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ac4rvf@r.postjobfree.com

Education

**** *.*. (Geographical Information Science), University of Illinois at Urbana-Champaign 2015 M.S. (Cartography and Geographical Information System), Peking University, China 2012 B.S. (Geographical Information System), Peking University, China 2012 Bachelor of Economics, Peking University, China Internship

2015 Data scientist intern, Homelink (Lianjia) Real Estate Agency Co., Ltd., Shanghai, China

• Evaluate and optimize site locations using statistical learning, spatial analysis and database

• Analyze and evaluate the performance and risk of each branch, store and agent 2011 Geospatial analyst intern, Aeronautical Radio Electronics Research Institute, Shanghai, China

• Prepare and process geographical data including remote sensing images

• Participate in the development of cartographic visualization and aircraft navigation system Research Experience

2015-2018 Research Assistant in CyberInfrastructure and Geospatial Information Laboratory, UIUC Selected projects:

Data-intensive spatial clustering over Inhomogeneous background

• Design and develop a fast spatial clustering algorithm ESCIP (Expansion-based Spatial Clustering Method for Inhomogeneous Point Processes) to detect statistically significant clusters using Bernoulli or Poisson point process models from millions of points Landform classification and feature extraction using LiDAR-derived DEM

• Use both machine learning models and topographic pattern recognition approaches for landform classification; build filters to extract ridge and valley from high-resolution DEM Community detection and urban delineation from collective geo-located Twitter data

• Develop methods for building mobility network using social media check-in data

• Delineate the urban boundaries in USA using Twitter Data at TB level National flood inundation mapping and risk management

• Improve procedure and algorithm for flow direction estimation

• National level flood risk modeling, analysis and validation Nation-wide automated comparison of stream networks from high resolution DEM

• Design and develop an open source toolkit for line comparison, including efficient algorithms for line density rasterization and vector identification India village-level geospatial socio-economic data product

• Synthesize, validate and correct massive data to deliver fine-scale geospatial data product TERRA reference data and computing platform for advanced field crop analytics

• Design customized projection for field data and develop a toolkit to automatize geospatial data reprojection, storage and query through spatial database

• Uncertainty analysis and error quantification

2015 Master’s thesis research: Landslide susceptibility mapping using ensemble learning methods

• Build prediction models using multiple machine learning methods including Bagging, Boosting, Random Forest, Bayesian Model Averaging, GLM, GAM, CART, SVM, etc. 2012-2015 Research Assistant in Geosoft lab, Peking University, Beijing, China Ting Li

Selected projects:

Natural hazard risk management in Shenzhen City, China

• Forecast landslides dynamically based on real-time rainfall and environment factors including river, plant, building, road, terrain parameters, lithology and soil type Global mineral resources detection system based on remote sensing

• Use machine learning methods and spatial analysis to model mineral distribution Information integration and sharing system for high resolution remote sensing application

• Analyze user, service and technical demand, design questionnaire for industry users, survey the development of high-resolution image service, and participate in writing the project report 2012 Bachelor’s thesis research: GIS-based Landslide Vulnerability Assessment System

• Propose a landslide vulnerability assessment model; apply the model in an evacuation decision support scenario; develop a prototype system using ArcGIS Engine 2010-2011 Undergraduate research program supported by the Principal Fund of Peking University: The real-time visualization and tracking of moving targets in virtual geographic environments.

• Build a virtual geographic environment using OpenSimulator

• Develop a web application to collect real-time GPS locations from smartphones and visualize the movements and trajectories in the virtual 3D environment simultaneously Teaching Experience

2013 Teaching Assistant, Principles of Geographic Information System, Peking University, China.

• Instruct students in ArcGIS and GIS programming using C# Selected Publications

2018 Li T, Gao Y, Wang S. ESCIP: An Expansion-based Spatial Clustering Method for Inhomogeneous Point Processes. Annals of the American Association of Geographers. In revision. 2018 Gao Y, Li T, Wang S, Jeong M and Soltani K. A multidimensional spatial scan statistics approach to movement pattern comparison. International Journal of Geographical Information Science. In press. 2016 Survila K, Yildirim A, Li T, Liu Y, Tarboton D and Wang S. A Scalable High-performance Topographic Flow Direction Algorithm for Hydrological Information Analysis. In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale. ACM, Article No. 11. 2014 Li T, Tian Y, Wu L, and Liu L. Landslide Susceptibility Mapping using Random Forest. Geography and Geo-Information Science. 30(6): 25-30 (in Chinese) 2013 Li T, Tian Y, Xiao C, and Zhao W. Slope location-based landslide vulnerability assessment. In: Proceedings of 21st International Conference on Geoinformatics. IEEE, 1-4. Computer Skills

Language R, Python, Bash, SQL, C, C++, C#, Hadoop, OpenMP, MPI, ASP.NET, Java, VB Software ArcGIS Desktop & Engine, GDAL, GRASS GIS, Database, Spatial Database, Git, ENVI, SPSS, CorelDraw, Origin, OpenSimulator

Honors and Awards

2017 Phi Kappa Phi Honor Society

2014 Graduate Special Scholarship Peking University, Beijing, China 2013 National Scholarship Ministry of Education of the People’s Republic of China 2013 First Prize Academic Scholarship Peking University, Beijing, China 2013 Merit Student Peking University, Beijing, China 2010 Academic Excellence Award Peking University, Beijing, China 2009 Academic Excellence Award Peking University, Beijing, China