Matthew Dube

Education

  • The University of Maine, 2016, PhD Spatial Information Science and Engineering
  • The University of Maine, 2009, MS Spatial Information Science and Engineering
  • The University of Maine, 2007, BA Mathematics and Statistics

Biosketch

Dr. Dube is an Assistant Professor of Computer Information Systems at the University of Maine at Augusta, where his research focuses on geospatial reasoning and data science as they apply to real world problems and systems. His teaching regimen includes databases, data science, data analytics, programming, geography, and interdisciplinary studies. He works during the spring and summer as a baseball umpire and also works with the Upward Bound program at the University of Maine as an aspirations instructor and research mentor. Dr. Dube has spoken at many research conferences on geospatial topics and publishes and reviews in GIScience journals.

Selected Publications

  • Clark, J., M. Dube, & R. Powell. (2020) “Stemming the Tide: The Impact of Redistricting on the 2018 Midterm Election.” In: The Unforeseen Impacts of the 2018 Midterms. T.S. Sisco, J.C. Lucas, & C.J. Galdieri (eds.), Palgrave Pivot, 7-40.
  • Powell, R., J. Clark, & M. Dube (2020) “Partisan Gerrymandering, Clustering, or Both? A New Approach to a Persistent Question.” Election Law Journal 19(1), 1-22.
  • Dube, M. & M. Egenhofer (2020) “Binary Topological Relations on the Digital Sphere.” International Journal of Approximate Reasoning 116, 62-83.
  • Dube, M., M. Egenhofer, J. Barrett, & N. Simpson (2019). “Beyond the Digital Jordan Curve: Unconstrained Simple Raster Relations.” Journal of Computer Languages 54(1) (in press)
  • Gleason, K. & M. Dube. (2019) “Geographic Needs Assessment for Rural Homeless Services in Maine.” Society for Community Research and Action 2019 Biennial June 2019
  • Clark, J., M. Dube, & R. Powell. (2019). “Stemming the Tide: The Impact of Redistricting on the 2018 Midterm Election.” The American Elections Symposium 2019, Manchester, NH, March 2019.
  • Honda, H., T. Surrette, & M. Dube. (2018). “Assessing and Improving Vocational Relevance in Professional Studies.” New England Educational Assessment Network Fall Forum, Worcester, MA, November 2018.
  • Dube, M., D. Pacciamonti, L. Underhill, & R. Causey (2018). “Differences in Foaling Rates of Thoroughbred Mares with Different Histories.” International Symposium on Equine Reproduction July 2018.
  • Poulin, A., M. Hutchinson, M. Dube, M. Stokes, S. Mitchell, A. Edwards, K. Harvey, A. Myer, & R. Causey (2018). “Abatement of Streptococcus Equi in Soiled Equine Bedding and Compost.” Journal of Equine Veterinary Science 70(1): 117-122.
  • Powell, R., J. Clark, & M. Dube. (2017) “Assessing the Causes of District Homogeneity in U.S. House Elections.” American Political Science Association, San Francisco, CA, August, 2017.
  • Powell, R., M. Dube, & J. Clark. (2017) “Mathematical Characteristics of District Boundary Lines as Indicators of Partisan Gerrymandering in U.S. House Elections.” Midwest Political Science Association Conference, Chicago, IL, April, 2017.
  • Dube, M. (2017) “Topological Augmentation: A Step Forward for Qualitative Spatial Partition Reasoning.” Journal of Spatial Information Science 14(1): 1-29.
  • Dube, M. & J. Clark. (2016) “Beyond the Circle: Measuring District Compactness Using Graph Theory.” Northeast Political Science Association Conference, Boston, MA, November, 2016.
  • Dube, M. (2016) “Beyond Homeomorphic Deformations: Neighborhoods of Topological Change.” Advancing Geographic Information Science: The Past and Next Twenty Years, H. Onsrud & W. Kuhn (eds.), GSDI Association Press, 137-152.
  • Powell, R., J. Clark, & M. Dube. (2015) “Determining an Expected House Majority through Pattern Analysis.” Northeast Political Science Association Conference, Philadelphia, PA, November, 2015.
  • Dube, M., J. Barrett, & M. Egenhofer. (2015) “From Metric to Topology: Determining Relations in Discrete Space.” Conference on Spatial Information Theory, Santa Fe, NM. S. Fabrikant, M. Raubal, M. Bertolotto, C. Davis, S. Bell, & S. Freundschuh (eds.), Lecture Notes in Computer Science 9368 151-171.
  • Dube, M., M. Egenhofer, J. Lewis, S. Stephen, & M. Plummer. (2015) “Swiss Canton Regions: A Model for Complex Regions in Geographic Partitions.” Conference on Spatial Information Theory, Santa Fe, NM. S. Fabrikant, M. Raubal, M. Bertolotto, C. Davis, S. Bell, & S. Freundschuh (eds.), Lecture Notes in Computer Science 9368 309-330.
  • Dube, M. & M. Egenhofer. (2014) “Surrounds in Partitions.” 22nd ACM SIGSPATIAL 2014 GIS, Dallas, TX. Y. Huang, M. Schneider, M. Gertz, J. Krumm, & J. Sankaranarayanan (eds.), ACM Press, 233-242.
  • Dube, M. (2014) “Partitions to Improve Spatial Reasoning.” 1st ACM SIGSPATIAL Ph.D. Symposium, Dallas, TX, November, 2014.
  • Lewis, J., M. Dube, & M. Egenhofer. (2013) “The Topology of Spatial Scenes in R2.” Conference on Spatial Information Theory, Scarborough, United Kingdom. A. Galton, B. Bennett, T. Tenbrink, & Z. Wood (eds.), Lecture Notes in Computer Science 8116, 495-515.
  • Dube, M. & M. Egenhofer. (2012) “An Ordering of Convex Topological Relations.” GIScience 2012, Columbus, OH. N. Xiao, M. Kwan, M. Goodchild, & S. Shekhar (eds.), Lecture Notes in Computer Science 7478, 72-86.
  • Egenhofer, M. & M. Dube. (2009) “Topological Relations from Metric Refinements.” 17th ACM SIGSPATIAL 2009 GIS, Seattle, WA. D. Agrawal, W. Aref, C. Lu, M. Mokbel, P. Scheuermann, C. Shahabi, & O. Wolfson (eds.), ACM Press, 158-167.
  • Dube, M. & M. Egenhofer. (2009) “Establishing Similarity Across Multi-Granular Topological-Spatial Relation Ontologies.” QuaCon 2009 – First International Workshop on Quality of Context, Stuttgart, Germany. D. Fritsch & K. Rothermel (eds.), Lecture Notes in Computer Science 5786, 98-108.

Courses Taught

  • BMS 625 Foundations: Biostatistics and Computational Biology (Fall Course)
  • CIS 450 Data Mining (Fall Course)
  • CIS 449 Introduction to R Programming (Summer Course)
  • DSC 552 Data Visualization (to be available)