Research Overview

Research Interests

My research focuses on the information-theoretic foundations and algorithm design for networked intelligence and security. More recently, I have been developing rigorous theory and algorithms for decentralized learning via random walks, spanning analysis, design, optimization, and real-world applications.

My work draws on the following fundamental tools: information theory, stochastic processes, optimization, graph theory, and reinforcement learning.

Research Grants

• Young Scientists Fund of the NSFC (Grant No. 62401111), "Freshness-oriented decentralized random access theory and algorithms"
  Funding Agency: National Natural Science Foundation of China
  Role: Solo PI
  Dates: 2025.01 - 2027.12

• Fundamental Research Funds for the Central Universities (Grant No. ZYGX2024XJ001), "Research on Decentralized Random Access Protocols for Information Freshness"
  Funding Agency: Ministry of Education of China
  Role: Solo PI
  Dates: 2024.09 - 2026.08