1. DEGREES

2016: Doctor of Science (with distinction) in Geoinformatics, minored in applied mathematics, Department of Built Environment, Aalto University, Espoo, Finland

2009: Master of Science (Technology) in Geomatics, Department of Surveying, Helsinki University of Technology, Espoo, Finland

2005: Bachelor of Environmental Engineering, Tampere University of Applied Sciences, Tampere, Finland

2. work experience

09/01/2019 - Ongoing: Assistant Professor, Department of Geography, College of Arts and Sciences, Texas A&M University

03/01/2023 - Ongoing: Assistant Professor (Affiliate Position), Department of Electrical and Computer Engineering, College of Engineering, Texas A&M University

2017 - 2018: Postdoctoral Research Associate, Department of Geography & Geographic Information Science, University of Illinois Urbana-Champaign

2016: Application Specialist, Department of Spatial Data Infrastructure Services, National Land Survey of Finland

2009 - 2016: Graduate Research Assistant, Department of Built Environment, Aalto University, Finland

09/01/2023 - Ongoing: Faculty Fellow, Texas A&M Institute of Data Science

09/01/2023 - Ongoing: Faculty Fellow, Texas A&M Hazard Reduction & Recovery Center, Department of Landscape Architecture & Urban Planning, College Station, Texas, United States

03/2023 - Ongoing: Chair, American Association of Geographers (AAG), Cyberinfrastructure Specialty Group

09/2019- Ongoing: Group leader, University Consortium for Geographic Information Science (UCGIS), CyberGIS and Decision Support Systems Research Initiative

3. publications

* Graduate Student Paper

# Corresponding Author

Peer Reviewed Journal Article:

36. Zhang, Z., King, J., Wang, S., Sinton, D., Wilson, J., & Shook, E. (2024). Moving CyberGIS education forward: Knowing what matters and how it is decided. Transactions in GIS. https://doi.org/10.1111/tgis.13225

35. Song*, Z., Zhang#, Z., Lyu, F., Bishop, M., Liu, J., & Chi, Z. (2024). From Individual Motivation to Geospatial Epidemiology: A Novel Approach Using Fuzzy Cognitive Maps and Agent-Based Modeling for Large-Scale Disease Spread. Sustainability, 16(12), 5036.

34. Li*, D., & Zhang#, Z. (2023). MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence. Plos one, 18(11), e0293034.

33. Li*, D., Zhang#, Z., Alizadeh, B., Zhang, Z., Duffield, N., Meyer, M., Thompson, C., Gao, H., & Behzadan, A. (2023) A reinforcement learning-based routing algorithm for large street networks. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2023.2279975

32. Du, S., Yao, J., Shen, G. C., Lin, B., Udo, T., Hastings, J., Wang, F., Wang, F., Zhang, Z, Ye, X., Zhang, K. (2023). Social Drivers of Mental Health: A US Study Using Machine Learning. American Journal of Preventive Medicine. https://doi.org/10.1016/j.amepre.2023.05.022

31. Yang, Y., Chen, X., Gao, S., Li, Z., Zhang, Z., Zhao, B. (2023). Embracing geospatial analytical technologies in tourism studies. Information Technology & Tourism, 1-14.

30. Li, X., Fu, D., Nielsen-Gammon, J., Gangrade, S., Kao, S., Chang, P., Hernández, M., Voisin, N., Zhang, Z., Gao, H., (2022). Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey. Journal of Hydrology, 128774.

29. Hillin, J., Kharazi, B. A., *Li, D., Thompson, C. M., Meyer, M., Zhang, Z., & Behzadan, A. H., (2022) Designing user-centered decision support systems for climate disasters: What information do communities and rescue responders need during floods? Journal of Emergency Management. (Accepted).

28. Li, X., Yu, S., Huang, X., Dadashova, B., Cui, W., & Zhang, Z. (2022). Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas. Accident Analysis & Prevention, 173, 106721.

27. Cui, W., Hu*, N., Zhang, S., Li, D., Martinez, L., Goldberg, D., ... & Zhang#, Z. (2022). Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach. Computational Urban Science, 2(1), 1-14.

