Resilient Embodied Intelligence and Learning (REIL) Lab
Focus areas
Multi-Modal Generative AI, Security & Privacy, Cyber-Physical Systems, and Internet of Things
Main research topics
Secure and Trustworthy AI for Autonomous Systems
Security: Protecting AI systems and data from adversarial attacks.
Interpretability: Making AI decisions transparent and understandable to ensure trust and responsible deployment.
Robustness: Ensuring models perform reliably under diverse data distribution or unexpected environmental conditions.
Generative AI-powered CPS/IoT Applications
Developing responsible, adaptive, efficient and deployable generative AI agents in CPS/IoT applications such as mobility, manufacturing and smart home.
Multi-Modal and Collaborative AI Systems
Developing AI systems that integrate diverse modalities. Enabling coordination, communication, and collaborative decision-making among networked AI systems.