Matthew Dube

Education

  • The University of Maine, 2016, Ph.D. Spatial Information Science and Engineering
  • The University of Maine, 2009, M.S. Spatial Information Science and Engineering
  • The University of Maine, 2007, B.A. Mathematics and Statistics

Biosketch

Dr. Dube is an Associate Professor of Data Science, Computer Information Systems, and Applied Mathematics 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. He regularly accepts GSBSE students for course work in data mining, data visualization, data cleaning, and R programming, and teaches the computational biology section of BMS 625.

To reach Matthew’s CV press here.

Research Interests

  • Bioinformatics/Computational Biology
  • Spatial and Temporal Data Science

Selected Publications

  • Dube, M. & R. Graziano (2023) “Identification: A Teaching Moment for Privacy and Databases.” ACM EngageCSEDU (in press)
  • Claramunt, C. & M. Dube (2023) “A Brief Review of the Evolution of GIScience since the NCGIA Research Initiatives.” Journal of Spatial Information Science 26(1), 137-150.
  • Gleason, K., M. Dube, J. Martin, E. Bernier, & J. Gipson (2023) “Rural Housing Insecurity: A Case Study Comparison Across Four Rural Areas in Maine.” Journal of Ethnographic and Qualitative Research 17(1), 39-57.
  • Hebert-Dufresne, L., T. Waring, G. St. Onge, M. Niles, S. Miller, L. Corlew, M. Dube, N. Gotelli, & B. McGill (2022) “Source-sink Cooperation Dynamics Limit Institutional Evolution in a Group-strucutred Society.” Royal Society Open Science 9(3), 211743
  • Gleason, K., M. Dube, E. Bernier, & J. Martin (2022) “Using Geographic Information Systems to Assess Community-Level Vulnerability to Housing Insecurity in Rural Areas.” Journal of Community Psychology 50(4), 1993-2012
  • Dube, M., J. Clark, & R. Powell (2022) “Graphical Metrics for Analyzing District Maps.” Journal of Computational Social Science 5(1), 449-475
  • Dube, M. (2021) “Deriving Topological Relations from Topologically Augmented Direction Relation Matrices.” Journal of Spatial Information Science 23(1), 1-23
  • 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(1): 62-83.
  • Dube, M., M. Egenhofer, J. Barrett, & N. Simpson. (2019) “Beyond the Digital Jordan Curve: Unconstrained Simple Pixel-Based Raster Relations.” Journal of Computer Languages 54(1): 100906
  • 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.
  • Dube, M., D. Pacciamonti, L. Underhill, & R. Causey (2018). “Differences in Foaling Rates of Thoroughbred Mares with Different Histories.” Journal of Equine Veterinary Science 66(1): 246.
  • Dube, M. (2017) “Topological Augmentation: A Step Forward for Qualitative Spatial Partition Reasoning.” Journal of Spatial Information Science 14(1): 1-29.
  • Dube, M. (2015) “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.
  • 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.
  • 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.

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)