Zimeng Lyu

I am an Assistant Professor in the Department of Computer Science and Technology at Kean University. My work develops neuroevolution methods that design recurrent neural networks automatically, producing forecasting models that are compact enough to run on resource-constrained devices yet competitive with far larger architectures.

I am also interested in online and non-stationary settings, where models must adapt as data distributions shift over time. This research has been applied to coal-fired power plant operations and to stock return prediction and portfolio trading, and my current work extends these ideas toward cross-disciplinary edge-AI applications.

At Kean, I teach Fundamentals of AI, graduate Data Mining, and software engineering, and I founded the Kean Cup AI Competition to give students across disciplines a venue for applied AI work. I also pursue research in cross-disciplinary AI education pedagogy, with the goal of broadening AI literacy beyond computer science majors. I earned my Ph.D. in Computer Science from the Rochester Institute of Technology.