$722,190
Total Awarded as PI
Current & Awarded Funding
Active Grants
● Active
Preventing, Identifying, and Mitigating the Impact of Compromised AI Teammates Using Shared Situation Awareness and Mental Model Accuracy
Funder
Army Research Laboratory (ARL)
Role
PI — 100%
Award
$718,690

This project investigates how human-AI teams can detect, respond to, and recover from scenarios in which AI teammates are compromised or provide inaccurate information. The research develops frameworks rooted in shared situational awareness and mental model accuracy to maintain team performance and safety in electronically contested and adversarial environments. Work directly supports Army priorities in human-machine teaming for command and control.

● Active — Internal
Understanding the Acceptance of AI Teammates in High-Risk Contexts
University of Tennessee — Faculty Research Assistants · PI — 100%
$1,750
● Active — Internal
Developing Personalized Adaptive AI Teammates
University of Tennessee — Departmental Research Assistantship Program (DRAP) · PI — 100%
$1,750
Prior Contributions
Funded Research as PhD Student

As a PhD student and research assistant at Clemson University, Dr. Schelble made significant contributions to over $2.6 million in externally funded research across multiple federal agencies.

Air Force Office of Scientific Research (AFOSR)
Office of Naval Research (ONR)
National Science Foundation (NSF)
Army Research Institute (ARI)