Hanqing Yang

I am a Ph.D. student in Electrical and Computer Engineering at Carnegie Mellon University, where I am fortunate to work with Prof. Carlee Joe-Wong in the LIONS research group. My research focuses on the design of intelligent and cooperative multi-agent systems capable of making autonomous decisions at scale. Before coming to CMU, I had the opportunity to assist with research projects in AI for healthcare in CPSL at Washington University in St. Louis, advised by Prof. Chenyang Lu.

Education

• Ph.D. Student – Electrical and Computer Engineering, Carnegie Mellon University (2025–Present)
• M.S. – Electrical and Computer Engineering, Carnegie Mellon University (2024)
• B.S. – Computer Engineering and Computer Science (dual degree), Washington University in St. Louis (2023)

Research Interests

My research interests span several areas of artificial intelligence and multi-agent systems. In particular, I’m passionate about:

• Scalable multi-agent systems – large-scale cooperative systems, coordination and dynamic communication among agents
• Embodied and generative agents – autonomous agents (often powered by LLMs) with collective reasoning, cross-domain generalization, and secure decentralized operation
• Human-agent teaming – interpretability of AI decisions, human feedback integration, human–AI interaction, and trustworthiness in collaborative settings

Teaching Experience

I really enjoy working with students. I’ve been a TA for a mix of undergrad and grad courses in systems and machine learning.

• Carnegie Mellon University
  • 18-613: Foundations of Computer Systems
  • 18-661: Introduction to Machine Learning
• Washington University in St. Louis
  • CSE 422: Operating Systems and Organization
  • CSE 361: Introduction to System Software
  • CSE 132: Introduction to Computer Engineering