26. Li, X., Farrukh, M., Lee, C., Khreis, H., Sarda, S., Sohrabi, S., Zhang, Z. and Dadashova, B., (2022). COVID-19 impacts on mobility, environment, and health of active transportation users. Cities, 131, p.103886.

25. Huang, X., Xu, Y., Liu, R., Wang, S., Wang, S., Zhang, M., Kang, Y., Zhang, Z., Gao, S., Zhao, B., Li, Z., (2022). Exploring the spatial disparity of home-dwelling time patterns in the U.S. during the COVID-19 pandemic via Bayesian inference. Transactions in GIS. 26(4):1939-1961.

24. Alizadeh, B., Li*, D., Hillin, J., Meyer, M. A., Thompson, C. M., Zhang, Z., & Behzadan, A. H. (2022). Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos. Advanced Engineering Informatics, 54, 101730.

23. Zhang#, Z, Yin, D., Virrantaus, K., Ye, X., and Wang, S., (2021) Modeling human activity dynamics: an object-class oriented space–time composite model based on social media and urban infrastructure data. Computational Urban Science 1, 1-13.https://doi.org/10.1007/s43762-021-00006-x

22. #Zhang, Z., Zou, L., Li, W., Usery, L., Albrecht, J., Armstrong, M., (2021). Cyberinfrastructure and intelligent spatial decision support system. Transactions in GIS, 25(4), 1651-1653. https://doi.org/10.1111/tgis.12835

21. Jiang, H., Hu, H., Li, B., Zhang, Z., Wang, S., Lin, T., (2021). Understanding the Non-Stationary Relationships Between Corn Yield and Meteorology via a Spatiotemporally Varying Coefficient Model. Agricultural and Forest Meteorology, 301,108340.https://doi.org/10.1016/j.agrformet.2021.108340

20. Li, Y., Gao, H., George, A., Zhang, Z., (2021). Constructing Reservoir Area-Volume-Elevation Curve. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2249-2257.

19. Li, X., Dadashova, B., Yu, S., and Zhang, Z., (2020). Rethinking Highway Safety Analysis by Leveraging Crowdsourced Waze Data. Sustainability, 12(23), 10127. https://doi.org/10.3390/su122310127

18. *Li, D., Chaudhary, H., and Zhang#, Z., (2020). Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining. International Journal of Environmental Research and Public Health, 17(14), 4988.

https://doi.org/10.3390/ijerph17144988

17. Xu, B., Li, Y., Han, F., Zheng, Y., Ding, W., Zhang, C., Wallington, K. and Zhang, Z., (2020). The transborder flux of phosphorus in the Lancang-Mekong River Basin: Magnitude, patterns and impacts from the cascade hydropower dams in China. Journal of Hydrology, 590, p.125201.

https://doi.org/10.1016/j.jhydrol.2020.125201

16. Zhang#, Z., Laakso, T., Wang, Z., Pulkkinen, S., Ahopelto, S., Virrantaus, K., Li, Y., Cai, X., Zhang, C., Vahala, R. and Sheng, Z., (2020). Comparative Study of AI-Based Methods—Application of Analyzing Inflow and Infiltration in Sanitary Sewer Subcatchments. Sustainability, 12(15), p.6254.

https://doi.org/10.3390/su12156254

15. Zhao J., Zhang, Z., Sullivan, C., (2019). Identifying anomalous nuclear radioactive sources using Poisson Kriging and mobile sensor networks, PLoS ONE, 14(5): e021613 (Zhang and Zhao Contributed equally to this work).

https://doi.org/10.1371/journal.pone.0216131

14. Armstrong, M., Wang., S., and Zhang., Z., (2018). The Internet of Things and fast data streams: prospects for geospatial data science in emerging information ecosystems. Cartography and Geographic Information Science, 46(1): 39-56.

https://doi.org/10.1080/15230406.2018.1503973

13. Zhang, Z., Hu, H., Yin, D., Kashem, S., Li, R., Cai, H., Perkins, D., and Wang, S., (2018A). A CyberGIS-enabled multi-criteria spatial decision support system: a case study on flood emergency management. International Journal of Digital Earth: 12(11), 1364-1381.

