Assistant Professor

2021, Ph.D., Geography, Kent State University, Ohio, USA
2016, M.S., Geography, Ohio University, Ohio, USA
2014 B.A., Geography, University of Northern Iowa, Iowa, USA


Dr. Xin Hong is an Assistant Professor in the Sustainability Program within the College of Interdisciplinary Studies at Zayed University (Abu Dhabi campus). Prior to joining Zayed University, she was a Postdoctoral Fellow in ANAMED at Koc University (Turkey), an Adjunct Instructor at Kent State University (USA), and a Consultant in the NASA DEVELOP National Program (USA). Dr. Hong specializes in geographic information systems (GIS), remote sensing, spatial data analytics, and artificial intelligence (AI) in image classification. Her current research focuses on the integrated application of geospatial technologies and AI in environmental pollution and digital archaeology. Her ongoing projects include mapping water bodies along the coastal area of Abu Dhabi using deep learning techniques on remote sensing images (funded by Zayed University), constructing an archival Anatolian atlas from a Turkey-wide set of aerial imagery (funded by Koc University), and mapping the cultural heritage for Central Anatolia.  


Abu Dhabi - Khalifa City, MF1-1-045


+971 2 599 3590

Teaching Areas

Geographic Information Systems, Remote Sensing, Spatial Data Analytics, Photogrammetry, Environmental Pollution, Deep Learning 

Research and Professional Activities

Geovisualization and Spatial Analysis, 7(23).

Hong, X. (2023). The integration of UAV, deep learning, and GIS in the assessment of a new neighborhood concept. Advanced UAV, 3(1), 1-9.

Hong, X., Sheridan, S, & Li, D. (2022). Mapping built environments from UAV imagery: a tutorial on mixed methods of deep learning and GIS. Computational Urban Science, 2(12).

Hong, X. (2021). Changes in environmental profiles of cancer villages: a case study of Aizheng Cun in China. The Professional Geographer, 73(2), 200-212.

Hong, X. & Lee, J. (2019). Mapping activities in recreational trail with spatial video: a case study in Kent State University. International Journal of Applied Geospatial Research, 10(4), 1-10.