Zimeng Lyu
Assistant Professor
Kean University
I am an Assistant Professor in the Department of Computer Science and Technology at Kean University. My research focuses on developing cross-domain time series forecasting models, designing lightweight forecasting solutions for edge devices, and exploring applications in areas such as stock prediction, as well as the power and energy industry. Before joining Kean University, I earned my Ph.D. in Computer Science from the Rochester Institute of Technology.
Research Areas
Time Series Forecasting
Cross-domain Time Series Forecasting, stock forecasting
Neural Architecture Search
Evolving lightweight neural networks for edge devices
Latest News
Started tenure-track assistant professor position at Kean University
Advanced to NY State Student Business Plan Competition finals
Paper accepted at IJCNN 2025
Won second round of NY State Student Business Plan Competition
Winner of Finger Lakes region of NY State Student Business Plan Competition
Paper accepted at GECCO 2025
Paper accepted at EvoAPPs 2025
Office Hours
Outside of my regular office hours, I sometimes extend my availability, and those updates are posted closer to the date. During exam and final project weeks, my office hours will also be available on Zoom. Kean students are also welcome to contact me through Microsoft Teams.