Skills

• Web development: proficient in HTML, JavaScript, TypeScript, CSS, Vue and Echarts, experience with Angular and PHP;
• Web digital cartography: familiar with Mapbox, ArcGIS API for JavaScript, experience with D3, Leaflet and Cesium;
• Mapping tools: skillful at ArcMap, ArcGIS Pro, QGIS, experience with ENVI;
• Automating spatial data processing: familiar with Python (numpy, pandas, geopandas, ogr, gdal, pyqgis, arcpy) and skillful at multiprocessing, experience with SPSS and R;
• Database and server: skillful at GeoServer, Tileserver, mbtiles and PostgreSQL, experience with MySQL;
• 3D model processing: experience with Revit, 3DsMax and Blender;

Professional Experiences

I design and develope web applications focusing on the survey, construction management, supervision and visualization of nation-wide rural house spatial data for public administration
• Web development: Developed web map system with Mapbox GL JS, ArcGIS JS API, Echarts and Threejs based on Vue framework to render 2D and 3D map scenes, display thematic maps and provide web base graphic editing.
• Spatial data processing: Automated thematic data process and analytics (IDW interpolation, hotspot analysis, and kernel density analysis) with python to manage large datasets (millions of features for 34 districts)
• Spatial data server managing: Published geographic data (WMTS, WMS, WFS, WFTS, mbtiles) on Geoserver and Tileserver for web mapping.
• 3d model processing: Transformed and processed BIM model into light binary data (gltf, 3dtiles) with 3ds Max, Revit and open-source code

Awards:
• Outstanding Employee 2021, issued by Augur Intelligence Technology LTD
• High-Level Talents 2021, issued by Guangzhou Tianhe District

Patents:
• Cai, J., Chen, S., Chen, M., Li, D., Su, J., Xie, Q., Deng, M. (2022). Construction and display method of BIM model based on LOD (China. Patent No. CN114283231A)(pending)
• Wang, J., Deng, M., Cai, J., Fang, Y., Chen, M., Su, J., Xie, Q. (2022). Hierarchical LOD generation method, system and storage medium based on component semantic segmentation. (China. Patent No. CN115270237A)(pending)
• Li, D., Deng, M., Cai, J., Xie, Q., Fang, Y., Chen, M. (2022). Method, system, and medium for locating and rendering building information models in 3D environments. (China. Patent No. CN115496847A) (pending)

    Mar. 2018 - Jun. 2018

    Shenzhen Lvyun Technology LTD

    E-Learning Designer

• Responsible for designing and teaching online courses for elementary school students, including video recording, editing with Camtasia and animation production, etc.

Education

    Sep. 2023 - Present

    University of Iowa

    Ph.D student in Geographic Information Science and Cartography     GPA 4.00/4.00

Courses: Geographic Visualization, Social Science Research: Big Data, Research and Writing in Geography, Fundamentals of Geography

Courses: Web Programming, Mobile GIS, Spatial Database System, GIS and Spatial Modeling, Internet GIS, Spatial Analysis, Programming and Scripting for GIS, Spatial Statistics, Digital Image Processing and Analysis, Advanced Remote Sensing with Lidar

Awards: Graduate with Honor, Joint MSGIS Program of University of Maryland and Nanjing Normal University

Course: Python Data Structures

    Sep. 2014 - Jun. 2018

    Guangzhou University

    B.S. in Physical Geography, Resource & Environment     GPA 3.72/4.00

Courses: Geographical Information System, Geographic Modeling, Mapping Science, Land Management, Physical Geography, Principles of Urban Planning, etc.

Awards:
• College Scholarship (First-class, Second-class, third-class), Guangzhou University
• Outstanding Student Award, Guangzhou University
• Student Business Plan Competition Award (Second-class), Guangzhou University

    Sep. 2015 - Dec. 2017

    B.A. in English     GPA 3.35/4.00

Courses: Introduction to Linguistics, Translation Theory and Practice, English Literature, French as a Second Language Advanced English, Critical Thinking, etc.

Research Experiences

    Sep. 2023 - Dec. 2023

    Climate-driven health vulnerabilities of rural well users

    Research assistant, University of Iowa, Iowa City, USA.

