Zimeng Lyu, Ph.D.

Ph.D., Computing and Information Sciences, Rochester Institute of Technology

M.S., Computer Engineering, Syracuse University

• CPS 2800 Fundamentals of AI
• CPS 5301 Advanced Software Engineering

My research focuses on advancing data science and artificial intelligence for time series forecasting, with an emphasis on stock market prediction. I develop cross-domain forecasting models and design lightweight, edge-optimized solutions for real-time deployment. Beyond finance, I also explore AI-driven predictive analytics in the power and energy sector, advancing intelligent and efficient decision-making across industries.