Resume-Qunshan Zhao
Qunshan Zhao
Summary
9 years of experience in spatial data handling and mapping, satellite image processing, spatial statistics/optimization, and spatial data visualization. Solid understanding of machine learning and data mining methods. Skilled in data analysis, modeling and visualization on large real world datasets. Excellent work ethic.
Relevant Skills
Programming language: Python (Numpy, Scipy, Pandas, Scikit-learn, Matplotlib, PySAL), R, SQL.
Software skills: ArcGIS, QGIS, Microsoft SQL Server, Weka, MATLAB, FME, CARTO, PostGIS, ENVI, ERDAS, eCognition, Minitab, SPSS, GeoDa, GWR, CPLEX, Gurobi, LINGO, ENVI-met, RayMan, SketchUp, AutoCAD.
Experience
Postdoctoral Research Associate 08/2017 to Present
Arizona State University Tempe, AZ
Knowledge Exchange for Resilience
� Utilized machine learning methods to understand the occurrence of indoor heat morbidity and mortality.
� Applied spatial optimization to improve the utility assistance system operational efficiency of Salvation Army.
� Developed ActivityLog smart phone application and survey to understand the individual heat exposure.
Research Assistant/Associate 01/2014 to 08/2017
Arizona State University Tempe, AZ
Dissertation: Evaluating the Effectiveness of Tree Locations and Arrangements for Improving Urban Thermal Environment
� Applied spatial optimization to maximize tree shade coverage on building structures in the 3D GIS environment.
� Utilized physical scale model with field measurements to evaluate the tree shade benefits on the building facade.
� Employed microclimate numerical simulation to evaluate locational benefits from trees in the neighborhood.
NSF CNH: Feedbacks between human community dynamics and socio-ecological vulnerability in a biodiversity hotspot
� Served as the data science manager for all the social survey data, GIS data and satellite images.
� Generated social and ecological parameters by using satellite images processing, GIS and spatial statistics.
� Analyzed the relationships between invasive species coverage and socio-ecological factors by using R.
NIH R21: Innovation in the Measurement of Community Contextual Features
� Digitized and managed the paper survey data and tablet survey data in the GIS environment.
� Produced human activity space data by using spatial statistics, network analysis, and GIS.
� Applied the social network analysis by using Python and R.
Mixed Methods Analysis of Refueling Infrastructure Preferences for Adopting Hydrogen Fuel-Cell Vehicles
� Created a transportation network dataset in GIS for hydrogen fuel cell vehicle refueling station modeling.
� Generated and managed the large network dataset by Microsoft SQL server.
� Applied mixed location modeling methods to locate the refueling stations optimally by CPLEX.
Analyzing Urban Heat Island Phenomenon by Using High Resolution Satellite Images
� Registered high-resolution airborne thermal imagery in ENVI.
� Classified the QuickBird satellite images in eCognition by machine learning methods.
� Analyzed the relationships between rooftop surface temperature, rooftop configuration, and nearby vegetation.
Instructor 01/2017 to 05/2017
Arizona State University Tempe, AZ
� Taught an optimization and GIS course: Optimization Fundamentals for Spatial Analysis.
Teaching Assistant 08/2013 to 12/2013
Arizona State University Tempe, AZ
� Served as the lab leader and grader for an introductory GIS course: Geographic Information Technologies.
Education
Doctor of Philosophy: Geography (with the concentration of Spatial Data Science) 2017
Arizona State University Tempe, AZ, United States
3.8/4.0 GPA
Master of Arts: Geography 2015
Arizona State University Tempe, AZ, United States
Bachelor of Engineering: Remote Sensing Science and Technology 2013
Wuhan University Wuhan, Hubei, China
Honors and Awards
J. Warren Nystrom Award, American Association of Geographers (2018)
Dissertation Research Grant, American Association of Geographers (2017)
Graduate Excellence Awards, College of Liberal Arts and Sciences, Arizona State University (2017)
Finalist of Landscape Specialty Group Student Presentation Competition, Association of American Geographers (2016)
Graduate Grants for Research in Urban Ecology and Urban Systems Research, Central Arizona-Phoenix Long-Term Ecological Research (CAP-LTER), Arizona State University (2015, 2017)
University Graduate Fellowship, Arizona State University (2013-2014, 2017)
Journal articles
Publications
� Zhao, Q., Sailor, D. J., & Wentz, E. A. (2018). Impact of tree locations and arrangements on outdoor microclimates and human thermal comfort in an urban residential environment. Urban Forestry & Urban Greening, 32, 81�91.
