Foundation Models & Core Capabilities

Agent Infrastructure & Tooling

Learning, Adaptation & Feedback

Multi-Agent Systems & Social Intelligence

Evaluation, Safety & Alignment

Applications & Vertical Use Cases

Interface & Interaction Design

Governance, Ethics & Ecosystem Building

Ming Jin

He is an assistant professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He works on trustworthy AI, safe reinforcement learning, foundation models, with applications for cybersecurity, power systems, recommender systems, and CPS.

Shangding Gu

He is a postdoctoral researcher in the Department of EECS at UC Berkeley. He works on AI safety, reinforcement learning, and robot learning.

Yali Du

She is an associate professor in AI at King’s College London. She works on reinforcement learning and multi-agent cooperation, with topics such as generalization, zero-shot coordination, evaluation of human and AI players, and social agency (e.g., human-involved learning, safety, and ethics).