https://doi.org/10.1080/17538947.2018.1543363

12. Seppänen, H., Luokkala, P., Zhang, Z., Torkki, P., and Virrantaus, K. (2018). Critical infrastructure vulnerability- a method for identifying the infrastructure service failure interdependencies, International Journal of Critical Infrastructure Protection, 22: 25-38. https://doi.org/10.1016/j.ijcip.2018.05.002

11. Zhang#, Z., Demsǎ, U., Wang, S., and Virrantaus, K., (2018). A spatial fuzzy influence diagram for modelling spatial objects’ dependencies: a case study on tree-related electric outages. International Journal of Geographical Information Science, 32(2): 349-366.

https://doi.org/10.1080/13658816.2017.1385789

10. Zhang#, Z., and Virrantaus, K., (2016). Use of fuzzy decision-making approach in analysis of the vulnerability of street network for disaster management. Nordic Journal of Surveying and Real Estate Research, 11(2): 7-19.

https://journal.fi/njs/article/view/65131

9. Zhang#, Z., Demsǎ, U., Rantala, J., and Virrantaus, K., (2014). A fuzzy multiple- attribute decision making modelling for vulnerability analysis on the basis of population information for disaster management. International Journal of Geographical Information Science, 28(9): 1922-1939.

https://doi.org/10.1080/13658816.2014.908472

Peer Reviewed Conference Proceedings:

8. Zhang, Z., Wang, Z., Li, A., Ye, X., Usery, E. L., & Li*, D. (2021, November). An Al-based Spatial Knowledge Graph for Enhancing Spatial Data and Knowledge Search and Discovery. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 13-17.https://doi.org/10.1145/3486640.3491393

7. *Li, D., & Zhang#, Z. (2021, November). Urban computing cyberinfrastructure: visualizing human sentiment using social media and augmented reality. In Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, 27-31.

https://doi.org/10.1145/3486626.3493430

6. *Zhang, Z., Li, D., Zhang, Z., & Duffield, N. (2021, November). A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, 13-17.

https://doi.org/10.1145/3486637.3489489

5. *Alizadeh, B., Li, D., Zhang, Z., Behzadan, A., (2021). Feasibility study of urban flood mapping using traffic signs for route optimization. EG-ICE 2021 Workshop on Intelligent Computing in Engineering, 572-581.

https://arxiv.org/abs/2109.11712

4. Zhang#, Z., and Virrantaus, K., (2010). Analysis of vulnerability of road networks on the basis of graph topology and related attribute information. Philips-Wren G., Jain L.C., Nakamatsu K., Howlett R., eds., Advances in Intelligent Decision Technologies, 353-363, New York: Springer Berlin Heidelberg.

3.Zhang#, Z., Rangsima, S., and Virrantaus, K., (2010). A spatio-temporal population model for alarming, situational picture and warning system. The International Archives of the Photogrammetry, Remote sensing and Spatial Information Sciences, 38 (2), 69-74.

Peer Reviewed Book Chapter:

2. Wang, S., Bishop, M. P., Zhang, Z., Young, B. W., & Xu, Z. (2021). CyberGIS and Geospatial Data Science for Advancing Geomorphology. In: Technology-driven geomorphology: Geospatial data science. Elsevier Publishing Inc. Oxford.

1. Zhang#, Z., (2020). Thematic accuracy. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2020 Edition) John P. Wilson(ed). 10.22224/gistbok/2020.2.3

Other Publications

Other Publications:

8. *Li, D., Zhang, S., Huilin, J., Alizadeh, B., (2022). A geospatial cyberinfrastructure for street level flood mapping and emergency management. (AAG 2022 Robert Raskin student paper competition, Second Place)

7. Zhang, Z. (2021). Spatial Decision Support Systems for Advancing Disaster Resilience. Texas A&M PRIMR conference. (abstract)

6. Zhang#, Z., Breen, K., Goddard, T., Han, D., Li, X., Meyer, M., Ye, X., Yu, S., (2020). Social Vulnerability, Mobility, and COVID-19 Spatial Mortality Patterns. NSF Converge, COVID-19 Working Groups for Public Health and Social Sciences Research. Available from web:
https://converge.colorado.edu/working-groups/social-vulnerability-mobility-and-covid-19-spatial-mortality-patterns/

