Ying Chen

Ying Chen is a Visiting Assistant Professor of Mathematics at Purdue University's Department of Mathematics, affiliated with the College of Science. Her research focuses on mathematical modeling in biology, scientific computing, and computational fluid dynamics. She has contributed to interdisciplinary projects involving autonomous systems, human-computer interaction, and medical visualization. Her work bridges theoretical mathematics with practical applications in healthcare systems, environmental monitoring, and autonomous vehicle technologies.

Key research interests include developing algorithms for 3D scene reconstruction, optimizing vehicle interface safety, and applying AI to clinical decision support. Her recent publications explore topics like neural motion flow for autonomous driving, haptic feedback in bicycle safety systems, and LiDAR-camera fusion techniques. Collaborations span computer science, engineering, and biomedical fields.

Publications from 2023–2025 reveal a focus on spatiotemporal data visualization, VR training systems, and multi-modal forest monitoring. Notable trends include integrating machine learning with real-world challenges in transportation safety and environmental analysis. While no awards are explicitly listed, her work has been recognized in VAST Challenge competitions for innovative visualization methodologies.

Ying Chen’s teaching and research emphasize bridging abstract mathematical concepts with tangible applications. She has developed educational tools like the Mindwriter academic writing environment and conducted studies on visual learning strategies for students with math difficulties. Her work on car dashboard interface design and in-car entertainment systems highlights a commitment to user-centered technology solutions.