Research

Trustworthy intelligence for interconnected cyber, physical, and social systems.

Research 01

Trustworthy AI for Smart Critical Infrastructure

Privacy-preserving, fair, explainable, and uncertainty-aware AI for smart farms and healthcare. Research combines secure wireless sensing, federated learning, and failure detection to support reliable decisions in critical systems.

Explore project website →

Research 02

Autonomous and Secure Cyber-Physical-Social Systems

AI-driven mission assurance, adaptive intrusion response, and cyberdeception for autonomous vehicles and tactical networks. Uncertainty-aware reasoning and human-machine teaming connect security decisions to mission performance.

Explore project website →

Research 03

RYLAI: Resilient Youth Learn through Artificial Intelligence

Conversational AI and experiential learning to help adolescents recognize cybergrooming risks, strengthen self-efficacy, and respond to risky online situations. This interdisciplinary effort connects AI, cybersecurity, and youth-centered safety education.

Explore project website →

Research 04

TRACES: Trustworthy and Responsible AI for Cybersecurity, Explainability, and Safety

Research on AI reliability, behavioral cybersecurity data, evidence-grounded explanations, and human-centered cyber safety. Projects examine bias and uncertainty and develop approaches to scam prevention and training for vulnerable populations, including older adults.

Explore project website →

Cross-cutting foundations

Trustworthy and adversarial machine learning
Uncertainty reasoning and decision-making
Game-theoretic defense, moving target defense, and cyberdeception
Network science, social learning, and misinformation mitigation
Human-centered security, explainability, and responsible AI