Meiyi Li

Meiyi Li

Incoming Assistant Professor at LSU. AI, machine learning, optimization, LLM agents, and trustworthy decision-making for cyber-physical infrastructure.

Research Interests

My research directions include:

Safe AI Decision-Making

How can we make sure AI decisions in power and energy systems are safe before they are used in the real world?

Safe AI Decision-Making research direction figure

Scalable Real-Time Optimization

How can we make fast and reliable decisions for energy systems with millions of solar panels, electric vehicles, buildings, data centers, and devices?

Scalable Real-Time Optimization research direction figure

Coupled Cyber-Physical Systems

How can AI understand and optimize interconnected systems such as power grids, buildings, transportation, communication networks, and data centers?

Coupled Cyber-Physical Systems research direction figure

Robust and Secure AI

How can AI remain reliable when data is noisy, sensors fail, conditions change, or systems are under cyberattack?

Robust and Secure AI research direction figure

LLMs and AI Agents for Decision Support

How can language models and AI agents turn rules, text, logs, and expert knowledge into better decisions for complex infrastructure?

LLMs and AI Agents for Decision Support research direction figure

AI for Energy, Energy for AI

How can AI help build cleaner and more efficient energy systems, while energy systems support the growing demand of AI itself?

AI for Energy, Energy for AI research direction figure