Zhenghong Tang

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Zhenghong Tang

Associate Dean for Research and Innovation & Professor of Community & Regional Planning Community & Regional Planning University of Nebraska-Lincoln

Contact

Address
ARCH 313
Lincoln NE 68588-0106
Phone
402-472-9281 On-campus 2-9281
Email
ztang2@unl.edu
Website

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Zhenghong Tang is the associate dean for research and innovation for the College of Architecture and a professor of Community & Regional Planning in the College of Architecture at the University of Nebraska-Lincoln. His research focuses on environmental planning, hazard mitigation, and Geo-AI. Dr. Tang's work aims to strengthen local planning capacity, fostering greater community resilience and environmental sustainability.  

Tang also serves as a professor in the Landscape Architecture Program at the University of Nebraska-Lincoln. He also holds a courtesy professor in the School of Natural Resources and the School of Global Integrative Studies, and serves as a faculty fellow in the Daugherty Water for Food Global Institute and the Center for Great Plains Studies.

Tang teaches undergraduate and graduate courses in various subjects including CRPL 470/870 Environmental Planning and Policy, CRPL 433/833 GIS in Environmental Design and Planning, CRPL 471/871 Environmental Impact Assessment, CRPL 472/872 Hazard Mitigation Planning, CRPL 802 Planning Theory, and CRPL 990 Planning Studio.

Tang's research agenda encompasses two major research areas:

(1)  Promoting “integrated planning” approach to improve state and local planning capacity for community resilience and sustainable development: Tang's research focuses on advancing an "integrated planning" approach to strengthen the capacity of state and local agencies in addressing extreme hazards, enhancing community resilience, and promoting sustainable development. This approach emphasizes the importance of tackling long-term, complex, and strategic environmental challenges, such as droughts and floods, through coordinated and adaptive planning. Tang collaborates extensively with state and local planning agencies, advocating for adaptation practices that support sustainable community development.  

(2)  Developing geospatial information platforms with machine/deep learning algorithms/Artificial intelligence (Geo-AI) for effective conservation and environmental management: Dr. Tang's current research focuses on developing geospatial information platforms that leverage machine learning, deep learning algorithms, and artificial intelligence (Geo-AI) for conservation mapping and environmental decision-making. These near-real-time platforms provide high-resolution, advanced insights into ecosystem services at spatiotemporal scales. This information supports federal, state, regional, and local agencies in wetland restoration, watershed planning, and soil and water conservation, offering valuable scientific assistance to guide effective environmental management.

For more information, please visit Tang’s personal webpage.

Education

Texas A&M University Urban and Regional Science Ph.D. 2007

Huazhong Agricultural University Soil Science M.S. 2000 

Hunan Normal University Land Management B.S. 1997