• Synthesized literature and developed a conceptual framework for social vulnerability to health risks posed by groundwater pollution.
• Investigated relationships among socio-demographic characteristics, nitrate pollution level on private wells and colorectal disease risks in Iowa with spatial regression models and interpretable machine learning model.

    Oct. 2019 - Dec. 2019

    Regression Analysis on the relation of predicted NPP and actual NPP with year, precipitation, land cover, topography and variability

    Research assistant for Prof. Stephen D. Prince, University of Maryland, College Park, USA.

Analyzed the relation of predicted NPP and actual NPP with year, precipitation, land cover, topography and variability with multiple linear regressions on a large spatial dataset using R.

    Sep. 2019 - Nov. 2019

    Spatio-temporal Analysis of Public Sentiment With Twitter:
    A Case Study in New York City, USA

    Capstone Project of M.S. University of Maryland, College Park, USA.

    Analyzed and visualized sentiment distribution from twitter data to understand the spatial and temporal pattern of public happiness within New York City with a multivariate linear mixed-effect model.
    • Retrieved the twitter data with Twitter Streaming API and cleaned with NLTK, Pandas, RE using Python. Implemented Sentiment analysis with Long Short Term Memory (LSTM) neural network on Kaggle Kernel platform
    • Processed spatial data to acquire the land use categories of the tweets with ArcMap and ArcGIS Pro.
    • Investigated the fixed effect of land use and time period to the sentiment score was with a multivariate linear mixed-effects model with lme4 package using R.
    • Developed a Web GIS Application to visualize the sentiment score on map with the change of hours of the day and days of the week and filter of land use categories on Apache server using ArcGIS services, HTML, CSS, JavaScript, Mapbox GL JS and D3.js.

    Apr. 2019 - Jun. 2019

    Analysis of the Spatial Distribution of Violent Crime in Washington D.C., USA

    Course Project

Analyzed the spatial distribution of violent crime in Washington D.C with nearest neighbor analysis and kernel density estimation analysis using ArcMap. Results shown that the largest hotspot is located at the Cardozo-Shaw, Columbia Height and Park View neighborhoods and the minor one is located at the southeast area of Washington D.C., Anacostia neighborhood.

    Jan. 2018 - May. 2018

    Comparison of Pattern and Mechanism of City Growth and Shrinkage in the Pearl River Delta Area: A Case Study in Dongguan and Zhongshan.

    Thesis of B.S. Guangzhou University, Guangzhou, China.

Based on resident population, regional gross domestic product and the digital number of the nighttime light image, this paper builds the three analytical dimensions framework of population, economy and land and classifies towns in Dongguan and Zhongshan and analyzes the growth and shrinkage spatial pattern.

    Jan. 2017 - May. 2017

    Report on the Translation of Land Use and Society from the Perspective of Skopos Theory.

    Thesis of B.A. Guangzhou University, Guangzhou, China.

This report applies the Skopos Theory to the translation practice and revises the translation of Land Use and Society , a book of Land Resources Management, as a practice of the theory based translation of English for Science and Technology into Chinese

Projects

    Washington DC Temperature Explorer

    • Designed a city-to-regional visualization GIS application to display the climate change from 2014 to 2018 in Washington D.C area on Apache server. By monitoring and visual analysis of the summer temperature in large urban areas, the goal was to more intuitively display the temperature trend and predict the temperature trend of the city.
    • Processed spatial data from raster to polygon with ArcGIS for Desktop. Shared the data as an ArcGIS service and retrieved for visualization. Developed the web application with Mapbox GL JS and D3.js using HTML, CSS and JavaScript.

    Bookstore Map Web Application

    • Website design for bookstore lovers to find the locations of various independent bookstores and well-organized cultural activities information. Besides, the user can act as a contributor to record bookstores or activities.
    • Stored the bookstores and activities information with MySQL in phpMyAdmin tool.
    • Developed the web application using HTML, CSS, PHP and JavaScript.
    • Integrated Leaflet Javascript API to display the location of the bookstores in an openstreet map.
    • Built dynamic web pages with AJAX for the user to record the information to the server and get the response.

Personal

My interests outside of academia and work include dance, hiking and photography. I especially love all kinds of dances and body movements with learning experiences in ballet and Chinese classical dance. I believe that body movement can express and release personal emotions, feelings and states, which is not only a practical way to keep physical health but also a powerful process to build connection with the soul.