Assistant Professor, Department of Information Sciences & Technologies

Email: [email protected]
Phone: (616) 331-2477
Office: MAK C-2-240
Website: Google Scholar 

Education
Ph.D., Urban & Regional Science, Texas A&M University, 2023

Asynchronous courses: CIS 635 - 03

Dr. Jiaxin Du is an accomplished researcher and educator with expertise in data science, artificial intelligence, and geographical information systems (GIS). His research focuses on leveraging AI-driven techniques to analyze spatial data, enhance decision-making, and improve outcomes in urban and environmental contexts. He actively contributes to the academic community as a reviewer for several prominent journals and conferences, including International Journal of Geographical Information Science (IJGIS), Computational Urban Science, Journal of Ambient Intelligence & Humanized Computing, Annals of GIS, International Conference on Information Systems (ICIS), and International Journal of Applied Earth Observation and Geoinformation. 

In the classroom, Du is passionate about teaching students the foundations of data analysis and visualization, with particular emphasis on Python programming and effective data storytelling. Beyond his academic pursuits, he has a strong interest in financial markets and enjoys exploring new destinations through travel. He is dedicated to preparing students to succeed in data-driven careers and to making meaningful contributions to the fields of AI and GIS.

• "Ye, X., Li, S., Gong, W., Li, X., Li, X., Dadashova, B., Li, W., Du, J., & Wu, D. (2025). Street View Imagery in Traffic Crash and Road Safety Analysis: A Review. Applied Spatial Analysis and Policy, 18(2), 50. https://doi.org/10.1007/s12061-025-09653-7
• Ye, X., Du, J., Li, X., Shaw, S.-L., Fu, Y., Dong, X., Zhang, Z., & Wu, L. (2025). Human-centered GeoAI foundation models: Where GeoAI meets human dynamics. Urban Informatics, 4(1), 2. https://doi.org/10.1007/s44212-025-00067-x
• Ye, X., Zhai, W., Du, J., Van Zandt, S., & Ye, Y. (2024). Authentic or artificial intelligence? Faculty’s perspectives on the ChatGPT’s impact on U.S. urban planning Ph.D. programs. Frontiers of Urban and Rural Planning, 2(1), 23. https://doi.org/10.1007/s44243-024-00046-x
• Du, J., Ye, X., Huang, X., Qiang, Y., & Zhu, C. (2025). Unveiling multifaceted resilience: A heterogeneous graph neural network approach for analyzing locale recovery patterns. Environment and Planning B: Urban Analytics and City Science, 52(5), 1197–1214. https://doi.org/10.1177/23998083241288689
• Ye, X., Li, S., Das, S., & Du, J. (2024). Enhancing routes selection with real-time weather data integration in spatial decision support systems. Spatial Information Research, 32(4), 373–381. https://doi.org/10.1007/s41324-023-00564-8