Control ID: 4413243 (Accepted Technical Paper; DOI pending)
AIAA ASCEND (2025)
Jewell, S., et al. (2025).
Biopsychological, genetic, and epigenetic impacts of extreme environments in analog astronautics and advancing ISPS-VETA virtual space psychiatry for remote care.
AIAA ASCEND Conference / AIAA Aviation Symposium
Abstract Control ID: 4239265 (Accepted Abstract; DOI pending)
International Astronautical Congress (IAC)
Jewell, S., Yuan, C., & Janikowski, A. (2025).
UMIC-PECA Interstellar Lab: An Innovative, Modular, Portable, and Expandable Underwater Habitat Test Platform for Analog Aquanaut Training Missions.
IAF Human Spaceflight Symposium (B3)
Paper ID: 99410
Jewell, S., Pack, T., Harney, M., Jewell, E., & Yuan, C. (2025).
A Preventative, Precision, Personalized Space Psychiatry Model: A Multiphase Study of Biopsychosocial, Genomic, and Epigenetic Adaptations in I.C.E. Analog Environments.
IAF/IAA Space Life Sciences Symposium (A1)
Paper ID: 96613
Jewell, S., Harney, M., Pack, T., Guerra-Rivera, J., et al. (2024).
Astro-Psychiatry: A Novel Solution for Mental Health in Space Exploration.
IAF/IAA Space Life Sciences Symposium (A1)
Paper ID: 87989
Jewell, S.et al. (2024).
The MARTIANAUT Project: Studying Physical, Psychological, and Physiological Outcomes in a One-Person I.C.E Analog Mission.
IAF/IAA Interactive Presentations (IP)
Paper ID: 80940
Book Chapters
Jewell, S., Jewell, E., Jewell, N., & Guerra, J. A. (2019).
Mars Academy USA analog training.
In Handbook of Life Support Systems for Spacecraft and Extraterrestrial Habitats. Springer.
https://link.springer.com/referenceworkentry/10.1007/978-3-319-09575-2_144-1
Dituri, J. (2018).
Heart rate variability analysis as a means of real-time hypercapnia detection.
Doctoral Dissertation, University of South Florida.
https://digitalcommons.usf.edu/etd/8110