Xinyu Chen

Biography

Xinyu Chen is an Assistant Professor whose research focuses on machine learning and optimization for understanding spatiotemporal systems. He is conducting interdisciplinary research in scientific and engineering fields, applying cutting-edge computational technologies to real-world data science challenges. As part of the UCF AI Initiative, Chen advocates for open-source and reproducible research. The model development from a machine learning perspective can be summarized as tensor computations for machine learning (Tensor4ML) and optimization for interpretable machine learning (Opt4ML). In practice, the spatiotemporal datasets are often multidimensional tensors, including human mobility, trajectory data, traffic flow, fluid flow, climate/weather variable data, energy consumption, and international trade data.