� Zhao, Q., Yang, J., Wang, Z., & Wentz, E. A. (2018). Assessing the cooling benefits of tree shade by an outdoor urban physical scale model site at Tempe, AZ. Urban Science, 2(1), 4.
� Zhao, Q., Wentz, E. A., & Murray, A. T. (2017). Tree shade coverage optimization in an urban residential environment. Building and Environment, 115, 269-280.
� Zhao, Q., & Wentz, E. A. (2016). A MODIS/ASTER Airborne Simulator (MASTER) Imagery for Urban Heat Island Research. Data, 1(1), 7.
� Zhao, Q., Myint, S. W., Wentz, E. A., & Fan, C. (2015). Rooftop surface temperature analysis in an urban residential environment. Remote Sensing, 7(9), 12135-12159.
� Kuai, X., & Zhao, Q. (2017). Examining healthy food accessibility and disparity in Baton Rouge, Louisiana. Annals of GIS, 1-14.
� Yabiku, S. T, Glick, J. E., Wentz, E. A., Ghimire, D., & Zhao, Q. (2017). Comparing paper and tablet modes of retrospective activity space data collection. Survey Research Methods, 11(3), 329�344.
Conference papers
� Zhao, Q., Wentz, E. A., Fotheringham, A. S., Yabiku, S. T., Hall, S. J., Dai, J., Clark, M., & Heavenrich, H. (2016). Semi-parametric Geographically Weighted Regression (S-GWR): a Case Study on Invasive Plant Species Distribution in Subtropical Nepal. In 9th International Conference on Geographic Information Science, Montreal, Canada.
� Zhao, Q., Wentz, E. A. & Murray, A. T. (2014). Shade optimization in a desert environment. In 8th International Conference on Geographic Information Science, Vienna, Austria.
Qunshan Zhao
Summary
9 years of experience in spatial data handling and mapping, satellite image processing, spatial statistics/optimization, and spatial data visualization. Solid understanding of machine learning and data mining methods. Skilled in data analysis, modeling and visualization on large real world datasets. Excellent work ethic.
Relevant Skills
Programming language: Python (Numpy, Scipy, Pandas, Scikit-learn, Matplotlib, PySAL), R, SQL.
Software skills: ArcGIS, QGIS, Microsoft SQL Server, Weka, MATLAB, FME, CARTO, PostGIS, ENVI, ERDAS, eCognition, Minitab, SPSS, GeoDa, GWR, CPLEX, Gurobi, LINGO, ENVI-met, RayMan, SketchUp, AutoCAD.
Experience
Postdoctoral Research Associate 08/2017 to Present
Arizona State University Tempe, AZ
Knowledge Exchange for Resilience
� Utilized machine learning methods to understand the occurrence of indoor heat morbidity and mortality.
� Applied spatial optimization to improve the utility assistance system operational efficiency of Salvation Army.
� Developed ActivityLog smart phone application and survey to understand the individual heat exposure.
Research Assistant/Associate 01/2014 to 08/2017
Arizona State University Tempe, AZ
Dissertation: Evaluating the Effectiveness of Tree Locations and Arrangements for Improving Urban Thermal Environment
� Applied spatial optimization to maximize tree shade coverage on building structures in the 3D GIS environment.
� Utilized physical scale model with field measurements to evaluate the tree shade benefits on the building facade.
� Employed microclimate numerical simulation to evaluate locational benefits from trees in the neighborhood.
NSF CNH: Feedbacks between human community dynamics and socio-ecological vulnerability in a biodiversity hotspot
� Served as the data science manager for all the social survey data, GIS data and satellite images.
� Generated social and ecological parameters by using satellite images processing, GIS and spatial statistics.
� Analyzed the relationships between invasive species coverage and socio-ecological factors by using R.
NIH R21: Innovation in the Measurement of Community Contextual Features
� Digitized and managed the paper survey data and tablet survey data in the GIS environment.
