Undergraduate Researcher
School of Law, Shandong University Artificial Intelligence • Computational Law • Complex Dynamic Systems

I am an undergraduate researcher at Shandong University with interdisciplinary training in Computational Law and Artificial Intelligence. My research focuses on computational intelligence for complex dynamic systems, with current interests spanning reinforcement learning, intelligent transportation systems, multimodal AI, human-centered AI, and computational legal reasoning. I am particularly interested in developing trustworthy AI systems capable of modeling, reasoning about, and optimizing real-world complex systems.

Artificial Intelligence Complex Dynamic Systems Intelligent Decision Making Reinforcement Learning Human-centered AI Computational Law Trustworthy AI

Research on reinforcement learning-based scheduling and traffic intelligence for autonomous mine transportation systems.

AI-enabled multimodal sensing, acoustic intelligence, and intelligent crop monitoring.

Developing computational models for dynamic legal reasoning and intelligent decision-making.

Designing multimodal parent–child interaction systems using AI-assisted human-computer interaction technologies for left-behind children.

I believe that transportation networks, agricultural ecosystems, and legal institutions are all examples of complex dynamic systems. My research explores how artificial intelligence can computationally model, understand, and optimize these systems through reinforcement learning, multimodal perception, and computational legal reasoning.

Developing trustworthy AI systems capable of understanding, reasoning about, and optimizing complex dynamic systems.

• Manuscript in Preparation
  Multi-objective Reinforcement Learning for Intelligent Mine Vehicle Scheduling in Three-dimensional Transportation Networks

📧 Email: 202400620066@sdu.edu.cn Google Scholar (Coming Soon) ORCID (Coming Soon)