Meiliu Wu

Position title: Ph.D.

Email: mwu233@wisc.edu

Address:
Advisor: Qunying Huang

WEBSITES & PROFILE

EDUCATION

  • Ph.D., Geography, University of Wisconsin-Madison, USA (2021-current, expected 2024)
  • M.S., Cartography & GIS, University of Wisconsin-Madison, USA (2017-2019)
  • B.S., Geography (GIS & Remote Sensing Emphasis), University of Cincinnati, USA (2015-2017, 2+2 undergraduate program)
  • B.S., GIS & Remote Sensing, Sun Yat-sen University, China (2013-2015, 2+2 undergraduate program)
  • Exchange Program, GIS & Land Surveying, Queensland University of Technology, Australia (2015 Fall)

RESEARCH INTERESTS

  • Geospatial Data Science
  • GeoAI and GIScience
  • Human Mobility
  • Urban Informatics
  • Social Segregation and Environmental Justice

CURRENT RESEARCH PROJECTS

  • 2022: DSFAS-AI: Developing an Integrated Deep Learning Modeling Framework for County-Level Crop Yield Prediction in support of USDA NASS Operation, National Institute of Food and Agriculture, 1/1/2022 – 6/1/2024
  • Vision-Language Multimodal Learning for: (1) Image Geo-localization; and (2)Mixed Land Use Detection and Mapping
  • Evaluating the Economic Inequality Experienced by Different Racial-Ethnic and Economic Groups in US Largest Cities
  • Estimating Experienced Racial-Ethnic Segregation Based on Social Media Data: A Case Study in Los Angeles-Long Beach-Anaheim
  • Measuring racial-ethnic and income segregation in the entertainment and recreational POIs in US largest cities
  • Citizen-sourced Social Sensing: A Case Study of Using A Cross-platform Mobile App for Rapid Disaster Response

COURSES TAUGHT

  • Geog 170 Our Digital Globe: An Overview of GIScience and its Technology, Spring 2021 (Online; 250 undergraduate students)
  • Geog 576 Web Interactive Mapping & Geovisualization, Spring 2019 (Online; 50 graduate students)
  • Geog 370 Intro to Cartography, Fall 2018 (In-person; 80 undergraduate students)
  • Geog 578 GIS Applications, Spring 2018 (In-person; 50 graduate & undergraduate students)
  • Geog 574 Geospatial Database Design and Development, Fall 2017 (In-person; 50 graduate & undergraduate students)
  • Other responsibilities: developed quizzes, exams, and assignments; revised the syllabus to meet accreditation standards; coordinated grading and labs with a team of 2 or more teaching assistants

RECENT PUBLICATIONS

Papers in Preparation

  • Huang Q., Wu M., 2022. Database Fundamentals. In Xia J., Huang Q., Tu W., and Gui Z., eds. Open GIS. Springer.
  • Huang Q., Wu M., 2022. Relational Databases. In Xia J., Huang Q., Tu W., and Gui Z., eds. Open GIS. Springer.
  • Huang Q., Wu M., 2022. NoSQL Databases. In Xia J., Huang Q., Tu W., and Gui Z., eds. Open GIS. Springer.
  • Wu M., Huang Q., Gao, S., Huang X., 2022. Segregated pleasure: Measuring racial-ethnic and income segregation in the entertainment and recreational POIs in US largest cities.
  • Wu M., Huang Q., 2022. Exploring the correlation between POI-based mixed land uses and social segregation in US largest cities.
  • Wu M., Huang Q., 2022. Evaluating the economic inequality experienced by different racial-ethnic and economic groups in US largest cities.
  • Wu M., Huang Q., 2022. Citizen-sourced Social Sensing: A Case Study of Using A Cross-platform Mobile App for Rapid Disaster Response.
  • Qiu Y., Wu M., Huang Q., 2022. Measuring neighborhood wealthiness based on street view images.