5. Campbell, N., Ali, S., Binder, S., Ganapati, E., ……, Zhang, Z., (2020). Social Safety Net Organizations Serving Vulnerable Populations. NSF Converge, COVID-19 Working Groups for Public Health and Social Sciences Research. Available from web:
https://converge.colorado.edu/working-groups/social-safety-net-organizations-serving-vulnerable-populations/

4.Vickery, J., Aggarwal, R., Alam, E., Marks, A., ……Zhang, Z., (2020). Homelessness, Housing Precarity, and COVID-19. NSF Converge, COVID-19 Working Groups for Public Health and Social Sciences Research. Available from web: https://converge.colorado.edu/working-groups/homelessness-housing-precarity-and-covid-19/

3. Benton, A., Irwin, J., Maier, S., Remes, J., Zhang, Z., (2020). Impact of Narratives and Framing in Response to COVID-19. NSF Converge, COVID-19 Working Groups for Public Health and Social Sciences Research. Available from web:
https://converge.colorado.edu/working-groups/impacts-of-narratives-and-framing-in-response-to-covid-19/

2. Brisotto, C., Oliveira, F., Murphy, C., Wang, L., Zhang, Z., Zhang, Z., and Zong, J., (2020). Urban Design Strategies for Future Food Systems. Available from web: https://converge.colorado.edu/working-groups/urban-design-strategies-for-future-food-systems/

1.Zhang#, Z., (2019). Geospatial Software Institute: A Knowledge Hub for Driving Sustainable Geospatial Software Ecosystem. The 3rd NSF Workshop on Conceptualizing a National Geospatial Software Institute.

https://gsi.cigi.illinois.edu/workshop3/position-papers/

4. AWARDS AND HONORS

2023: CAREER Award from National Science Foundation!

2022: Travel Award

STEM-Trek SC22 Co-Located workshop at International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Dallas

2022: Student Research Award

Texas A&M Student Data Science Competition

Ph.D. students Diya Li and Zhenlei Song won the first prize and best presentation awards in Texas A&M Student Data Science Competition

2022: I-GUIDE Community Champion Research Award, University Consortium for Geographic Information

Received $3000 grants from the Community Champion program

2022: Student Research Award

AAG Robert Raskin Student Competition

Ph.D student Diya Li won second place in the competition

2021: Partnership Award

Partnership Award with Texas Youth Action Network

2021: The LIGHTBULB Education Award

Texas Youth Action Network

Received this award due to my excellent teaching and outreach in youth communities

2019: Travel Award from National Science Foundation- Conceptualization: Geospatial Software Institute (GSI) Workshop

Participated in the GSI workshop and led a panel discussion

5. GRANTS

Funded External Grants: Total Over $18 million

2023 National Science Foundation

CAREER: A Cyberinfrastructure Enabled Hybrid Spatial Decision Support System for Improving Coastal Resilience to Flood Risks, Zhang (Sole PI), $568,302

2023 National Science Foundation

Collaborative Research: CyberTraining: Implementation: Small: Broadening Adoption of Cyberinfrastructure and Research Workforce Development for Disaster Management, Zhang (PI), $454,847

2023 National Science Foundation

CC* Data Storage: FASTER Data Infrastructure to Accelerate Computing, Zhang (Co-PI), $499,527

2023 National Science Foundation

Collaborative Research: Conference: Geospatial Cyberinfrastructure Workshop: Building High-Performance, Ethical, and Secured Geospatial Software, Zhang (PI), $25,020

2022 National Science Foundation (Travel Award)

STEM-Trek SC22 Co-Located workshop at International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Dallas, Zhang (PI), $800 travel award

2022-2024 NASA Earth Science Applications: Equity and Environmental Justice

A spatial decision support system for identifying heat vulnerability based on a comprehensive energy budget model and multi-criteria decision analysis in Oklahoma City, OK; Zhang (Institutional PI), $149,163

2022 UCGIS- I-GUIDE Community Champion founded by NSF

Challenges and Implementation of CyberGIS Education in GIS&T Body of Knowledge: from Educators’ Perspectives to Popular Practices. Part of NSF HDR Institute: Geospatial Understanding through an Integrative Discovery Environment project (#2118329), Zhang (Community Champion PI), $3000 to Zhang