� Produced human activity space data by using spatial statistics, network analysis, and GIS.
� Applied the social network analysis by using Python and R.
Mixed Methods Analysis of Refueling Infrastructure Preferences for Adopting Hydrogen Fuel-Cell Vehicles
� Created a transportation network dataset in GIS for hydrogen fuel cell vehicle refueling station modeling.
� Generated and managed the large network dataset by Microsoft SQL server.
� Applied mixed location modeling methods to locate the refueling stations optimally by CPLEX.
Analyzing Urban Heat Island Phenomenon by Using High Resolution Satellite Images
� Registered high-resolution airborne thermal imagery in ENVI.
� Classified the QuickBird satellite images in eCognition by machine learning methods.
� Analyzed the relationships between rooftop surface temperature, rooftop configuration, and nearby vegetation.
Instructor 01/2017 to 05/2017
Arizona State University Tempe, AZ
� Taught an optimization and GIS course: Optimization Fundamentals for Spatial Analysis.
Teaching Assistant 08/2013 to 12/2013
Arizona State University Tempe, AZ
� Served as the lab leader and grader for an introductory GIS course: Geographic Information Technologies.
Education
Doctor of Philosophy: Geography (with the concentration of Spatial Data Science) 2017
Arizona State University Tempe, AZ, United States
3.8/4.0 GPA
Master of Arts: Geography 2015
Arizona State University Tempe, AZ, United States
Bachelor of Engineering: Remote Sensing Science and Technology 2013
Wuhan University Wuhan, Hubei, China
Honors and Awards
J. Warren Nystrom Award, American Association of Geographers (2018)
Dissertation Research Grant, American Association of Geographers (2017)
Graduate Excellence Awards, College of Liberal Arts and Sciences, Arizona State University (2017)
Finalist of Landscape Specialty Group Student Presentation Competition, Association of American Geographers (2016)
Graduate Grants for Research in Urban Ecology and Urban Systems Research, Central Arizona-Phoenix Long-Term Ecological Research (CAP-LTER), Arizona State University (2015, 2017)
University Graduate Fellowship, Arizona State University (2013-2014, 2017)
Journal articles
Publications
� Zhao, Q., Sailor, D. J., & Wentz, E. A. (2018). Impact of tree locations and arrangements on outdoor microclimates and human thermal comfort in an urban residential environment. Urban Forestry & Urban Greening, 32, 81�91.
� Zhao, Q., Yang, J., Wang, Z., & Wentz, E. A. (2018). Assessing the cooling benefits of tree shade by an outdoor urban physical scale model site at Tempe, AZ. Urban Science, 2(1), 4.
� Zhao, Q., Wentz, E. A., & Murray, A. T. (2017). Tree shade coverage optimization in an urban residential environment. Building and Environment, 115, 269-280.
� Zhao, Q., & Wentz, E. A. (2016). A MODIS/ASTER Airborne Simulator (MASTER) Imagery for Urban Heat Island Research. Data, 1(1), 7.
� Zhao, Q., Myint, S. W., Wentz, E. A., & Fan, C. (2015). Rooftop surface temperature analysis in an urban residential environment. Remote Sensing, 7(9), 12135-12159.
� Kuai, X., & Zhao, Q. (2017). Examining healthy food accessibility and disparity in Baton Rouge, Louisiana. Annals of GIS, 1-14.
� Yabiku, S. T, Glick, J. E., Wentz, E. A., Ghimire, D., & Zhao, Q. (2017). Comparing paper and tablet modes of retrospective activity space data collection. Survey Research Methods, 11(3), 329�344.
Conference papers
� Zhao, Q., Wentz, E. A., Fotheringham, A. S., Yabiku, S. T., Hall, S. J., Dai, J., Clark, M., & Heavenrich, H. (2016). Semi-parametric Geographically Weighted Regression (S-GWR): a Case Study on Invasive Plant Species Distribution in Subtropical Nepal. In 9th International Conference on Geographic Information Science, Montreal, Canada.
� Zhao, Q., Wentz, E. A. & Murray, A. T. (2014). Shade optimization in a desert environment. In 8th International Conference on Geographic Information Science, Vienna, Austria.