Appointments
Assistant Professor, Department of Geography, University of Central Arkansas
2025–now
Visiting Assistant Professor, Geography Department, Clark University
2024–2025
GIS Analyst, Information Technology Services, City of Lewisville
2024–2024
Teaching Assistant, Gepspatial Information Scicences Department, UTD
2023-2024
Instructor, Gepspatial Information Scicences Department, UTD
2021-2023
Teaching Assistant, Gepspatial Information Scicences Department, UTD
2020-2021
Research Assistant, Gepspatial Information Scicences Department, UTD
2019-2020
Graduate Assistant, Geography, Binghamton Department
2017-2019
Publications
Wu, Y.,Yang, Y., Deng, C., & Maxwell, A. ‘Give me a point and I will place the map’: automated georeferencing historical maps using spatially explicit AI. IJGIS, 1-35.
Wu, Y.,Yang, Y., Yuan, M. Where Matters: Geographic Influences on Emergency Response—A Case Study of Dallas, Texas.. ISPRS International Journal of Geo-Information, 15(4), 141.
Yang, Y., Wu, Y., Yuan, M. (2025). Simulation‐Tested Spatial Association Mining of Co‐Location Patterns From Multiple Point‐Feature Classes. Transactions in GIS, 29(7), e70145.
Yang, Y., Wu, Y., & Yuan, M. (2024). What Local Environments Drive Opportunities for Social Events? A New Approach Based on Bayesian Modeling in Dallas, Texas, USA. ISPRS International Journal of Geo-Information, 13(3), 81.
Wu, Y., Yang, Y., & Yuan, M. (2024). Location Analytics of Routine Occurrences (LARO) to Identify Locations with Regularly Occurring Events with a Case Study on Traffic Accidents. Information, 15(2), 107.
Wu, Y., Yang, Y., & Yuan, M. (2023). Understanding the role of geographical environments in emergency dispatches with GPS trajectories. Abstracts of the ICA, 6, 276.
Wu, Y., Yang, Y., Yuan, M. (2022). Analyze emergency-vehicle dispatches in Dallas, Texas, USA. Unknown Journal.
Wu, Y., & Yuan, M. (2021). Where and why there: location analytics of routine occurrences (LARO) with a case study on traffic accidents. Abstracts of the ICA, 3, 318.
Wu, Y. (2019). Integration of Earth Observation and in Situ Data for Analyzing Lake Level Changes in Minnesota (1992–2016). Master's thesis, State University of New York at Binghamton.
Conference Proceedings
Wu, Y., Yang, Y., Yuan, M. Analyze emergency-vehicle dispatches in
Dallas, Texas, USA, In
AutoCarto 2022 Proceedings.
Yang, Y., Wu, Y., Yuan, M. Quantifying the impacts of social
infrastructure on human
networks, In AutoCarto 2022 Proceedings.
Awards
2023
Second Place in Graduate Paper Competition, SWAAG conference
International Cartographic Association Scholarship
Travel award from USNC for ICA with NSF funding to attend the ICC2023
Betty & Gifford Johnson Travel Award, UTD
2022
Graduate student participants of the Grad WINGS Workshop, UCGIS
International Cartographic Association Scholarship
Second Place, Student Lightning Talk Award, UCGIS Symposium
Third Place in GIS Day 2022 Awarded by Geospatial Information Sciences Program, UTD
Travel award from UCGIS to attend the UCGIS Symposium
The University of Texas at Dallas 2022 Three Minute Thesis (3MT) Competition, Finalist
Honorable mentions, GI Science & Systems Student Honors Paper Competition session, AAG
2021
Travel award from USNC for ICA with NSF funding to attend the ICC2021
Pioneers Student Research Fund, Geospatial Information Sciences Program, UTD
PhD Research Small Grants Awarded by the Office of Graduate Education, UTD
First Place in GIS Day 2021 Awarded by Geospatial Information Sciences Program, UTD
2019
First Place in GIS Day 2019 Awarded by Geospatial Information Sciences Program, UTD
Pioneers Student Research Fund, Geospatial Information Sciences Program, UTD
First Place in GIS Day 2019 Awarded by the Geography Department at Binghamton University
2015
Outstanding Prize in GeoDesign at Esri GIS Software Development Contest
Presentations
2026
Automated Georeferencing of Historical Maps Using Vision–Language Models, Harvard CGA Conference, October
ArcehiveLens: Semantic Reconstruction & Historical Urban Analytics, AAG, March
2025
Digitizing the Past: Reconstructing Historical Cities Using Machine Learning, SWAAG, November
Automatic Reconstruction of Historical Buildings through Deep Learning and Map Analysis, Arkansas GIS User Forum, October
Reconstructing Historical Urban Landscapes: A Machine Learning Approach to 3D City Modeling, AAG, March
2024
Understanding the role of geographical environments in emergency dispatch, AAG, March
2023
Identify geographical environments influencing emergency response performance, SWAAG
Modeling of emergency incidents with GPS trajectory data using random forest algorithm,
ICC
Assessing the role of geographical context in modeling the likelihood of emergency
response, AAG
2022
Driving pattern analysis for emergency vehicles (EV), AutoCarto
Understanding emergency vehicle movement from GPS trajectory data, GIS Day in UTD
Understanding 911 Response Time from GPS trajectory data, UTD Research Day
Driving pattern analysis for emergency vehicle (EV) using multi-source data, UCGIS,
Syracuse
Why is there a delay in a 911 vehicle arriving? The Three Minute Thesis (3MT)
Competition
Location analytics of routine occurrences (LARO) to identify locations with regularly
occurring events
Location Analytics of Routine Occurrences (LARO) with a case study on traffic accidents,
AAG, New York
2021
Location analytics of routine occurrences (LARO) with a case study on traffic accidents,
ICC, Italy
Emergency vehicle data map-matching utilizing the Dijkstra’s Algorithm, GIS Day in UTD
Spatial-temporal analysis of traffic accidents for increasing sustainable
transportation, The Center for Spatial Studies
The Three Minute Thesis (3MT) Competition, The University of Texas at Dallas
2020
Research Showcase Poster Competition, EPPS. The University of Texas at Dallas, October
2019
Visualizing (Wild) Fires in Sentinel-2 imagery using custom script in EO Browser. GIS Day in UTD, November
Developing an hourly risk model for street networks in Dallas. SWAAG, Fort Worth, Texas. October
Integration of Earth observations and in situ data for analyzing lake level changes. GIS Day Binghamton University, March
Integration of Earth observations and in situ data for analyzing lake level changes. AAG, Washington D.C. April