2021-2022 US Department of Transportation

Impact of COVID-19 Induced Active Transportation Demand on the Built Environment and Public Health; Zhang (Co-PI), $90,000

2021-2023 National Geographic Society

Texas Youth Geography Network: Spatial Learning Tools for Advancing Youth Geography Education; Zhang (Sole PI); $42,978

2021-2023 National Science Foundation

NSF Convergence Accelerator Track E: Combining high-resolution climate simulations with ocean biogeochemistry, fisheries and decision-making models to improve sustainable fisheries; Zhang (PI), $750,000

2021-2026 National Science Foundation

Category II: ACES - Accelerating Computing for Emerging Sciences; Zhang (Co-I), $12,249,999

2021-2022 Texas Department of State Health Services

K-12 Geography and GIS education program- Texas Youth Action Network; Zhang (Sole PI), $10,000

2020-2023 National Science Foundation

MRI: Acquisition of FASTER – Fostering Accelerated Sciences Transformation Education and Research; Zhang (Co-PI), $3,090,000

2020 National Science Foundation- Natural Hazard Center Converge

Working Groups, Social Vulnerability, Mobility, and COVID-19 Spatial Mortality Patterns; Zhang (PI); $1000 to Zhang

2020 National Science Foundation - Natural Hazard Center Converge

Working Groups, Social Safety Net Organizations Serving Vulnerable Populations; Zhang (Co-PI), $1000,

2020 National Science Foundation- Natural Hazard Center Converge

Working Groups, Homelessness, Housing Precarity, and COVID-19; Zhang (Co-I), $1000,

2020 National Science Foundation - Natural Hazard Center Converge

Working Groups, Urban Design Strategies for Future Food Systems; Zhang (Co-PI); $1000

2020 National Science Foundation - Natural Hazard Center Converge Working Groups

Impact of Narratives and Framing in Response to COVID-19; Zhang (Co-PI), $1000

2019 National Science Foundation

Conceptualization: Geospatial Software Institute; Zhang (PI for travel grant); $1000 travel grant

2019-2022 NOAA Sea Grant

A Hybrid Decision Support System for Driving Resiliency in Texas Coastal Communities; Zhang (Co-PI); $299,995

2012-2014 Ministry of Education and Culture of Finland- Doctoral

Programme in Built Environment Grant

Computational Methods in Supporting Spatial Decision Making- Case Studies on Vulnerability Analysis of Critical Infrastructure and Utilisation of Population Information; Zhang (Sole PI); 55,080 €

Funded Internal Grants: Total $650,000

Texas A&M Targeted Proposal Team (TPT) grant

Center for Healthy, equitable, and resilient transportation + environment in Texas, Zhang (Co-I); $250,000

2022-2024 Texas A&M Institute of Data Science (TAMIDS)

Texas A&M Thematic Data Science Labs Program, Design & Analytics Lab for Urban Artificial Intelligence (DAL), Zhang (Co-PI); $300,000

2022-2023 Texas A&M Dean’s Program

Analyzing Associations between Food Insecurity and Health Outcomes using Multi-source Micro Data; Zhang (PI), $10,000

2021-2022 Texas A&M President’s Excellence Fund: T3 Grant

Human-Centered Decision Support System for Improving Urban Resilience in Disaster Management; Zhang (PI), $32,000

2021-2022 Geoscience Dean’s Funding Program

A Community-Scale Climate Change Adaptation System based on Spatial Decision Analysis and High-Resolution Climate Simulations and Projections, Zhang (PI), $6000, $3000 to Zhang

2020-2021 Texas A&M School of Innovation- Innovation [X]

An Intelligent Spatial Decision Support System based on Citizen Science for Driving Resilience in Coastal Communities; Zhang (PI); $20,000

2020-2021 Texas A&M TAMIDS Data Resource Development Program

A Spatial Decision Support System for Cardiovascular Disease Risk Assessment in Response to the COVID-19 Crisis; Zhang (Sole PI); $32,000

