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Qian Ye


Quantitative Methods, GIS, Network Optimization and Modeling, Transportation; Statistics, Machine Learning, Data Mining

Educational Background:

  • PhD, Geography (GPA: 3.9) Minor: Computational Science
    The University of Tennessee, Knoxville | 2014 – present
  • MS, Statistics (GPA: 3.9)
    The University of Tennessee, Knoxville | 2015 – present
  • MS, Geographic Information Science (GPA: 3.8)
    Beijing Normal University | 2009 – 2012
  • Exchange Graduate Student, Urban Planning and Regional Economics (GPA: 3.8) University of North Carolina at Greensboro | 2010 – 2011
  • BS, Tourism Management (GPA: 3.85) Minor: Computer Science
    Beijing Forestry University | 2005 – 2009

Courses Taught:

  • GEOG 415: Quantitative Methods in Geography (lab instructor, Spring 2018)
  • GEOG 311: Geo-Visualization and GIS (lab instructor, Fall 2017)
  • GEOG 101: World Geography (teaching assistant, Spring 2017)


  • 2018 Q. Ye, and H. Kim, “Assessing Network Vulnerability of Heavy Rail Systems with the Impact of Partial Node Failures”, Transportation. 9859-6
  • 2014 R. Li, Q. Guo, J. He, D. Wu, H. Yin, Q. Ye, “Spatial temporal characteristics of development efficiencies for urban tourism: a case study of three urban agglomerations in the Bohai Rim”, Progress in Geography, 33(6), 773-785. [Chinese Social Science Citation Index (CSSCI)]
  • 2013 Q. Ye, D. Wu, T. Dai, Q. Guo, J. Bao, “A comparative analysis of hierarchy and regional system of domestic air passenger transport network between China and USA”, Geographical Research, 32(6), 1084-1094. [CSSCI]
  • 2011 J. Geng, D. Wu, Q. Ye, H. Yang, “Research of the evaluation and optimization of tourism routes based on graph theory in Tibet”, Areal Research and Development, 30(1), 104-109. [CSSCI]
  • 2010 Q. Ye, Z. Wang, D. Wu, “A study on recreation planning based on the effect of negative air ions: a case study of Beijing Yuanmingyuan Park”, China Population Resources and Environment, 20(5), 70-74. [CSSCI]
  • 2010 Y. Zhang, Q. Ye, D. Wu, “Analysis of the difference of potential tourist volume within Hebei province”, Tourism Forum, 3(2), 153-156. [CSSCI]

Contact Information