Yu Yang

Yu Yang is an Assistant Professor in the Department of Computer Science & Engineering at Lehigh University. His research focuses on spatio-temporal data mining, cyber-physical systems, ubiquitous computing, and machine learning applications in logistics and transportation systems. He holds a Ph.D. in Computer Science from Rutgers University, an M.S. in Computer Science from Rutgers, and a B.Eng. in Software Engineering from Northeastern University (China).

• Education: Ph.D., Computer Science, Rutgers University
• M.S., Computer Science, Rutgers University
• B.Eng., Software Engineering, Northeastern University (CN)

His research explores cutting-edge methodologies for optimizing transportation networks, enhancing urban mobility, and improving last-mile delivery systems through AI-driven solutions such as reinforcement learning, hypergraph networks, and adaptive prediction frameworks. Key projects include tackling logistics challenges via LLM integration, improving traffic signal resilience during malfunctions, and designing cooperative delivery systems with real-time encounter detection. His work often bridges theory and practice, with deployments in real-world logistics platforms and urban infrastructure systems.