6. Services

2023, March

Activity: Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions: CyberGIS and Spatial Decision Support Systems (University Consortium for Geographic Information Science, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

2023, March

Activity: Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions: Human Environment Interactions and Spatial Data Science, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

2023, March

Activity: Symposium on Harnessing the Geospatial Data Revolution for Sustainability Solutions, Organization: AAG, Service Type: National, Service Role: Symposium Co-Chair, Regionality: National

2022 - Present

Activity: Cyberinfrastructure Specialty Group, Organization: AAG, Service Type: National, Service Role: Chair, Regionality: National

Jan 2020 - Present

Activity: Panelist for four National Science Foundation Programs, Organization: National Science Foundation, Service Type: National, Service Role: Panelist, Regionality: National

2019 - Present

Activity: Lead CyberGIS and Decision Support Systems research initiative, Organization: UCGIS, Service Type: National, Service Role: Leader of a research committee, Regionality: National

June 2022

Activity: National Science Foundation Convergence Accelerator Expo, Organization: National Science Foundation, Service Type: National, Service Role: Session Chair, Regionality: National

June 2022

Activity: Panelist of AI in Spatial Decision Support Session, Organization: UCGIS Symposium, Service Type: National, Service Role: Panelist, Regionality: National

February 2022

Activity: Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS, Organization: AAG, Service Type: National, Service Role: Symposium Co-Chair, Regionality: National

February 2022

Activity: Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS- Human Centered Spatial Decision Support Systems, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

April 2021

Activity: The 7th Symposium on Human Dynamics Research, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

April 2020

Activity: Symposium on Frontiers in Geospatial Data Science, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

September 2019

Activity: The 3rd NSF Conceptualizing a Geospatial Software Institute workshop, Service Type: National, Service Role: Session Chair, Regionality: National

April 2019

Activity: Symposium on Frontiers in Geospatial Data Science: Synergizing Geospatial Data Science with Domain Applications IV: Disaster Management, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

April 2018

Activity: Symposium on CyberGIS and Spatial Data Science, Organization: AAG, Service Type: National, Service Role: Session Chair, Regionality: National

7. Professional Membership

November 2022 - Present: United States Research Software Engineer Association, Member

March 2023 - Present: AAG, Cyberinfrastructure Specialty Group, Chair

January 2021 – December 2022: Frontiers in Environmental Science- special issue on Big Earth Data Intelligence for Environmental Modeling, Guest Editor

January 2020 – December 2022: Frontiers in Big Data – special issue on Big Data for Urban Systems, Guest Editor

January 2020 - Present: Computational Urban Science, Associate Editor

January 2019 – December 2021: Transactions in GIS - Special Issue on Cyberinfrastructure and Intelligent Spatial Decision, Guest Editor

Sep 2020 - Present: Spatial Decision Support Consortium, Member

Sep 2020 - Present: Open Geospatial Consortium (OGC), Member

Sep 2020 - Present: American Heart Association (AHA), Member

Sep 2019 - Present: American Association for the Advancement of Science (AAAS), Member

Sep 2019 - Present: Association for Computing Machinery (ACM), Member

Sep 2019 - Present: Institute of Electrical and Electronics Engineers (IEEE), Member

Sep 2019 - Present: IEEE Computational Intelligence Society, Member

Sep 2019 - Present: Knowledge-based & Intelligent Engineering System (KES International), Member

Sep 2019 - Present: International Society for Photogrammetry and Remote Sensing (ISPRS), Member

Sep 2019 - Present: American Association of University Woman (AAUW), Member

Sep 2019 - Present: American Geophysical Union (AGU), Member

Sep 2019 - Present: UCGIS, CyberGIS and Decision Support Systems Research Initiative, Group Leader

1. DEGREES

​

2. work experience

​

* Graduate Student Paper

# Corresponding Author

Peer Reviewed Conference Proceedings:

​

Peer Reviewed Book Chapter:

​

2. Wang, S., Bishop, M. P., Zhang, Z., Young, B. W., & Xu, Z. (2021). CyberGIS and Geospatial Data Science for Advancing Geomorphology. In: Technology-driven geomorphology: Geospatial data science. Elsevier Publishing Inc. Oxford.