

Bing Zhou, Ph.D.
Assistant Teaching Professor
I am an Assistant Teaching Professor in the Department of Geography and the John A. Dutton Institute for Teaching and Learning Excellence within the College of Earth & Mineral Sciences. I earned my Ph.D. degree in the Department of Geography, Texas A&M University and specializes in geospatial data science, GeoAI, and Remote Sensing. I am the instructor for GEOG 589: Emerging Trends in Remote Sensing, and GEOG 480: Exploring Imagery and Elevation Data in GIS Applications.
Research Interests
My research aims to foster a resilient, equitable, and healthy society through responsible and geospatial thinking. One major focus of his research is on the development and application of advanced GeoAI algorithms to extract valuable information from various big geospatial data (crowd sourced data, mobility data, social media) for climate resilience, e.g., identifying location-based help-related information from social media to support disaster response in high-disaster-risk communities. The uniqueness of my research lies in my insightful reflection and contribution to the GIScience theories, methods, and applications. I proposes a revolutionary field, Responsible GIScience, which aims to inform GIScience research and education adhering to a set of rules that address ethical principles, account for human values, and safeguard societal interests.
Education


2021-2024
Texas A&M University
Ph.D.
Department of Geography.
Research: GeoAI in Disaster Management; Responsible GIScience; Computational Mental Health Study; Cyberinfrastructure
Dissertation: Step Toward Responsible GIScience: Paradigms, Challenges, and Applications.
2011-2014
Tongji University
Master of Engineering.
School of Geodesy and Geoinformatics.
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Research: Multi-sensor integration and localization.
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Thesis: Realization of Mobile Mapping System and Data Collection.
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2007-2011
Wuhan University
Bachelor of Engineering.
School of Geodesy and Geomatics.
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Research: GNSS positioning.
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Thesis: Research of Ionospheric Delay Interpolations and Their Performance Comparison.