Papers Under Review

  • Wu M., Huang Q., Gao S., 2022. Vision-Language Multimodal Learning for Mixed Land Use Mapping with Street View Images. In American Geophysical Union Fall Meeting (AGU 2022). Chicago, IL, USA. (Poster Accepted)
  • Wu M., Huang Q., 2022. Estimating experienced racial-ethnic segregation with individual mobility patterns and socio-demographics based on social media data: A case study in Los Angeles-Long Beach-Anaheim. Computers, Environment and Urban Systems. (Submitted)
  • Wu M., Huang Q., Wong D., 2022. Segregation: what’s in a name? A review of segregation measurement. Urban Studies. (To be submitted in November)

Journal Publications and Papers

  • Liu X.,  Wu M., Peng, B., Huang Q., 2022. Graph-based Representation Learning for Identifying Individual Travel Activities with Spatiotemporal Trajectories and POI Data. Scientific Reports. DOI: 10.1038/s41598-022-19441-9.
  • Wu, M. & Huang, Q., 2022. Human movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation? Annals of GIS, pp.1-23. DOI: 10.1080/19475683.2022.2026471.
  • Liu X., Huang Q., Li Z., Wu M., 2017. The Impact of MTUP: Explore Online Trajectories for Human Mobility Studies. In Proceedings of the 1st Workshop on Prediction of Human Mobility, ACM SIGSPATIAL 2017, Nov 7-10, Redondo Beach, CA, USA, pg.1-9.

Conference Publications and Papers

  • Wu M., Huang Q., 2022. IM2City: Image Geo-localization via Multi-modal Learning. In The 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI ’22), November 1, 2022, Seattle, WA, USA. ACM, Seattle, WA, USA, 12 pages. DOI: 10.1145/3557918.3565868

UNDERGRADUATES ADVISED

  • Yang Qiu, “Using Deep Learning to Evaluate Neighborhood Wealthiness Based on Street View Images”, May 2022
  • Yuehan Qin, “Big Data Mining on Social Media Data (tweets) for Human Mobility Research using Unsupervised Classification Algorithm – Latent Dirichlet Allocation (LDA) Model”, May 2019

FELLOWSHIPS & WORK EXPERIENCE

Big Data Mining Engineer, Beijing Digital Union Network Technology Co., Ltd., Beijing, 08/2019 – 01/2021

  • Designed a hybrid positioning system (GPS + Wi-Fi + base station) for a nationwide location-based service with stream data processing frameworks
  • Predicted activity zones based on the trajectories of mobile devices

Data Scientist, NASA Ames Research Center, Mountain View, CA, 06/2018 – 08/2018

  • 2018 NASA Ames Internship Symposium: Wu, M., Sorek-Hamer, M., Just, A., Nemani, R. Exploring Diurnal Variations in the Correlation between PM2.5 and Aerosol Optical Depth (Presentation link)
  • Responsibility: Big data analysis and statistical modelling; Satellite image processing; Data visualization using geographic point clouds; UI design using R-Studio Shiny

PROFESSIONAL & COMMUNITY SERVICES

  • Session Chairs, AAG Annual Meeting, 2023
  • Session Chair & Manager, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021
  • Manuscript Reviewer
    • Scientific Reports, 2022
    • International Journal of Applied Earth Observation and Geoinformation, 2021
    • Transactions in GIS, 2021
    • IEEE IGARSS Conference, 2020
  • Student Lead of Graduates Social Committee, Department of Geography, UW-Madison, 2017-2019
  • Graduate Representatives to Faculty/Staff Meetings, Department of Geography, UW-Madison, 2022-present

MEMBERSHIP & OUTREACH

  • 2017 – Present: Member, American Association of Geographers
  • 2021 – Present: Member, The International Association of Chinese Professionals in Geographic Information Sciences
  • 2021 – Present: Member, University Consortium for Geographic Information Science
  • 2022 – Present: Member, American Geophysical Union
  • 2022 – Present: Member, Association for Computing Machinery

AWARDS & HONORS

  • AAG Student Travel Grant – 2023 AAG Annual Meeting
  • ACM SIGSPATIAL 2022 Travel Grant – ACM SIGSPATIAL 2022
  • John Odland Award – 2022 AAG Annual Meeting, Second Place in the Spatial Analysis and Modeling (SAM) Student Paper Competition
  • Best Participation Award – 2021 International Graduate Workshop on GeoInformatics
  • Best Student Paper Competition winner – 2021 The International Association of Chinese Professionals in Geographic Information Sciences (CPGIS)
  • Trewartha/Odebolt Award & Funding – 2021 UW-Madison Department of Geography
  • Dean’s List for Excellent Graduate Students (Top 10%) – UW-Madison, 2017 – 2019
  • High Degree Honors in Geography & STEM Research Awards – University of Cincinnati, 2017
  • Undergraduate Global Scholarship – University of Cincinnati, 2016 ‐ 2017
  • National Full-funded Exchange Scholarships – Queensland University of Technology, 2015
  • National Scholarship for Excellent Students (Top 1%) – Ministry of Education of China, 2013 – 2014